James McCann

C Arizona Diamondbacks

Age 37 R/R 6'2" / 235 lbs MLB HR -11% Svc 11.163 · Ctrl thru 2027

Overview

MLB40-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	34	MLBBAL	233	.234/.284/.388	8	1	83	0.3
2025	35	AAAATL	160	.297/.338/.493	6	0	68	—	.230/.255/.355
2025	35	MLBARI	137	.260/.326/.431	5	0	110	1.1
2026	36	MLBARI	166	.282/.313/.455	7	0	111	0.9
2027PROJ	37	MLBARI	117	.253/.298/.423	4	1	98	0.3
2028PROJ	38	MLBARI	80	.241/.284/.396	3	0	87	-0.7

Last 3 seasons WAR 2.3 · Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service11.163First FA2028

2027Ext / FA-deal$2M

Skills · percentileStatcast 2024-2026

Bat Spd65

Barrel%56

Avg EV54

xwOBA52

Speed10

Form.244/.279/.434 · rolling true talent (60d window) · proj .248/.291/.419

CompsMiguel Olivo (age 37) · Nick Hundley (age 35) · Rod Barajas (age 36)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 10198vR 89

AVG/OBP/SLG.253 / .298 / .423

PA117

HR4

K%25

BB%5

BABIP305

ISO156

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · ContractCON 50 / POW 50

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT50

xAVG

360.240

POWER50

Barrel%

569.1

Avg EV

5489.4

Bat Spd

6572.9

EYE45

scouting grade only

SPEED45

Sprint

1025.2

Recent Formrolling true talent ⓘ

K%28%▼▼34% over 32 PA (60d) · proj 25%

BB%4%▼0% over 32 PA (60d) · proj 5%

ISO.190▲.290 over 31 AB (60d) · proj .171

BABIP.294·.222 over 18 BIP (60d) · proj .296

SLASH.244/.279/.434·proj .248/.291/.419

Platoon Splits2024-2026 · 390 PA

vs LHP

vs RHP

Edge

134

256

—

wRC+

—

wOBA

304

305

—

ISO

170

151

◀L

BABIP

264

315

▶▶R

20.2%

27.7%

◀◀L

BB%

4.5%

6.2%

▶▶R

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status FA

MLB Debut 2015

Service 11.163 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$2M	+0.3	$1M	-$0.7M
Totals		$2M		$1M	-$0.7M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2011	21	A	West Michigan Whitecaps	—	38	34	2	1	0	0	2	12	1	0	0	59	135	88	223	29	87	32	5	114	-57	—	—	—	—	—	—
2011	21	ROK	GCL Tigers	—	16	14	5	1	0	1	1	1	1	0	0	357	438	643	1.080	286	333	6	6	470	122	—	—	—	—	—	—
2012	22	AA	Erie SeaWolves	—	230	220	44	12	0	2	8	44	0	2	2	200	228	282	510	82	240	19	3	227	18	—	—	—	—	—	—
2012	22	A+	Lakeland Flying Tigers	—	177	160	46	10	0	0	10	29	5	3	0	287	349	350	699	62	346	16	6	317	69	—	—	—	—	—	—
2012	22	INTL	Mesa Solar Sox	—	43	41	8	0	0	0	2	7	0	0	0	195	233	195	428		235	16	5	201	22	—	—	—	—	—	—
2013	23	AA	Erie SeaWolves	—	486	441	122	30	1	8	30	85	7	3	3	277	333	404	736	127	321	17	6	325	88	—	—	—	—	—	—
2013	23	INTL	Leones del Escogido	—	32	28	3	0	1	0	4	6	0	0	0	107	219	179	397	71	136	19	12	194	18	—	—	—	—	—	—
2014	24	AAA	Toledo Mud Hens	—	460	417	123	34	0	7	25	90	9	9	2	295	348	427	775	132	355	20	5	340	91	—	—	—	—	—	—
2015	25	MLB	Detroit Tigers	—	425	401	106	18	5	7	16	90	3	0	1	264	298	387	684	122	325	21	4	301	93	-3	-0	-6	+8	+9	0.8
2016	26	MLB	Detroit Tigers	—	373	344	76	9	1	12	23	109	2	0	1	221	274	358	631	137	283	29	6	280	79	-9	-0	+10	+7	+8	1.6
2016	26	AAA	Toledo Mud Hens	—	27	22	2	0	0	0	5	6	0	0	0	91	259	91	350		125	22	19	196	-11	—	—	—	—	—	—
2017	27	MLB	Detroit Tigers	—	391	352	89	14	2	13	26	89	9	1	0	253	320	415	735	162	300	23	7	326	111	+5	+0	-2	+7	+8	1.9
2018	28	MLB	Detroit Tigers	—	457	427	94	16	0	8	26	116	2	0	3	220	268	314	582	94	282	25	6	263	67	-18	-1	+6	+8	+10	0.5
2019	29	MLB	Chicago White Sox	—	476	439	120	26	1	18	30	137	6	4	1	273	328	460	789	187	359	29	6	348	119	+11	+0	-0	+8	+10	3.0
2020	30	MLB	Chicago White Sox	—	111	97	28	3	0	7	8	30	4	1	1	289	367	536	903	247	339	27	7	389	148	+6	-0	+4	+2	+2	1.5
2021	31	MLB	New York Mets	—	412	375	87	12	1	10	32	115	2	1	2	232	296	349	645	117	304	28	8	290	86	-7	-1	+3	+7	+9	1.2
2022	32	MLB	New York Mets	—	191	174	34	6	0	3	11	46	4	3	0	195	259	282	541	86	244	24	6	247	57	-10	+1	+4	+4	+4	0.3
2022	32	AA	Binghamton Rumble Ponies	—	41	38	10	2	0	1	3	17	0	0	0	263	317	395	712	132	450	41	7	319	46	—	—	—	—	—	—
2023	33	MLB	Baltimore Orioles	—	226	207	46	14	0	6	9	57	5	3	1	222	271	377	648	155	274	25	4	283	74	-7	+0	+3	+4	+5	0.5
2024	34	MLB	Baltimore Orioles	—	233	214	50	9	0	8	13	56	2	1	0	234	284	388	672	154	273	24	6	294	83	-5	+0	-2	+4	+5	0.3
2025	35	MLB	Arizona Diamondbacks	—	137	123	32	6	0	5	8	33	4	0	0	260	326	431	757	171	314	24	6	333	110	+2	+0	+1	+5	+3	1.1
2025	35	AAA	Gwinnett Stripers	—	160	148	44	11	0	6	9	41	0	0	0	297	338	493	831	196	365	26	6	358	68	—	—	—	—	—	—
2026	36	MLB	Arizona Diamondbacks	—	166	156	44	6	0	7	6	42	1	0	0	282	313	455	768	173	343	25	4	333	111	+2	+0	-0	+3	+4	0.9
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3598	3309	806	139	10	104	208	920	44	14	10	244	297	386	683	142	304	26	6	303	91	-39	-1	+22	+68	+78	13.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	21	A MLE	West Michigan Whitecaps	—	38	35	2	1	0	0	1	17	1	0	0	57	108	86	194	29	77	45	3	84	-57	—	—	—	—	—	—
2011	21	ROK MLE	GCL Tigers	—	16	14	4	1	0	1	1	1	1	0	0	286	375	571	946	286	256	6	6	348	122	—	—	—	—	—	—
2012	22	AA MLE	Erie SeaWolves	—	230	222	40	10	0	1	6	57	0	2	2	180	202	239	440	59	235	25	3	195	18	—	—	—	—	—	—
2012	22	A+ MLE	Lakeland Flying Tigers	—	177	163	41	10	0	0	7	41	5	3	0	252	303	313	616	61	318	23	4	270	69	—	—	—	—	—	—
2013	23	AA MLE	Erie SeaWolves	—	486	451	120	28	1	6	20	104	7	3	3	266	308	373	680	106	321	21	4	299	88	—	—	—	—	—	—
2014	24	AAA MLE	Toledo Mud Hens	—	460	425	114	28	0	7	17	106	9	9	2	268	310	384	694	115	328	23	4	302	91	—	—	—	—	—	—
2015	25	MLB MLE	Detroit Tigers	—	425	401	107	18	5	7	16	90	3	0	1	267	300	389	689	122	325	21	4	306	93	-3	-0	-6	+8	+9	0.8
2016	26	MLB MLE	Detroit Tigers	—	373	344	78	9	1	13	23	109	2	0	1	227	279	372	651	145	283	29	6	286	79	-9	-0	+10	+7	+8	1.6
2016	26	AAA MLE	Toledo Mud Hens	—	27	23	2	0	0	0	4	7	0	0	0	87	222	87	309		118	26	15	152	-11	—	—	—	—	—	—
2017	27	MLB MLE	Detroit Tigers	—	391	352	91	14	2	14	26	89	9	1	0	259	326	429	755	170	300	23	7	332	111	+5	+0	-2	+7	+8	1.9
2018	28	MLB MLE	Detroit Tigers	—	457	427	95	16	0	8	26	116	2	0	3	222	270	316	586	94	282	25	6	267	67	-18	-1	+6	+8	+10	0.5
2019	29	MLB MLE	Chicago White Sox	—	476	440	120	26	1	18	29	137	6	4	1	273	326	459	785	186	359	29	6	345	119	+11	+0	-0	+8	+10	3.0
2020	30	MLB MLE	Chicago White Sox	—	111	97	28	3	0	7	8	30	4	1	1	289	367	536	903	247	339	27	7	387	148	+6	-0	+4	+2	+2	1.5
2021	31	MLB MLE	New York Mets	—	412	376	90	13	1	10	31	115	2	1	2	239	301	359	660	120	304	28	8	295	86	-7	-1	+3	+7	+9	1.2
2022	32	MLB MLE	New York Mets	—	191	174	35	6	0	3	11	46	4	3	0	201	265	287	552	86	244	24	6	253	57	-10	+1	+4	+4	+4	0.3
2022	32	AA MLE	Binghamton Rumble Ponies	—	41	39	8	1	0	1	2	20	0	0	0	205	244	308	552	103	403	49	5	236	46	—	—	—	—	—	—
2023	33	MLB MLE	Baltimore Orioles	—	226	207	45	13	0	6	9	57	5	3	1	217	267	367	634	150	274	25	4	278	74	-7	+0	+3	+4	+5	0.5
2024	34	MLB MLE	Baltimore Orioles	—	233	214	49	8	0	8	13	56	2	1	0	229	279	379	658	150	273	24	6	291	83	-5	+0	-2	+4	+5	0.3
2025	35	MLB MLE	Arizona Diamondbacks	—	137	123	31	5	0	5	8	33	4	0	0	252	319	415	733	163	314	24	6	331	110	+2	+0	+1	+5	+3	1.1
2025	35	AAA MLE	Gwinnett Stripers	—	160	152	35	7	0	4	5	50	0	0	0	230	255	355	610	125	305	31	3	268	68	—	—	—	—	—	—
2026	36	MLB MLE	Arizona Diamondbacks	—	166	156	43	5	0	7	6	42	1	0	0	276	307	442	749	167	343	25	4	332	111	+2	+0	-0	+3	+4	0.9
2011	21	A MLE	2 teams	—	54	49	5	1	0	1	2	18	2	0	0	102	170	184	353	82	129	33	4	162	-4	—	—	—	—	—	—
2011	21	A RAW	2 teams	—	54	48	7	2	0	1	3	13	2	0	0	146	226	250	476	104	171	24	6	219	-4	—	—	—	—	—	—
2012	22	AA MLE	3 teams	—	450	427	89	22	0	1	14	108	5	5	2	208	242	267	509	59	274	24	3	228	40	—	—	—	—	—	—
2012	22	AA RAW	3 teams	—	450	421	98	22	0	2	20	80	5	5	2	233	276	299	575	67	281	18	4	260	40	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	518	481	129	30	1	7	22	110	7	3	3	268	310	378	688	110	329	21	4	299	88	—	—	—	—	—	—
2013	23	AA RAW	2 teams	—	518	469	125	30	2	8	34	91	7	3	3	267	325	390	716	124	310	18	7	317	88	—	—	—	—	—	—
2014	24	AAA MLE	Toledo Mud Hens	—	460	425	114	28	0	7	17	106	9	9	2	268	310	384	694	115	335	23	4	302	91	—	—	—	—	—	—
2014	24	AAA RAW	Toledo Mud Hens	—	460	417	123	34	0	7	25	90	9	9	2	295	348	427	775	132	355	20	5	340	91	—	—	—	—	—	—
2015	25	MLB MLE	Detroit Tigers	—	425	401	107	18	5	7	16	90	3	0	1	267	300	389	689	122	328	21	4	306	93	-3	-0	-6	+8	+9	0.8
2015	25	MLB RAW	Detroit Tigers	—	425	401	106	18	5	7	16	90	3	0	1	264	298	387	684	122	325	21	4	301	93	-3	-0	-6	+8	+9	0.8
2016	26	MLB MLE	2 teams	—	400	367	80	9	1	13	27	116	2	0	1	218	275	354	629	136	278	29	7	277	73	-13	-0	+10	+7	+9	1.3
2016	26	MLB RAW	2 teams	—	400	366	78	9	1	12	28	115	2	0	1	213	273	342	614	128	273	29	7	275	73	-13	-0	+10	+7	+9	1.3
2017	27	MLB MLE	Detroit Tigers	—	391	352	91	14	2	14	26	89	9	1	0	259	326	429	755	170	306	23	7	332	111	+5	+0	-2	+7	+8	1.9
2017	27	MLB RAW	Detroit Tigers	—	391	352	89	14	2	13	26	89	9	1	0	253	320	415	735	162	300	23	7	326	111	+5	+0	-2	+7	+8	1.9
2018	28	MLB MLE	Detroit Tigers	—	457	427	95	16	0	8	26	116	2	0	3	222	270	316	586	94	285	25	6	267	67	-18	-1	+6	+8	+10	0.5
2018	28	MLB RAW	Detroit Tigers	—	457	427	94	16	0	8	26	116	2	0	3	220	268	314	582	94	282	25	6	263	67	-18	-1	+6	+8	+10	0.5
2019	29	MLB MLE	Chicago White Sox	—	476	440	120	26	1	18	29	137	6	4	1	273	326	459	785	186	358	29	6	345	119	+11	+0	-0	+8	+10	3.0
2019	29	MLB RAW	Chicago White Sox	—	476	439	120	26	1	18	30	137	6	4	1	273	328	460	789	187	359	29	6	348	119	+11	+0	-0	+8	+10	3.0
2020	30	MLB MLE	Chicago White Sox	—	111	97	28	3	0	7	8	30	4	1	1	289	367	536	903	247	339	27	7	387	148	+6	-0	+4	+2	+2	1.5
2020	30	MLB RAW	Chicago White Sox	—	111	97	28	3	0	7	8	30	4	1	1	289	367	536	903	247	339	27	7	389	148	+6	-0	+4	+2	+2	1.5
2021	31	MLB MLE	New York Mets	—	412	376	90	13	1	10	31	115	2	1	2	239	301	359	660	120	315	28	8	295	86	-7	-1	+3	+7	+9	1.2
2021	31	MLB RAW	New York Mets	—	412	375	87	12	1	10	32	115	2	1	2	232	296	349	645	117	304	28	8	290	86	-7	-1	+3	+7	+9	1.2
2022	32	MLB MLE	2 teams	—	232	213	43	8	0	4	13	66	4	3	0	202	261	296	557	94	269	28	6	250	55	-12	+1	+4	+4	+5	0.2
2022	32	MLB RAW	2 teams	—	232	212	44	8	0	4	14	63	4	3	0	208	270	302	571	94	272	27	6	260	55	-12	+1	+4	+4	+5	0.2
2023	33	MLB MLE	Baltimore Orioles	—	226	207	45	13	0	6	9	57	5	3	1	217	267	367	634	150	267	25	4	278	74	-7	+0	+3	+4	+5	0.5
2023	33	MLB RAW	Baltimore Orioles	—	226	207	46	14	0	6	9	57	5	3	1	222	271	377	648	155	274	25	4	283	74	-7	+0	+3	+4	+5	0.5
2024	34	MLB MLE	Baltimore Orioles	—	233	214	49	8	0	8	13	56	2	1	0	229	279	379	658	150	266	24	6	291	83	-5	+0	-2	+4	+5	0.3
2024	34	MLB RAW	Baltimore Orioles	—	233	214	50	9	0	8	13	56	2	1	0	234	284	388	672	154	273	24	6	294	83	-5	+0	-2	+4	+5	0.3
2025	35	AAA MLE	2 teams	—	297	275	67	13	0	9	13	83	4	0	0	244	288	389	677	145	310	28	4	297	87	—	—	—	—	—	—
2025	35	AAA RAW	2 teams	—	297	271	76	17	0	11	17	74	4	0	0	280	332	465	797	185	342	25	6	347	87	—	—	—	—	—	—
2026	36	MLB MLE	Arizona Diamondbacks	—	166	156	43	5	0	7	6	42	1	0	0	276	307	442	749	167	333	25	4	332	111	+2	+0	-0	+3	+4	0.9
2026	36	MLB RAW	Arizona Diamondbacks	—	166	156	44	6	0	7	6	42	1	0	0	282	313	455	768	173	343	25	4	333	111	+2	+0	-0	+3	+4	0.9
2011	21	A MLE	2 teams	—	54	50	5	1	0	1	2	18	2	0	0	100	170	180	350	80	130	33	4	162	-4	—	—	—	—	—	—
2012	22	AA MLE	3 teams	—	450	428	89	22	0	1	14	108	5	5	2	208	242	266	509	58	271	24	3	228	40	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	518	484	129	30	1	7	22	110	7	3	3	267	310	376	686	110	321	21	4	299	88	—	—	—	—	—	—
2014	24	AAA MLE	Toledo Mud Hens	—	460	431	114	28	0	7	17	106	9	9	2	265	310	378	689	114	328	23	4	302	91	—	—	—	—	—	—
2015	25	MLB MLE	Detroit Tigers	—	425	403	107	18	5	7	16	90	3	0	1	266	300	387	687	122	325	21	4	306	93	—	—	—	—	—	—
2016	26	MLB MLE	2 teams	—	400	368	80	9	1	13	27	116	2	0	1	217	275	353	629	136	272	29	7	277	73	—	—	—	—	—	—
2017	27	MLB MLE	Detroit Tigers	—	391	353	91	14	2	14	26	89	9	1	0	258	326	428	753	170	300	23	7	332	111	—	—	—	—	—	—
2018	28	MLB MLE	Detroit Tigers	—	457	426	95	16	0	8	26	116	2	0	3	223	270	317	587	94	282	25	6	267	67	—	—	—	—	—	—
2019	29	MLB MLE	Chicago White Sox	—	476	438	120	26	1	18	29	137	6	4	1	274	326	461	788	187	359	29	6	345	119	—	—	—	—	—	—
2020	30	MLB MLE	Chicago White Sox	—	111	98	28	3	0	7	8	30	4	1	1	286	367	531	898	245	339	27	7	387	148	—	—	—	—	—	—
2021	31	MLB MLE	New York Mets	—	412	376	90	13	1	10	31	115	2	1	2	239	301	359	660	120	304	28	8	295	86	—	—	—	—	—	—
2022	32	MLB MLE	2 teams	—	232	213	43	8	0	4	13	66	4	3	0	202	261	296	557	94	272	28	6	250	55	—	—	—	—	—	—
2023	33	MLB MLE	Baltimore Orioles	—	226	210	45	13	0	6	9	57	5	3	1	214	267	362	629	148	274	25	4	278	74	—	—	—	—	—	—
2024	34	MLB MLE	Baltimore Orioles	—	233	216	49	8	0	8	13	56	2	1	0	227	279	375	654	148	273	24	6	291	83	—	—	—	—	—	—
2025	35	AAA MLE	2 teams	—	297	278	67	13	0	9	13	83	4	0	0	241	288	385	673	144	309	28	4	297	87	—	—	—	—	—	—
2026	36	MLB MLE	Arizona Diamondbacks	—	166	158	43	5	0	7	6	42	1	0	0	272	307	437	743	165	343	25	4	332	111	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	34	MLB MLE	Baltimore Orioles	—	233	216	49	8	0	8	13	56	2	1	0	227	279	375	654	148	273	24	6	291	83	—	—	—	—	—	—
2025	35	AAA MLE	2 teams	—	297	278	67	13	0	9	13	83	4	0	0	241	288	385	673	144	309	28	4	297	87	—	—	—	—	—	—
2026	36	MLB MLE	Arizona Diamondbacks	—	166	158	43	5	0	7	6	42	1	0	0	272	307	437	743	165	343	25	4	332	111	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	37	MLB MLE	ARI	100%	188	175	43	8	0	7	9	47	2	1	0	248	294	419	712	170	296	25	5	313	98	-0	+0	-2	+3	+4	0.3
▸ 2027 — real world (MLB)
2027	37	MLB CTX	ARI	100%	117	109	27	5	0	4	6	29	1	1	0	253	298	423	721	170	305	25	5	317	98	-0	+0	-1	+2	+3	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	38	MLB MLE	ARI	100%	80	75	18	3	0	3	4	20	1	0	0	237	280	392	673	155	286	25	5	297	87	-1	+0	-8	+1	+2	-0.7
2028	38	MLB CTX	ARI	100%	80	75	18	3	0	3	4	20	1	0	0	241	284	396	681	155	294	25	5	300	87	-1	+0	-8	+1	+2	-0.7
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3678	3384	824	142	10	107	212	940	45	14	10	243	297	386	683	143	304	26	6	303	85	-40	-1	+14	+70	+80	12.5
/ 162G	—	A+C		—	650	598	146	25	2	19	37	166	8	2	2	244	297	388	685	144	305	26	6	303	85	-7	-0	+2	+12	+14	2.2
Career	—	MLE		—	5505	5091	1240	235	11	134	282	1388	69	32	17	244	292	373	665	129	306	25	5	294	85	-40	-1	+13	+72	+82	12.8
/ 162G	—	MLE		—	650	601	147	28	1	16	33	164	8	4	2	245	292	374	667	130	308	25	5	294	85	-7	-0	+2	+12	+14	2.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAAGwinnett Stripers · 160 PAwOBA .355 → .268 (−87)K% 25.6% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.62%	÷0.976	×1.200	—	—	31.50%
BB% (unintentional) /PA	5.62%	÷1.140	×0.690	—	×0.940	3.20%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	25.23%	÷0.968	×0.930	×1.019	×0.940	23.22%
Doubles /BIP	10.28%	÷1.162	×0.830	×1.019	×0.940	7.04%
Triples /BIP	0.00%	÷0.900	×0.970	×1.019	×0.940	0.00%
Home runs /BIP	5.61%	÷0.961	×0.700	—	×0.940	3.84%

Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 94, 2B 132, 3B 80, K 95, BB 128 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .355 → .268; ISO .196 → .131; BABIP .365 → .305. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AABinghamton Rumble Ponies · 41 PAwOBA .310 → .236 (−74)K% 41.5% → 49.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	41.46%	÷1.017	×1.220	—	—	49.72%
BB% (unintentional) /PA	7.32%	÷1.057	×0.700	—	×0.940	4.56%
HBP% /PA	0.00%	—	×0.850	—	×0.940	0.00%
Singles /BIP	33.33%	÷0.983	×0.970	—	×0.940	30.93%
Doubles /BIP	9.52%	÷0.988	×0.860	—	×0.940	7.79%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.940	0.00%
Home runs /BIP	4.76%	÷0.895	×0.780	—	×0.940	3.90%

Factors used: league row EL. Park (home-season share, regressed): HR 79, 1B 97, 2B 98, 3B 130, K 103, BB 111 — applied at half strength. Age: age 32 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average).

Result: wOBA .310 → .236; ISO .132 → .096; BABIP .450 → .403. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AAAToledo Mud Hens · 27 PAwOBA .193 → .152 (−40)K% 22.2% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.009	×1.200	—	—	26.42%
BB% (unintentional) /PA	18.52%	÷1.004	×0.690	—	×1.018	12.96%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	12.50%	÷1.001	×0.930	—	×1.018	11.82%
Doubles /BIP	0.00%	÷1.092	×0.830	—	×1.018	0.00%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.018	0.00%
Home runs /BIP	0.00%	÷0.899	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 118, 3B 130, K 102, BB 101 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .193 → .152; ISO .000 → .000; BABIP .125 → .118. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 AAAToledo Mud Hens · 460 PAwOBA .336 → .302 (−34)K% 19.6% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.57%	÷1.017	×1.200	—	—	23.08%
BB% (unintentional) /PA	5.43%	÷1.053	×0.690	—	×1.048	3.73%
HBP% /PA	1.96%	—	×0.940	—	×1.048	1.93%
Singles /BIP	25.08%	÷0.999	×0.930	×0.986	×1.048	24.13%
Doubles /BIP	10.40%	÷1.031	×0.830	×0.986	×1.048	8.65%
Triples /BIP	0.00%	÷1.049	×0.970	×0.986	×1.048	0.00%
Home runs /BIP	2.14%	÷0.899	×0.840	—	×1.048	2.10%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 106, 3B 110, K 103, BB 111 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .336 → .302; ISO .132 → .117; BABIP .355 → .328. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2013 AAErie SeaWolves · 486 PAwOBA .320 → .299 (−21)K% 17.5% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.49%	÷1.004	×1.220	—	—	21.26%
BB% (unintentional) /PA	5.97%	÷1.034	×0.700	—	×1.027	4.15%
HBP% /PA	1.44%	—	×0.850	—	×1.027	1.26%
Singles /BIP	23.31%	÷0.998	×0.970	×1.029	×1.027	23.96%
Doubles /BIP	8.43%	÷0.965	×0.860	×1.029	×1.027	7.94%
Triples /BIP	0.28%	÷0.902	×0.950	×1.029	×1.027	0.31%
Home runs /BIP	2.25%	÷1.020	×0.780	—	×1.027	1.77%

Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 100, 2B 93, 3B 80, K 101, BB 107 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .320 → .299; ISO .127 → .112; BABIP .321 → .321. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2012 AAErie SeaWolves · 230 PAwOBA .222 → .195 (−27)K% 19.1% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.13%	÷0.948	×1.220	—	—	24.62%
BB% (unintentional) /PA	3.48%	÷1.013	×0.700	—	×1.042	2.50%
HBP% /PA	0.00%	—	×0.850	—	×1.042	0.00%
Singles /BIP	17.05%	÷1.003	×0.970	×1.018	×1.042	17.49%
Doubles /BIP	6.82%	÷1.042	×0.860	×1.018	×1.042	5.97%
Triples /BIP	0.00%	÷0.900	×0.950	×1.018	×1.042	0.00%
Home runs /BIP	1.14%	÷1.260	×0.780	—	×1.042	0.73%

Factors used: league row EL. Park (home-season share, regressed): HR 152, 1B 101, 2B 108, 3B 80, K 90, BB 103 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .222 → .195; ISO .082 → .062; BABIP .240 → .235. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2012 A+Lakeland Flying Tigers · 177 PAwOBA .310 → .270 (−40)K% 16.4% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.38%	÷1.004	×1.420	—	—	23.18%
BB% (unintentional) /PA	5.08%	÷0.982	×0.750	—	×1.012	3.93%
HBP% /PA	2.82%	—	×0.930	—	×1.012	2.66%
Singles /BIP	27.48%	÷1.040	×0.920	×1.001	×1.012	24.63%
Doubles /BIP	7.63%	÷0.970	×0.960	×1.001	×1.012	7.65%
Triples /BIP	0.00%	÷1.150	×0.810	×1.001	×1.012	0.00%
Home runs /BIP	0.00%	÷1.122	×0.880	—	×1.012	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 124, 1B 108, 2B 94, 3B 130, K 101, BB 96 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .310 → .270; ISO .062 → .059; BABIP .346 → .318. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2011 AWest Michigan Whitecaps · 38 PAwOBA .114 → .084 (−30)K% 31.6% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.58%	÷0.970	×1.360	—	—	44.28%
BB% (unintentional) /PA	5.26%	÷1.062	×0.690	—	×1.015	3.47%
HBP% /PA	2.63%	—	×0.780	—	×1.015	2.08%
Singles /BIP	4.55%	÷1.026	×0.920	—	×1.015	4.14%
Doubles /BIP	4.55%	÷0.972	×0.830	—	×1.015	3.94%
Triples /BIP	0.00%	÷1.150	×0.910	—	×1.015	0.00%
Home runs /BIP	0.00%	÷0.919	×0.800	—	×1.015	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 105, 2B 94, 3B 130, K 94, BB 112 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average).

Result: wOBA .114 → .084; ISO .029 → .022; BABIP .087 → .077. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#2Mike Heath'78-'91 * career totals — 14 seasons, 4,585 PA	6.9	4,585	86	54	249*	300*	388*	+53	+2	13.3	12.5
/162	664	12	8	+7.6	+0.4	1.9	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 14 projected seasons	5.7	3,795	111	15	244	294	388	+64	+23	12.9	11.9
/162	664	19	3	+11.3	+3.9	2.3	pk7: 11
#3Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#4Joe Oliver'89-'01 * career totals — 12 seasons, 3,698 PA	5.6	3,698	102	13	240*	292*	399*	+61	-1	9.4	9.2
/162	664	18	2	+11.0	-0.1	1.7	pk7: 9
#5Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#6Greg Myers'87-'05 * career totals — 14 seasons, 3,352 PA	5.0	3,352	87	3	246*	304*	393*	+48	+0	9.1	8.7
/162	664	17	1	+9.4	+0.0	1.8	pk7: 8

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
James McCann (OGILVIE)	37	50	50	45	45	246/291/415	169	296	4	1	25%	5%	98	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Miguel Olivo 2015 · MLB	37	48→50	51→60	43→50	36	243/277/403	160	316	19	5	30%	4%	89	+0.5	213/254/335	122	302	13	10	32%	5%	64	-1.3	200/241/313	113	282	12	10	33%	5%	52	-1.3
✕Nick Hundley 2019 · MLB	35	48→45	52→55	46→40	42	245/290/418	172	303	20	4	26%	6%	97	+1.1	226/277/380	154	301	18	7	30%	6%	84	+0.1	161/196/283	123	228	14	0	36%	3%	31	-0.8
✕Rod Barajas 2012 · MLB	36	43→47	56→60	46→30	43	232/274/418	186	243	26	2	18%	4%	92	+0.7	225/287/386	161	250	21	4	20%	7%	89	+0.5	202/270/342	140	220	20	0	19%	7%	74	-0.3
✕Kelly Stinnett 2006 · MLB	36	47	50	46→40	44	240/301/390	150	294	19	4	25%	7%	95	+1.0	212/264/329	117	271	14	5	26%	6%	67	-1.1	177/219/253	76	229	9	0	27%	5%	31	-1.0
✕José Hernández 2006 · MLB	37	47→57	50→55	41→45	45	242/299/391	150	302	19	5	26%	7%	95	+0.9	234/289/361	127	295	14	6	25%	7%	84	+0.1	230/285/340	110	295	11	6	25%	6%	75	-0.3
✕Doug Mirabelli 2007 · MLB	36	44	53→50	48→30	46	228/304/398	170	292	21	5	29%	8%	99	+1.2	228/300/390	162	298	20	7	29%	8%	95	+1.0	200/276/357	157	261	24	0	32%	9%	79	-0.0
✕Robinson Chirinos 2021 · MLB	37	44→46	53→60	43→50	50	226/326/403	178	292	21	4	29%	10%	108	+1.9	217/302/373	156	293	18	5	30%	9%	92	+0.7	192/283/338	146	265	17	2	32%	9%	78	-0.1
✕Kurt Suzuki 2021 · MLB	37	51→60	54→60	44→45	51	261/329/439	178	268	22	4	13%	7%	117	+2.6	227/302/364	137	254	16	4	18%	7%	90	+0.6	203/281/317	114	228	14	0	18%	7%	73	-0.2
✕A.J. Ellis 2018 · MLB	37	45→54	48→45	45→40	54	228/311/370	143	252	17	5	18%	9%	95	+0.9	247/334/371	124	299	12	6	20%	11%	103	+1.5	266/370/339	73	343	3	0	20%	14%	109	+0.6
✕Eliezer Alfonzo 2016 · AAA	37	44→54	50→55	44→40	36	230/265/372	142	284	19	5	27%	3%	77	-0.3	254/287/418	164	304	22	7	24%	4%	97	+1.1	269/293/443	174	312	26	3	23%	2%	104	+1.0
✕John Flaherty 2005 · MLB	37	48→52	52→45	38→40	43	248/284/415	167	272	19	5	18%	4%	94	+0.9	220/270/362	142	251	16	7	19%	6%	77	-0.3	160/203/244	84	184	9	0	19%	4%	24	-1.0
✕Alex Gonzalez 2013 · MLB	36	47→54	51→55	44→40	43	245/284/408	162	276	20	4	20%	5%	93	+0.8	222/272/344	122	261	13	7	20%	6%	73	-0.6	178/206/231	53	222	5	0	22%	3%	21	-0.9
✕Angel Berroa 2015 · AAA	38	49→56	49→50	42→50	40	246/291/392	146	290	17	6	22%	4%	92	+0.7	237/283/370	133	280	15	8	21%	4%	83	+0.1	227/262/329	102	258	11	3	17%	3%	63	-0.4
✕Stephen Vogt 2020 · MLB	35	47→57	56→60	47→40	49	246/306/449	203	282	22	6	22%	8%	110	+2.1	216/287/381	165	257	19	5	23%	9%	88	+0.4	179/259/328	149	204	20	1	24%	9%	66	-0.4
✕Sal Fasano 2008 · MLB	36	42	52→55	44→40	37	220/278/379	159	274	21	4	28%	4%	85	+0.2	203/259/316	113	281	12	6	31%	4%	62	-1.4	175/227/258	82	257	7	4	33%	3%	35	-1.1
✕Adam Rosales 2018 · MLB	35	44→50	51→55	45	40	225/281/387	162	304	19	7	32%	6%	86	+0.3	198/248/332	134	258	16	5	29%	5%	61	-1.5	175/223/296	120	224	15	3	29%	5%	42	-1.8
✕Marquis Grissom 2005 · MLB	38	55→59	53→60	49→50	46	281/315/455	174	296	21	7	14%	5%	115	+2.4	248/293/391	143	269	17	7	15%	6%	92	+0.7	202/236/279	78	219	10	4	14%	4%	44	-0.7
✕Vance Wilson 2009 · MLB	36	49	50	43→40	44	248/299/406	157	286	18	9	21%	6%	98	+1.2	232/292/386	154	280	19	6	24%	6%	91	+0.7	213/266/351	138	253	20	0	24%	4%	71	-0.3
✕A.J. Pierzynski 2014 · MLB	37	52→62	52→55	44→40	43	268/301/432	164	279	21	2	14%	3%	105	+1.7	261/296/386	125	281	14	2	13%	4%	91	+0.7	258/292/361	104	279	10	1	11%	3%	85	+0.1
✕Ruben Mateo 2015 · AAA	37	48→50	55→60	43→45	43	252/312/433	180	280	24	3	20%	5%	109	+2.0	221/285/361	140	262	18	6	23%	5%	83	+0.1	149/217/253	104	165	17	0	23%	4%	32	-1.2

James McCann

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps