Max Stassi

C Sacramento River Cats

Age 36 R/R 5'9" / 210 lbs AAA HR -15%H -3% Svc 13.000 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	31	MLBLAA	375	.180/.268/.303	9	0	64	0.2
2024	33	AAACWS	16	.091/.375/.091	0	0	37	—	.083/.312/.083
2025	34	AAASF	84	.265/.405/.382	1	1	78	—	.219/.321/.315
2026	35	No MLB games played
2027PROJ10% MLB	36	MLBSF	8	.203/.295/.335	0	0	84	0.0
2028PROJMLE	37	MLBSF	1	.192/.282/.311	0	0	73	-0.0

Last 3 seasons WAR 0.2 · Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service13.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2020-2022

Barrel%64

Avg EV56

xwOBA46

Speed12

CompsMatt Treanor (age 36) · Miguel Ojeda (age 36) · Jonathan Aceves (age 35)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†84

AVG/OBP/SLG.203 / .295 / .335

PA8

HR0

K%25

BB%12

BABIP259

ISO127

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractPOW 56

Toolsscout grade · Statcast %ile · 2020-2022

CONTACT—

xAVG

100.209

POWER56

Barrel%

6410.3

Avg EV

5689.5

EYE62

scouting grade only

SPEED36

Sprint

1225.6

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

Status FA

MLB Debut 2014

Service 13.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	+0.0	$0.1M	-$1M
Totals		$1M		$0.1M	-$1M

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)
2010	19	A	Kane County Cougars	—	465	411	94	21	1	13	45	141	5	3	3	229	312	380	692	151	312	30	10	310	47	—	—	—	—	—	—
2011	20	A+	Stockton Ports	—	139	121	28	6	0	2	16	22	2	1	1	231	331	331	662	99	268	16	12	306	62	—	—	—	—	—	—
2012	21	A+	Stockton Ports	—	360	314	84	18	0	15	27	83	8	3	1	268	341	468	809	201	304	23	8	348	92	—	—	—	—	—	—
2012	21	INTL	Phoenix Desert Dogs	—	52	48	13	3	0	1	3	12	0	1	0	271	314	396	710	125	343	23	6	311	97	—	—	—	—	—	—
2013	22	AA	Corpus Christi Hooks	—	323	289	80	20	1	17	19	68	8	1	1	277	339	529	868	253	301	21	6	371	91	—	—	—	—	—	—
2014	23	MLB	Houston Astros	—	20	20	7	2	0	0	0	6	0	0	0	350	350	450	800	100	500	30	0	355	121	+0	+0	+0	+8	+0	1.0
2014	23	AAA	Oklahoma City RedHawks	—	425	392	97	20	2	9	22	103	6	1	0	247	298	378	675	130	312	24	5	299	55	—	—	—	—	—	—
2015	24	MLB	Houston Astros	—	17	15	6	0	0	1	1	5	0	0	0	400	438	600	1.038	200	556	29	6	430	178	+2	+0	-0	+7	+0	0.8
2015	24	AAA	Fresno Grizzlies	—	328	294	62	8	2	13	26	93	3	1	1	211	282	384	666	173	257	28	8	293	42	—	—	—	—	—	—
2015	24	INTL	Indios de Mayaguez	—	27	25	7	3	0	1	1	9	1	0	0	280	333	520	853	240	400	33	4	373	139	—	—	—	—	—	—
2016	25	AAA	Fresno Grizzlies	—	266	243	56	12	1	7	20	65	2	1	0	230	294	374	669	144	287	24	8	299	43	—	—	—	—	—	—
2017	26	MLB	Houston Astros	—	31	24	4	1	0	2	6	4	0	0	0	167	333	458	792	292	105	13	19	340	117	+1	+0	+1	+6	+1	0.8
2017	26	AAA	Fresno Grizzlies	—	287	241	64	14	0	12	38	67	8	1	1	266	383	473	856	207	321	23	13	382	93	—	—	—	—	—	—
2018	27	MLB	Houston Astros	—	250	221	50	13	0	8	23	74	6	0	0	226	316	394	710	167	302	30	9	320	101	+0	+0	+21	+4	+5	3.2
2019	28	MLB	Los Angeles Angels	—	147	132	18	1	0	1	12	49	1	0	0	136	214	167	380	30	202	33	8	183	10	-16	+0	+12	+3	+3	0.2
2020	29	MLB	Los Angeles Angels	—	105	90	25	2	0	7	11	21	1	0	0	278	363	533	896	256	277	20	10	381	143	+5	+0	+4	+2	+2	1.4
2021	30	MLB	Los Angeles Angels	—	319	282	68	11	1	13	28	101	8	0	0	241	327	426	753	184	325	32	9	336	114	+5	+0	+17	+6	+7	3.6
2021	30	AAA	Salt Lake Bees	—	15	13	4	2	0	0	2	5	0	0	0	308	400	462	862	154	500	33	13	385	78	—	—	—	—	—	—
2022	31	MLB	Los Angeles Angels	—	375	333	60	12	1	9	38	112	2	0	0	180	268	303	571	123	239	30	10	262	64	-16	+0	+4	+7	+8	0.2
2024	33	AAA	Charlotte Knights	—	16	11	1	0	0	0	2	4	3	0	0	91	375	91	466		143	25	12	282	37	—	—	—	—	—	—
2025	34	AAA	Sacramento River Cats	—	84	68	18	5	0	1	13	18	3	1	0	265	405	382	787	118	347	21	15	365	78	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1264	1117	238	42	2	41	119	372	18	0	0	213	299	364	663	151	277	29	9	298	88	-18	+0	+59	+42	+27	11.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	19	A MLE	Kane County Cougars	—	465	424	75	16	1	10	32	194	5	3	3	177	243	290	533	113	286	42	7	238	47	—	—	—	—	—	—
2011	20	A+ MLE	Stockton Ports	—	139	126	27	6	0	2	11	29	2	1	1	214	288	310	597	95	261	21	8	260	62	—	—	—	—	—	—
2012	21	A+ MLE	Stockton Ports	—	360	320	76	15	0	13	21	110	8	3	1	237	301	406	707	169	285	31	6	304	92	—	—	—	—	—	—
2013	22	AA MLE	Corpus Christi Hooks	—	323	296	70	17	1	13	12	83	8	1	1	236	285	432	717	196	267	26	4	303	91	—	—	—	—	—	—
2014	23	MLB MLE	Houston Astros	—	20	20	7	2	0	0	0	6	0	0	0	350	350	450	800	100	500	30	0	346	121	+0	+0	+0	+8	+0	1.0
2014	23	AAA MLE	Oklahoma City RedHawks	—	425	398	85	18	1	7	16	134	6	1	0	214	255	317	571	103	296	32	4	249	55	—	—	—	—	—	—
2015	24	MLB MLE	Houston Astros	—	17	15	6	0	0	1	1	5	0	0	0	400	438	600	1.038	200	556	29	6	432	178	+2	+0	-0	+7	+0	0.8
2015	24	AAA MLE	Fresno Grizzlies	—	328	301	52	6	2	9	19	118	3	1	1	173	229	296	525	123	233	36	6	230	42	—	—	—	—	—	—
2016	25	AAA MLE	Fresno Grizzlies	—	266	248	47	9	1	5	15	84	2	1	0	190	242	294	536	105	259	32	6	232	43	—	—	—	—	—	—
2017	26	MLB MLE	Houston Astros	—	31	24	4	1	0	2	6	4	0	0	0	167	333	458	792	292	105	13	19	341	117	+1	+0	+1	+6	+1	0.8
2017	26	AAA MLE	Fresno Grizzlies	—	287	252	55	12	0	9	27	87	8	1	1	218	314	373	687	155	293	30	9	305	93	—	—	—	—	—	—
2018	27	MLB MLE	Houston Astros	—	250	221	49	12	0	8	23	74	6	0	0	222	312	385	697	163	302	30	9	318	101	+0	+0	+21	+4	+5	3.2
2019	28	MLB MLE	Los Angeles Angels	—	147	132	18	1	0	1	12	49	1	0	0	136	214	167	380	30	202	33	8	183	10	-16	+0	+12	+3	+3	0.2
2020	29	MLB MLE	Los Angeles Angels	—	105	90	25	2	0	7	11	21	1	0	0	278	363	533	896	256	277	20	10	379	143	+5	+0	+4	+2	+2	1.4
2021	30	MLB MLE	Los Angeles Angels	—	319	282	68	11	1	13	28	101	8	0	0	241	327	426	753	184	325	32	9	336	114	+5	+0	+17	+6	+7	3.6
2021	30	AAA MLE	Salt Lake Bees	—	15	14	4	2	0	0	1	6	0	0	0	286	333	429	762	143	420	40	7	283	78	—	—	—	—	—	—
2022	31	MLB MLE	Los Angeles Angels	—	375	333	60	12	1	9	38	112	2	0	0	180	268	303	571	123	239	30	10	262	64	-16	+0	+4	+7	+8	0.2
2024	33	AAA MLE	Charlotte Knights	—	16	12	1	0	0	0	1	5	3	0	0	83	312	83	396		121	31	6	223	37	—	—	—	—	—	—
2025	34	AAA MLE	Sacramento River Cats	—	84	73	16	4	0	1	8	21	3	1	0	219	321	315	636	96	293	25	10	283	78	—	—	—	—	—	—
2010	19	A MLE	Kane County Cougars	—	465	424	75	16	1	10	32	194	5	3	3	177	243	290	533	113	291	42	7	238	47	—	—	—	—	—	—
2010	19	A RAW	Kane County Cougars	—	465	411	94	21	1	13	45	141	5	3	3	229	312	380	692	151	312	30	10	310	47	—	—	—	—	—	—
2011	20	A+ MLE	Stockton Ports	—	139	126	27	6	0	2	11	29	2	1	1	214	288	310	597	95	263	21	8	260	62	—	—	—	—	—	—
2011	20	A+ RAW	Stockton Ports	—	139	121	28	6	0	2	16	22	2	1	1	231	331	331	662	99	268	16	12	306	62	—	—	—	—	—	—
2012	21	A+ MLE	2 teams	—	412	368	86	17	0	15	24	126	8	4	1	234	295	402	697	168	298	31	6	304	92	—	—	—	—	—	—
2012	21	A+ RAW	2 teams	—	412	362	97	21	0	16	30	95	8	4	1	268	338	459	796	191	309	23	7	343	92	—	—	—	—	—	—
2013	22	AA MLE	Corpus Christi Hooks	—	323	296	70	17	1	13	12	83	8	1	1	236	285	432	717	196	278	26	4	303	91	—	—	—	—	—	—
2013	22	AA RAW	Corpus Christi Hooks	—	323	289	80	20	1	17	19	68	8	1	1	277	339	529	868	253	301	21	6	371	91	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	445	418	91	19	1	7	16	140	6	1	0	218	257	318	575	100	308	31	4	253	58	—	—	—	—	—	—
2014	23	AAA RAW	2 teams	—	445	412	104	22	2	9	22	109	6	1	0	252	300	381	681	129	321	24	5	302	58	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	372	341	62	6	2	11	21	132	4	1	1	182	238	308	546	126	254	35	6	240	49	—	—	—	—	—	—
2015	24	AAA RAW	3 teams	—	372	334	75	11	2	15	28	107	4	1	1	225	292	404	697	180	279	29	8	305	49	—	—	—	—	—	—
2016	25	AAA MLE	Fresno Grizzlies	—	266	248	47	9	1	5	15	84	2	1	0	190	242	294	536	105	264	32	6	232	43	—	—	—	—	—	—
2016	25	AAA RAW	Fresno Grizzlies	—	266	243	56	12	1	7	20	65	2	1	0	230	294	374	669	144	287	24	8	299	43	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	318	276	59	13	0	11	33	91	8	1	1	214	315	380	696	167	274	29	10	309	95	—	—	—	—	—	—
2017	26	AAA RAW	2 teams	—	318	265	68	15	0	14	44	71	8	1	1	257	379	472	850	215	298	22	14	378	95	—	—	—	—	—	—
2018	27	MLB MLE	Houston Astros	—	250	221	49	12	0	8	23	74	6	0	0	222	312	385	697	163	295	30	9	318	101	+0	+0	+21	+4	+5	3.2
2018	27	MLB RAW	Houston Astros	—	250	221	50	13	0	8	23	74	6	0	0	226	316	394	710	167	302	30	9	320	101	+0	+0	+21	+4	+5	3.2
2019	28	MLB MLE	Los Angeles Angels	—	147	132	18	1	0	1	12	49	1	0	0	136	214	167	380	30	202	33	8	183	10	-16	+0	+12	+3	+3	0.2
2019	28	MLB RAW	Los Angeles Angels	—	147	132	18	1	0	1	12	49	1	0	0	136	214	167	380	30	202	33	8	183	10	-16	+0	+12	+3	+3	0.2
2020	29	MLB MLE	Los Angeles Angels	—	105	90	25	2	0	7	11	21	1	0	0	278	363	533	896	256	277	20	10	379	143	+5	+0	+4	+2	+2	1.4
2020	29	MLB RAW	Los Angeles Angels	—	105	90	25	2	0	7	11	21	1	0	0	278	363	533	896	256	277	20	10	381	143	+5	+0	+4	+2	+2	1.4
2021	30	MLB MLE	2 teams	—	334	296	72	13	1	13	29	107	8	0	0	243	327	426	753	182	333	32	9	334	112	+5	+0	+17	+6	+7	3.6
2021	30	MLB RAW	2 teams	—	334	295	72	13	1	13	30	106	8	0	0	244	330	427	757	183	333	32	9	338	112	+5	+0	+17	+6	+7	3.6
2022	31	MLB MLE	Los Angeles Angels	—	375	333	60	12	1	9	38	112	2	0	0	180	268	303	571	123	239	30	10	262	64	-16	+0	+4	+7	+8	0.2
2022	31	MLB RAW	Los Angeles Angels	—	375	333	60	12	1	9	38	112	2	0	0	180	268	303	571	123	239	30	10	262	64	-16	+0	+4	+7	+8	0.2
2024	33	AAA MLE	Charlotte Knights	—	16	12	1	0	0	0	1	5	3	0	0	83	312	83	396		143	31	6	223	37	—	—	—	—	—	—
2024	33	AAA RAW	Charlotte Knights	—	16	11	1	0	0	0	2	4	3	0	0	91	375	91	466		143	25	12	282	37	—	—	—	—	—	—
2025	34	AAA MLE	Sacramento River Cats	—	84	73	16	4	0	1	8	21	3	1	0	219	321	315	636	96	294	25	10	283	78	—	—	—	—	—	—
2025	34	AAA RAW	Sacramento River Cats	—	84	68	18	5	0	1	13	18	3	1	0	265	405	382	787	118	347	21	15	365	78	—	—	—	—	—	—
2010	19	A MLE	Kane County Cougars	—	465	425	75	16	1	10	32	194	5	3	3	176	243	289	532	113	286	42	7	238	47	—	—	—	—	—	—
2011	20	A+ MLE	Stockton Ports	—	139	125	27	6	0	2	11	29	2	1	1	216	288	312	600	96	261	21	8	260	62	—	—	—	—	—	—
2012	21	A+ MLE	2 teams	—	412	377	86	17	0	15	24	126	8	4	1	228	295	393	688	164	285	31	6	304	92	—	—	—	—	—	—
2013	22	AA MLE	Corpus Christi Hooks	—	323	300	70	17	1	13	12	83	8	1	1	233	285	427	711	193	267	26	4	303	91	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	445	420	91	19	1	7	16	140	6	1	0	217	257	317	573	100	305	31	4	253	58	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	372	344	62	6	2	11	21	132	4	1	1	180	238	305	543	125	249	35	6	240	49	—	—	—	—	—	—
2016	25	AAA MLE	Fresno Grizzlies	—	266	247	47	9	1	5	15	84	2	1	0	190	242	296	537	105	259	32	6	232	43	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	318	274	59	13	0	11	33	91	8	1	1	215	315	383	699	168	275	29	10	309	95	—	—	—	—	—	—
2018	27	MLB MLE	Houston Astros	—	250	219	49	12	0	8	23	74	6	0	0	224	312	388	700	164	302	30	9	318	101	—	—	—	—	—	—
2019	28	MLB MLE	Los Angeles Angels	—	147	133	18	1	0	1	12	49	1	0	0	135	214	165	379	30	202	33	8	183	10	—	—	—	—	—	—
2020	29	MLB MLE	Los Angeles Angels	—	105	92	25	2	0	7	11	21	1	0	0	272	363	522	884	250	277	20	10	379	143	—	—	—	—	—	—
2021	30	MLB MLE	2 teams	—	334	294	72	13	1	13	29	107	8	0	0	245	327	429	756	184	330	32	9	334	112	—	—	—	—	—	—
2022	31	MLB MLE	Los Angeles Angels	—	375	332	60	12	1	9	38	112	2	0	0	181	268	304	572	123	239	30	10	262	64	—	—	—	—	—	—
2024	33	AAA MLE	Charlotte Knights	—	16	12	1	0	0	0	1	5	3	0	0	83	312	83	396		121	31	6	223	37	—	—	—	—	—	—
2025	34	AAA MLE	Sacramento River Cats	—	84	73	16	4	0	1	8	21	3	1	0	219	321	315	636	96	293	25	10	283	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	AAA MLE	Charlotte Knights	—	16	12	1	0	0	0	1	5	3	0	0	83	312	83	396		121	31	6	223	37	—	—	—	—	—	—
2025	34	AAA MLE	Sacramento River Cats	—	84	73	16	4	0	1	8	21	3	1	0	219	321	315	636	96	293	25	10	283	78	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	36	MLB MLE	SF	10%	122	107	21	4	0	3	12	33	2	2	1	207	298	346	645	139	263	27	10	292	84	-2	+0	+0	+2	+3	0.2
▸ 2027 — real world (MLB)
2027	36	MLB CTX	SF	10%	8	7	1	0	0	0	1	2	0	0	0	203	295	335	630	133	259	25	12	286	84	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	37	MLB MLE	SF	1%	80	71	14	3	0	2	8	22	1	1	0	195	286	320	606	125	252	28	10	276	73	-3	+0	-7	+1	+2	-0.6
2028	37	MLB CTX	SF	1%	1	1	0	0	0	0	0	0	0	0	0	192	282	311	593	119	249	0	0	271	73	-0	+0	-0	+0	+0	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1265	1118	238	42	2	41	119	372	18	0	0	213	299	364	663	151	276	29	9	298	73	-18	+0	+59	+42	+27	11.3
/ 162G	—	A+C		—	650	574	123	22	1	21	61	191	9	0	0	214	299	366	665	152	279	29	9	298	73	-9	+0	+30	+22	+14	5.8
Career	—	MLE		—	4211	3796	786	153	8	117	302	1312	69	17	8	207	278	344	622	137	279	31	7	276	73	-22	+1	+52	+45	+31	10.8
/ 162G	—	MLE		—	650	586	121	24	1	18	47	203	11	3	1	206	278	343	621	137	278	31	7	276	73	-10	+0	+24	+20	+14	4.9

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 AAASacramento River Cats · 84 PAwOBA .356 → .283 (−73)K% 21.4% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷1.010	×1.200	—	—	25.45%
BB% (unintentional) /PA	15.48%	÷1.011	×0.690	—	×0.940	9.93%
HBP% /PA	3.57%	—	×0.940	—	×0.940	3.16%
Singles /BIP	24.00%	÷1.030	×0.930	×1.013	×0.940	20.63%
Doubles /BIP	10.00%	÷0.959	×0.830	×1.013	×0.940	8.24%
Triples /BIP	0.00%	÷0.900	×0.970	×1.013	×0.940	0.00%
Home runs /BIP	2.00%	÷0.938	×0.700	—	×0.940	1.40%

Factors used: league row International League. Park (home-season share, regressed): HR 88, 1B 106, 2B 92, 3B 80, K 102, BB 102 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .356 → .283; ISO .118 → .095; BABIP .347 → .293. 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).

2024 AAACharlotte Knights · 16 PAwOBA .277 → .223 (−54)K% 25.0% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.991	×1.200	—	—	30.27%
BB% (unintentional) /PA	12.50%	÷1.025	×0.690	—	×0.942	7.93%
HBP% /PA	18.75%	—	×0.940	—	×0.942	16.60%
Singles /BIP	14.29%	÷1.033	×0.930	—	×0.942	12.11%
Doubles /BIP	0.00%	÷0.994	×0.830	—	×0.942	0.00%
Triples /BIP	0.00%	÷1.049	×0.970	—	×0.942	0.00%
Home runs /BIP	0.00%	÷1.016	×0.700	—	×0.942	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 107, 2B 99, 3B 110, K 98, BB 105 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .277 → .223; ISO .000 → .000; BABIP .143 → .121. 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).

2021 AAASalt Lake Bees · 15 PAwOBA .375 → .283 (−92)K% 33.3% → 40.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.982	×1.200	—	—	40.72%
BB% (unintentional) /PA	13.33%	÷1.090	×0.690	—	×0.972	8.20%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	25.00%	÷1.032	×0.930	—	×0.972	21.90%
Doubles /BIP	25.00%	÷1.002	×0.830	—	×0.972	20.13%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.972	0.00%
Home runs /BIP	0.00%	÷0.907	×0.700	—	×0.972	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 106, 2B 100, 3B 130, K 96, BB 118 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).

Result: wOBA .375 → .283; ISO .154 → .119; BABIP .500 → .420. 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).

2017 AAAFresno Grizzlies · 287 PAwOBA .373 → .305 (−68)K% 23.3% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.34%	÷0.992	×1.290	—	—	30.35%
BB% (unintentional) /PA	13.24%	÷1.028	×0.710	—	×1.018	9.31%
HBP% /PA	2.79%	—	×0.980	—	×1.018	2.78%
Singles /BIP	21.84%	÷0.978	×0.900	×0.999	×1.018	20.44%
Doubles /BIP	8.05%	÷0.926	×0.810	×0.999	×1.018	7.15%
Triples /BIP	0.00%	÷1.150	×0.810	×0.999	×1.018	0.00%
Home runs /BIP	6.90%	÷0.963	×0.780	—	×1.018	5.68%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 85, 3B 130, K 98, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .373 → .305; ISO .207 → .166; BABIP .321 → .293. 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 AAAFresno Grizzlies · 266 PAwOBA .291 → .232 (−59)K% 24.4% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.44%	÷0.996	×1.290	—	—	31.64%
BB% (unintentional) /PA	7.52%	÷1.008	×0.710	—	×1.033	5.47%
HBP% /PA	0.75%	—	×0.980	—	×1.033	0.76%
Singles /BIP	20.22%	÷1.000	×0.900	×1.022	×1.033	19.22%
Doubles /BIP	6.74%	÷1.061	×0.810	×1.022	×1.033	5.43%
Triples /BIP	0.56%	÷1.150	×0.810	×1.022	×1.033	0.42%
Home runs /BIP	3.93%	÷1.040	×0.780	—	×1.033	3.05%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 100, 2B 112, 3B 130, K 99, BB 102 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .291 → .232; ISO .144 → .105; BABIP .287 → .259. 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).

2015 AAAFresno Grizzlies · 328 PAwOBA .287 → .230 (−56)K% 28.4% → 35.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.35%	÷1.020	×1.290	—	—	35.87%
BB% (unintentional) /PA	7.62%	÷0.987	×0.710	—	×1.048	5.75%
HBP% /PA	0.91%	—	×0.980	—	×1.048	0.94%
Singles /BIP	19.40%	÷0.972	×0.900	×0.984	×1.048	18.52%
Doubles /BIP	3.98%	÷1.051	×0.810	×0.984	×1.048	3.16%
Triples /BIP	1.00%	÷1.021	×0.810	×0.984	×1.048	0.81%
Home runs /BIP	6.47%	÷1.060	×0.780	—	×1.048	4.99%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 94, 2B 110, 3B 104, K 104, BB 97 — 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 ×0.984.

Result: wOBA .287 → .230; ISO .173 → .127; BABIP .257 → .233. 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 AAAOklahoma City RedHawks · 425 PAwOBA .291 → .249 (−43)K% 24.2% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.24%	÷0.994	×1.290	—	—	31.47%
BB% (unintentional) /PA	4.94%	÷0.977	×0.710	—	×1.050	3.77%
HBP% /PA	1.41%	—	×0.980	—	×1.050	1.45%
Singles /BIP	22.84%	÷1.018	×0.900	×1.038	×1.050	22.02%
Doubles /BIP	6.92%	÷0.935	×0.810	×1.038	×1.050	6.54%
Triples /BIP	0.69%	÷1.150	×0.810	×1.038	×1.050	0.53%
Home runs /BIP	3.11%	÷1.042	×0.780	—	×1.050	2.45%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 104, 2B 87, 3B 130, K 99, BB 95 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .291 → .249; ISO .130 → .103; BABIP .312 → .296. 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 AACorpus Christi Hooks · 323 PAwOBA .365 → .303 (−62)K% 21.1% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷1.004	×1.220	—	—	25.58%
BB% (unintentional) /PA	5.57%	÷1.117	×0.700	—	×1.042	3.64%
HBP% /PA	2.48%	—	×0.870	—	×1.042	2.25%
Singles /BIP	19.00%	÷1.040	×0.920	×1.014	×1.042	17.76%
Doubles /BIP	9.05%	÷1.067	×0.840	×1.014	×1.042	7.52%
Triples /BIP	0.45%	÷0.900	×0.940	×1.014	×1.042	0.50%
Home runs /BIP	7.69%	÷1.106	×0.800	—	×1.042	5.80%

Factors used: league row TL. Park (home-season share, regressed): HR 121, 1B 108, 2B 113, 3B 80, K 101, BB 123 — 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 ×1.014.

Result: wOBA .365 → .303; ISO .253 → .199; BABIP .301 → .267. 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
#1Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#2Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#4Charlie O'Brien'85-'00 * career totals — 12 seasons, 2,560 PA	3.9	2,560	56	1	214*	295*	358*	+46	+0	5.0	5.6
/162	664	15	0	+11.9	+0.0	1.3	pk7: 6
#5Chris Widger'95-'06 * career totals — 8 seasons, 1,998 PA	3.0	1,998	55	10	227*	283*	381*	+33	-0	3.6	4.1
/162	664	18	3	+11.1	-0.2	1.2	pk7: 5
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	1.8	1,205	38	0	210	293	359	+21	+29	3.3	3.3
/162	664	21	0	+11.8	+16.2	1.8	pk7: 3

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
Max Stassi (OGILVIE)	36	—	56	36	62	205/296/343	138	263	2	2	27%	10%	84	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Treanor 2012 · MLB	36	44	41→40	39→40	56	214/313/306	93	254	10	6	19%	11%	81	-0.1	219/309/339	120	270	12	8	22%	10%	86	+0.3	170/266/275	105	214	9	5	24%	10%	59	-0.3
✕Miguel Ojeda 2011 · AAA	36	47→45	46→45	43→45	51	235/298/365	131	265	14	8	18%	8%	88	+0.4	228/284/331	103	275	10	7	20%	7%	74	-0.5	225/281/317	91	274	8	6	20%	6%	68	-0.7
✕Jonathan Aceves 2013 · AAA	35	43	47→50	42→30	42	220/269/354	135	276	15	6	26%	6%	75	-0.5	211/264/333	122	256	14	4	23%	6%	68	-1.0	228/295/332	104	273	11	1	20%	7%	78	-0.2
✕Miguel Olivo 2014 · MLB	36	42→50	54→60	39→50	38	227/259/398	170	272	24	7	27%	4%	81	-0.1	230/270/370	140	313	16	8	31%	5%	78	-0.3	216/254/339	124	304	13	8	32%	4%	62	-0.7
✕Adam Rosales 2019 · MLB	36	39→49	50→55	42→45	41	206/258/357	151	260	18	5	28%	6%	72	-0.7	198/246/318	120	268	14	6	31%	5%	57	-1.8	161/200/243	83	229	11	2	34%	4%	20	-2.2
✕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
✕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
✕Chris Widger 2006 · MLB	35	48	47→60	39→40	49	239/295/378	139	263	14	5	16%	7%	90	+0.6	225/296/354	129	267	14	7	20%	9%	84	+0.2	167/252/229	62	211	6	0	22%	10%	41	-0.5
✕Mike DiFelice 2006 · MLB	37	40	48→50	42→30	45	210/270/351	141	249	16	5	23%	7%	74	-0.5	214/272/317	103	279	10	4	26%	6%	67	-1.1	208/260/284	76	277	6	0	26%	5%	54	-0.8
✕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
✕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
✕Martín Maldonado 2024 · MLB	37	34→44	52→50	45→40	43	191/261/348	157	245	22	2	32%	8%	71	-0.8	196/252/337	141	269	18	4	33%	6%	64	-1.3	159/206/272	113	220	15	0	35%	5%	33	-0.9
✕Jamie Burke 2008 · MLB	36	49→45	43→45	40→30	46	237/286/347	110	262	10	3	15%	5%	79	-0.2	225/275/317	92	264	8	5	17%	5%	68	-1.0	203/251/265	62	245	4	1	18%	5%	46	-0.6
✕Hernando Arredondo 2013 · AAA	36	49→53	48→50	42→50	42	249/279/385	136	277	16	8	18%	4%	84	+0.2	231/265/356	125	267	14	5	19%	4%	73	-0.6	225/265/311	86	270	10	2	20%	4%	59	-0.5
✕Iker Franco 2017 · AAA	36	51→47	41→50	43→40	47	245/299/336	91	296	9	4	20%	7%	80	-0.1	221/273/327	106	279	12	7	24%	6%	70	-0.9	156/195/247	91	190	13	0	26%	5%	19	-0.9
✕Cody Ransom 2011 · MLB	35	40→39	51→55	48→50	43	212/270/375	162	264	19	8	28%	7%	80	-0.2	216/286/399	183	290	23	8	32%	8%	92	+0.7	206/286/402	196	277	25	6	34%	9%	92	+0.4
✕Curt Casali 2024 · MLB	35	43	43→50	47→30	51	211/304/320	109	285	11	4	28%	10%	81	-0.1	233/322/344	111	290	10	6	22%	10%	93	+0.8	235/335/321	87	290	7	0	19%	11%	92	+0.3
✕Edgard Clemente 2012 · AAA	36	49	49→50	44→40	47	249/308/400	151	296	17	7	22%	7%	99	+1.3	238/299/389	151	308	17	12	27%	7%	94	+0.9	225/287/381	156	284	20	9	28%	6%	84	+0.0
✕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
✕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

Max Stassi

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps