Eric Haase

C San Francisco Giants

Age 34 R/R 5'10" / 201 lbs MLB HR -15%H -3% Svc 4.430 · Ctrl thru 2028

Overview

MLBArb-2FA 2029

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	31	AAAMIL	170	.279/.369/.503	9	1	82	—	.221/.286/.370
2024	31	MLBMIL	69	.273/.304/.515	5	0	124	0.8
2025	32	AAAMIL	77	.203/.320/.312	1	0	44	—	.191/.267/.294
2025	32	MLBMIL	77	.229/.289/.357	2	0	83	0.5
2026	33	AAACWS	70	.295/.377/.508	3	0	83	—	.238/.304/.381
2026	33	MLBSF	84	.162/.235/.365	4	0	66	0.1
2027PROJ	34	MLBSF	120	.209/.278/.378	5	1	89	0.3
2028PROJ82% MLB	35	MLBSF	66	.198/.266/.355	2	0	79	-0.4

Last 3 seasons WAR 1.4 · Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2028Service4.430First FA2029

2027Arb-2$0.9M2028Arb-3$0.9M

Skills · percentileStatcast 2024-2026

Barrel%84

Speed71

Bat Spd50

xwOBA28

Avg EV12

CompsCody Ransom (age 34) · Dustin Garneau (age 34) · Taylor Motter (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 9289vR 80

AVG/OBP/SLG.209 / .278 / .378

PA120

HR5

K%30

BB%8

BABIP264

ISO174

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · Splits · ContractCON 27 / POW 64

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT27

xAVG

100.203

POWER64

Barrel%

8413.3

Avg EV

1286.2

Bat Spd

5071.3

EYE73

scouting grade only

SPEED63

Sprint

7128.3

Platoon Splits2024-2025 · 146 PA

vs LHP

vs RHP

Edge

—

wRC+

109

101

◀L

wOBA

329

317

◀L

ISO

271

142

◀◀L

BABIP

269

449

▶▶R

37.5%

41.8%

◀L

BB%

6.3%

4.1%

◀◀L

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

Status Arb-2

MLB Debut 2018

Service 4.430 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-2	$0.9M	+0.3	$1M	+$0.3M
2028	Arb-3	$0.9M	—	—	—
Totals		$0.9M		$-0.3M	+$0.3M

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)
2012	19	ROK	AZL Indians	—	109	103	29	11	2	3	5	29	0	1	0	282	315	515	829	233	361	27	5	356	45	—	—	—	—	—	—
2013	20	A	Lake County Captains	—	420	376	94	23	3	14	40	117	1	2	2	250	324	439	763	189	324	28	10	336	57	—	—	—	—	—	—
2014	21	A+	Carolina Mudcats	—	70	65	12	4	0	1	5	19	0	0	1	185	243	292	535	108	244	27	7	243	9	—	—	—	—	—	—
2014	21	A	Lake County Captains	—	328	296	80	16	4	16	28	84	3	1	2	270	339	514	853	243	325	26	9	372	66	—	—	—	—	—	—
2015	22	A+	Lynchburg Hillcats	—	370	320	79	26	7	9	36	114	11	3	2	247	343	456	800	209	352	31	10	352	53	—	—	—	—	—	—
2016	23	AA	Akron RubberDucks	—	246	226	47	14	1	12	17	75	1	0	2	208	266	438	704	230	250	30	7	306	46	—	—	—	—	—	—
2016	23	INTL	Mesa Solar Sox	—	19	18	5	3	0	0	1	5	0	0	0	278	316	444	760	167	385	26	5	335	113	—	—	—	—	—	—
2017	24	AA	Akron RubberDucks	—	381	333	86	17	5	26	44	116	3	4	2	258	350	574	924	315	312	30	12	397	85	—	—	—	—	—	—
2018	25	MLB	Cleveland Indians	—	17	16	2	0	0	0	0	6	1	0	0	125	176	125	301		200	35	0	150	-13	-2	+0	-0	+9	+0	0.7
2018	25	AAA	Columbus Clippers	—	477	433	102	24	3	20	31	143	4	3	1	236	293	443	736	208	296	30	6	318	62	—	—	—	—	—	—
2019	26	MLB	Cleveland Indians	—	17	16	1	0	0	1	1	8	0	0	0	62	118	250	368	188		47	6	163	-3	-2	+0	-0	+7	+0	0.6
2019	26	AAA	Columbus Clippers	—	401	350	79	12	3	28	42	142	5	1	1	226	317	517	835	291	279	35	10	359	75	—	—	—	—	—	—
2020	27	MLB	Detroit Tigers	—	19	17	3	0	0	0	1	6	0	0	0	176	222	176	399		250	32	5	180	9	-2	+0	+0	+0	+0	-0.1
2021	28	MLB	Detroit Tigers	—	381	351	81	12	1	22	26	119	2	2	0	231	288	459	746	228	278	31	7	326	112	+5	+0	-1	+7	+8	2.0
2021	28	AAA	Toledo Mud Hens	—	28	23	8	3	0	1	5	10	0	1	0	348	464	609	1.073	261	583	36	18	466	120	—	—	—	—	—	—
2022	29	MLB	Detroit Tigers	—	351	323	82	17	1	14	24	97	1	0	0	254	307	443	750	189	316	28	7	329	112	+5	+0	-3	+6	+8	1.6
2023	30	MLB	Cleveland Guardians	—	293	274	55	8	1	4	17	81	0	4	1	201	247	281	528	80	268	28	6	239	47	-19	+0	+1	+6	+6	-0.6
2023	30	AAA	Columbus Clippers	—	30	26	4	0	0	1	3	8	0	0	0	154	241	269	511	115	167	27	10	230	8	—	—	—	—	—	—
2024	31	MLB	Milwaukee Brewers	—	69	66	18	1	0	5	3	28	0	0	0	273	304	515	819	242	394	41	4	357	124	+2	+0	+0	+4	+1	0.8
2024	31	AAA	Nashville Sounds	—	170	147	41	6	0	9	19	56	2	1	1	279	369	503	872	224	386	33	11	381	82	—	—	—	—	—	—
2025	32	MLB	Milwaukee Brewers	—	77	70	16	3	0	2	4	31	2	0	0	229	289	357	647	129	378	40	5	289	83	-2	+0	+2	+3	+2	0.5
2025	32	AAA	Nashville Sounds	—	77	64	13	4	0	1	11	20	0	0	0	203	320	312	633	109	267	26	14	287	44	—	—	—	—	—	—
2026	33	MLB	San Francisco Giants	—	84	74	12	3	0	4	6	28	1	0	0	162	235	365	599	203	190	33	7	257	66	-3	+0	+0	+3	+2	0.1
2026	33	AAA	Charlotte Knights	—	70	61	18	4	0	3	7	18	1	0	1	295	377	508	885	213	366	26	10	385	83	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1308	1207	270	44	3	52	82	404	7	6	1	224	277	394	671	171	288	31	6	296	86	-21	+1	-2	+46	+28	5.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	19	ROK MLE	AZL Indians	—	109	105	19	7	1	2	3	42	0	1	0	181	204	324	528	143	281	39	3	234	45	—	—	—	—	—	—
2013	20	A MLE	Lake County Captains	—	420	386	73	17	3	11	30	159	1	2	2	189	249	334	584	145	282	38	7	252	57	—	—	—	—	—	—
2014	21	A+ MLE	Carolina Mudcats	—	70	67	10	3	0	1	3	28	0	0	1	149	186	239	425	90	228	40	4	181	9	—	—	—	—	—	—
2014	21	A MLE	Lake County Captains	—	328	305	60	12	3	11	19	116	3	1	2	197	251	364	615	167	271	35	6	266	66	—	—	—	—	—	—
2015	22	A+ MLE	Lynchburg Hillcats	—	370	334	58	18	5	6	22	157	11	3	2	174	248	311	559	138	294	42	6	246	53	—	—	—	—	—	—
2016	23	AA MLE	Akron RubberDucks	—	246	230	38	11	1	9	13	92	1	0	2	165	213	339	552	174	219	37	5	236	46	—	—	—	—	—	—
2017	24	AA MLE	Akron RubberDucks	—	381	348	69	12	4	19	29	143	3	4	2	198	266	420	685	221	268	38	8	294	85	—	—	—	—	—	—
2018	25	MLB MLE	Cleveland Indians	—	17	16	2	0	0	0	0	6	1	0	0	125	176	125	301		200	35	0	149	-13	-2	+0	-0	+9	+0	0.7
2018	25	AAA MLE	Columbus Clippers	—	477	442	89	20	3	15	22	169	4	3	1	201	246	362	608	161	269	35	5	260	62	—	—	—	—	—	—
2019	26	MLB MLE	Cleveland Indians	—	17	16	1	0	0	1	1	8	0	0	0	62	118	250	368	188		47	6	164	-3	-2	+0	-0	+7	+0	0.6
2019	26	AAA MLE	Columbus Clippers	—	401	365	66	9	3	23	27	172	5	1	1	181	247	411	658	230	243	43	7	279	75	—	—	—	—	—	—
2020	27	MLB MLE	Detroit Tigers	—	19	17	3	0	0	0	1	6	0	0	0	176	222	176	399		250	32	5	181	9	-2	+0	+0	+0	+0	-0.1
2021	28	MLB MLE	Detroit Tigers	—	381	351	83	12	1	23	26	119	2	2	0	236	293	473	766	236	278	31	7	333	112	+5	+0	-1	+7	+8	2.0
2021	28	AAA MLE	Toledo Mud Hens	—	28	25	7	2	0	1	3	12	0	1	0	280	357	480	837	200	494	43	11	345	120	—	—	—	—	—	—
2022	29	MLB MLE	Detroit Tigers	—	351	324	84	17	1	15	23	97	1	0	0	259	310	457	767	198	316	28	7	333	112	+5	+0	-3	+6	+8	1.6
2023	30	MLB MLE	Cleveland Guardians	—	293	275	55	8	1	4	16	81	0	4	1	200	244	280	524	80	268	28	5	237	47	-19	+0	+1	+6	+6	-0.6
2023	30	AAA MLE	Columbus Clippers	—	30	27	4	0	0	1	2	10	0	0	0	148	207	259	466	111	152	33	7	180	8	—	—	—	—	—	—
2024	31	MLB MLE	Milwaukee Brewers	—	69	66	18	1	0	5	3	28	0	0	0	273	304	515	819	242	394	41	4	352	124	+2	+0	+0	+4	+1	0.8
2024	31	AAA MLE	Nashville Sounds	—	170	154	34	5	0	6	12	68	2	1	1	221	286	370	656	149	341	40	7	289	82	—	—	—	—	—	—
2025	32	MLB MLE	Milwaukee Brewers	—	77	70	16	3	0	2	4	31	2	0	0	229	289	357	647	129	378	40	5	290	83	-2	+0	+2	+3	+2	0.5
2025	32	AAA MLE	Nashville Sounds	—	77	68	13	4	0	1	7	24	0	0	0	191	267	294	561	103	239	31	9	233	44	—	—	—	—	—	—
2026	33	MLB MLE	San Francisco Giants	—	84	74	12	3	0	4	6	28	1	0	0	162	235	365	599	203	190	33	7	266	66	-3	+0	+0	+3	+2	0.1
2026	33	AAA MLE	Charlotte Knights	—	70	63	15	3	0	2	5	22	1	0	1	238	304	381	685	143	303	31	7	291	83	—	—	—	—	—	—
2012	19	ROK MLE	AZL Indians	—	109	105	19	7	1	2	3	42	0	1	0	181	204	324	528	143	274	39	3	234	45	—	—	—	—	—	—
2012	19	ROK RAW	AZL Indians	—	109	103	29	11	2	3	5	29	0	1	0	282	315	515	829	233	361	27	5	356	45	—	—	—	—	—	—
2013	20	A MLE	Lake County Captains	—	420	386	73	17	3	11	30	159	1	2	2	189	249	334	584	145	284	38	7	252	57	—	—	—	—	—	—
2013	20	A RAW	Lake County Captains	—	420	376	94	23	3	14	40	117	1	2	2	250	324	439	763	189	324	28	10	336	57	—	—	—	—	—	—
2014	21	A MLE	2 teams	—	398	372	70	15	3	12	22	144	3	1	3	188	239	341	581	153	267	36	6	251	56	—	—	—	—	—	—
2014	21	A RAW	2 teams	—	398	361	92	20	4	17	33	103	3	1	3	255	322	474	796	219	310	26	8	349	56	—	—	—	—	—	—
2015	22	A+ MLE	Lynchburg Hillcats	—	370	334	58	18	5	6	22	157	11	3	2	174	248	311	559	138	301	42	6	246	53	—	—	—	—	—	—
2015	22	A+ RAW	Lynchburg Hillcats	—	370	320	79	26	7	9	36	114	11	3	2	247	343	456	800	209	352	31	10	352	53	—	—	—	—	—	—
2016	23	AA MLE	2 teams	—	265	248	42	12	1	10	14	99	1	0	2	169	217	347	564	177	229	37	5	236	46	—	—	—	—	—	—
2016	23	AA RAW	2 teams	—	265	244	52	17	1	12	18	80	1	0	2	213	270	439	708	225	261	30	7	308	46	—	—	—	—	—	—
2017	24	AA MLE	Akron RubberDucks	—	381	348	69	12	4	19	29	143	3	4	2	198	266	420	685	221	267	38	8	294	85	—	—	—	—	—	—
2017	24	AA RAW	Akron RubberDucks	—	381	333	86	17	5	26	44	116	3	4	2	258	350	574	924	315	312	30	12	397	85	—	—	—	—	—	—
2018	25	AAA MLE	2 teams	—	494	458	91	20	3	15	22	175	5	3	1	199	243	354	597	155	276	35	4	256	60	—	—	—	—	—	—
2018	25	AAA RAW	2 teams	—	494	449	104	24	3	20	31	149	5	3	1	232	289	432	721	200	293	30	6	312	60	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	418	381	67	9	3	24	28	180	5	1	1	176	242	404	646	228	239	43	7	274	72	—	—	—	—	—	—
2019	26	AAA RAW	2 teams	—	418	366	80	12	3	29	43	150	5	1	1	219	309	505	815	287	268	36	10	351	72	—	—	—	—	—	—
2020	27	MLB MLE	Detroit Tigers	—	19	17	3	0	0	0	1	6	0	0	0	176	222	176	399		250	32	5	181	9	-2	+0	+0	+0	+0	-0.1
2020	27	MLB RAW	Detroit Tigers	—	19	17	3	0	0	0	1	6	0	0	0	176	222	176	399		250	32	5	180	9	-2	+0	+0	+0	+0	-0.1
2021	28	MLB MLE	2 teams	—	409	376	90	15	1	24	29	131	2	3	0	239	297	476	773	237	296	32	7	334	112	+6	+1	-1	+7	+9	2.2
2021	28	MLB RAW	2 teams	—	409	374	89	15	1	23	31	129	2	3	0	238	300	468	768	230	295	32	8	335	112	+6	+1	-1	+7	+9	2.2
2022	29	MLB MLE	Detroit Tigers	—	351	324	84	17	1	15	23	97	1	0	0	259	310	457	767	198	321	28	7	333	112	+5	+0	-3	+6	+8	1.6
2022	29	MLB RAW	Detroit Tigers	—	351	323	82	17	1	14	24	97	1	0	0	254	307	443	750	189	316	28	7	329	112	+5	+0	-3	+6	+8	1.6
2023	30	MLB MLE	2 teams	—	323	302	59	8	1	5	18	91	0	4	1	195	241	278	519	83	260	28	6	232	43	-22	+0	+1	+6	+7	-0.8
2023	30	MLB RAW	2 teams	—	323	300	59	8	1	5	20	89	0	4	1	197	247	280	527	83	260	28	6	238	43	-22	+0	+1	+6	+7	-0.8
2024	31	AAA MLE	2 teams	—	239	220	53	6	0	11	15	96	2	1	1	241	295	418	714	177	368	40	6	307	94	—	—	—	—	—	—
2024	31	AAA RAW	2 teams	—	239	213	59	7	0	14	22	84	2	1	1	277	350	507	857	230	388	35	9	374	94	—	—	—	—	—	—
2025	32	MLB MLE	2 teams	—	154	138	29	7	0	3	11	55	2	0	0	210	278	326	604	116	317	36	7	262	63	-7	+0	+2	+3	+3	0.1
2025	32	MLB RAW	2 teams	—	154	134	29	7	0	3	15	51	2	0	0	216	305	336	640	119	317	33	10	288	63	-7	+0	+2	+3	+3	0.1
2026	33	MLB MLE	2 teams	—	154	137	27	6	0	6	11	50	2	0	1	197	267	372	639	175	256	32	7	277	74	-5	-0	+0	+3	+3	0.1
2026	33	MLB RAW	2 teams	—	154	135	30	7	0	7	13	46	2	0	1	222	300	430	730	207	277	30	8	315	74	-5	-0	+0	+3	+3	0.1
2012	19	ROK MLE	AZL Indians	—	109	105	19	7	1	2	3	42	0	1	0	181	204	324	528	143	281	39	3	234	45	—	—	—	—	—	—
2013	20	A MLE	Lake County Captains	—	420	386	73	17	3	11	30	159	1	2	2	189	249	334	584	145	282	38	7	252	57	—	—	—	—	—	—
2014	21	A MLE	2 teams	—	398	370	70	15	3	12	22	144	3	1	3	189	239	343	583	154	263	36	6	251	56	—	—	—	—	—	—
2015	22	A+ MLE	Lynchburg Hillcats	—	370	334	58	18	5	6	22	157	11	3	2	174	248	311	559	138	294	42	6	246	53	—	—	—	—	—	—
2016	23	AA MLE	2 teams	—	265	248	42	12	1	10	14	99	1	0	2	169	217	347	564	177	219	37	5	236	46	—	—	—	—	—	—
2017	24	AA MLE	Akron RubberDucks	—	381	346	69	12	4	19	29	143	3	4	2	199	266	422	688	223	268	38	8	294	85	—	—	—	—	—	—
2018	25	AAA MLE	2 teams	—	494	464	91	20	3	15	22	175	5	3	1	196	243	349	592	153	267	35	4	256	60	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	418	382	67	9	3	24	28	180	5	1	1	175	242	403	645	228	233	43	7	274	72	—	—	—	—	—	—
2020	27	MLB MLE	Detroit Tigers	—	19	18	3	0	0	0	1	6	0	0	0	167	222	167	389		250	32	5	181	9	—	—	—	—	—	—
2021	28	MLB MLE	2 teams	—	409	375	90	15	1	24	29	131	2	3	0	240	297	477	775	237	293	32	7	334	112	—	—	—	—	—	—
2022	29	MLB MLE	Detroit Tigers	—	351	324	84	17	1	15	23	97	1	0	0	259	310	457	767	198	316	28	7	333	112	—	—	—	—	—	—
2023	30	MLB MLE	2 teams	—	323	302	59	8	1	5	18	91	0	4	1	195	241	278	519	83	258	28	6	232	43	—	—	—	—	—	—
2024	31	AAA MLE	2 teams	—	239	220	53	6	0	11	15	96	2	1	1	241	295	418	714	177	356	40	6	307	94	—	—	—	—	—	—
2025	32	MLB MLE	2 teams	—	154	140	29	7	0	3	11	55	2	0	0	207	278	321	600	114	309	36	7	262	63	—	—	—	—	—	—
2026	33	MLB MLE	2 teams	—	154	140	27	6	0	6	11	50	2	0	1	193	267	364	631	171	242	32	7	277	74	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	31	AAA MLE	2 teams	—	239	220	53	6	0	11	15	96	2	1	1	241	295	418	714	177	356	40	6	307	94	—	—	—	—	—	—
2025	32	MLB MLE	2 teams	—	154	140	29	7	0	3	11	55	2	0	0	207	278	321	600	114	309	36	7	262	63	—	—	—	—	—	—
2026	33	MLB MLE	2 teams	—	154	140	27	6	0	6	11	50	2	0	1	193	267	364	631	171	242	32	7	277	74	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	34	MLB MLE	SF	100%	194	175	37	7	0	8	15	59	2	2	0	214	282	393	676	180	268	30	8	299	89	-3	+0	-1	+3	+4	0.3
▸ 2027 — real world (MLB)
2027	34	MLB CTX	SF	100%	120	109	23	4	0	5	9	36	1	1	0	209	278	378	656	169	264	30	8	291	89	-2	+0	-0	+2	+3	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	35	MLB MLE	SF	82%	80	73	14	2	0	3	6	25	1	0	0	203	270	369	640	166	258	31	8	284	79	-2	+0	-6	+1	+2	-0.5
2028	35	MLB CTX	SF	82%	66	60	11	2	0	2	5	21	1	0	0	198	266	355	621	157	253	32	8	277	79	-2	+0	-5	+1	+1	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1374	1267	281	46	3	54	87	425	8	6	1	222	276	391	667	169	286	31	6	295	71	-23	+1	-7	+47	+30	4.9
/ 162G	—	A+C		—	650	599	133	22	1	26	41	201	4	3	0	222	276	392	668	170	285	31	6	295	71	-11	+0	-3	+22	+14	2.3
Career	—	MLE		—	4704	4328	871	175	26	171	293	1686	40	24	16	201	258	372	631	171	280	36	6	273	71	-25	+1	-8	+49	+33	5.1
/ 162G	—	MLE		—	650	598	121	24	4	24	40	233	6	3	2	202	259	376	636	174	281	36	6	273	71	-11	+0	-4	+21	+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.

2026 AAACharlotte Knights · 70 PAwOBA .380 → .291 (−89)K% 25.7% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.71%	÷1.000	×1.200	—	—	30.86%
BB% (unintentional) /PA	10.00%	÷1.000	×0.690	—	×0.940	6.49%
HBP% /PA	1.43%	—	×0.940	—	×0.940	1.26%
Singles /BIP	25.58%	÷1.000	×0.930	—	×0.940	22.36%
Doubles /BIP	9.30%	÷1.000	×0.830	—	×0.940	7.26%
Triples /BIP	0.00%	÷1.000	×0.970	—	×0.940	0.00%
Home runs /BIP	6.98%	÷1.000	×0.700	—	×0.940	4.59%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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).

Result: wOBA .380 → .291; ISO .213 → .148; BABIP .366 → .303. 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).

2025 AAANashville Sounds · 77 PAwOBA .288 → .233 (−56)K% 26.0% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.97%	÷1.010	×1.200	—	—	30.84%
BB% (unintentional) /PA	14.29%	÷1.000	×0.690	—	×0.942	9.29%
HBP% /PA	0.00%	—	×0.940	—	×0.942	0.00%
Singles /BIP	18.18%	÷0.983	×0.930	×1.046	×0.942	16.95%
Doubles /BIP	9.09%	÷0.973	×0.830	×1.046	×0.942	7.64%
Triples /BIP	0.00%	÷0.900	×0.970	×1.046	×0.942	0.00%
Home runs /BIP	2.27%	÷1.111	×0.700	—	×0.942	1.35%

Factors used: league row International League. Park (home-season share, regressed): HR 122, 1B 97, 2B 95, 3B 80, K 102, BB 100 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.

Result: wOBA .288 → .233; ISO .109 → .084; BABIP .267 → .239. 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 AAANashville Sounds · 170 PAwOBA .372 → .289 (−84)K% 32.9% → 40.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.94%	÷0.983	×1.200	—	—	40.22%
BB% (unintentional) /PA	11.18%	÷1.014	×0.690	—	×0.952	7.24%
HBP% /PA	1.18%	—	×0.940	—	×0.952	1.05%
Singles /BIP	28.57%	÷0.951	×0.930	×1.008	×0.952	26.79%
Doubles /BIP	6.59%	÷1.010	×0.830	×1.008	×0.952	5.20%
Triples /BIP	0.00%	÷1.150	×0.970	×1.008	×0.952	0.00%
Home runs /BIP	9.89%	÷0.909	×0.700	—	×0.952	7.25%

Factors used: league row International League. Park (home-season share, regressed): HR 82, 1B 90, 2B 102, 3B 130, K 97, BB 103 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .372 → .289; ISO .224 → .160; BABIP .386 → .341. 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).

2023 AAAColumbus Clippers · 30 PAwOBA .232 → .180 (−51)K% 26.7% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷1.008	×1.200	—	—	31.76%
BB% (unintentional) /PA	10.00%	÷0.994	×0.690	—	×0.962	6.67%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	16.67%	÷0.963	×0.930	—	×0.962	15.49%
Doubles /BIP	0.00%	÷1.018	×0.830	—	×0.962	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.962	0.00%
Home runs /BIP	5.56%	÷1.037	×0.700	—	×0.962	3.61%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 93, 2B 104, 3B 80, K 102, BB 99 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .232 → .180; ISO .115 → .077; BABIP .167 → .152. 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 AAAToledo Mud Hens · 28 PAwOBA .454 → .345 (−109)K% 35.7% → 42.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.71%	÷1.000	×1.200	—	—	42.87%
BB% (unintentional) /PA	17.86%	÷1.038	×0.690	—	×0.982	11.66%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	30.77%	÷0.991	×0.930	—	×0.982	28.36%
Doubles /BIP	23.08%	÷1.013	×0.830	—	×0.982	18.56%
Triples /BIP	0.00%	÷0.981	×0.920	—	×0.982	0.00%
Home runs /BIP	7.69%	÷1.052	×0.700	—	×0.982	5.03%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 98, 2B 103, 3B 96, K 100, BB 108 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .454 → .345; ISO .261 → .186; BABIP .583 → .494. 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).

2019 AAAColumbus Clippers · 401 PAwOBA .352 → .279 (−73)K% 35.4% → 42.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.41%	÷0.993	×1.200	—	—	42.80%
BB% (unintentional) /PA	10.47%	÷1.089	×0.690	—	×1.003	6.65%
HBP% /PA	1.25%	—	×0.940	—	×1.003	1.18%
Singles /BIP	17.31%	÷0.970	×0.930	×0.950	×1.003	15.82%
Doubles /BIP	5.77%	÷0.995	×0.830	×0.950	×1.003	4.59%
Triples /BIP	1.44%	÷0.900	×0.970	×0.950	×1.003	1.48%
Home runs /BIP	13.46%	÷0.985	×0.840	—	×1.003	11.52%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 94, 2B 99, 3B 80, K 99, BB 118 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .352 → .279; ISO .291 → .238; BABIP .279 → .243. 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).

2018 AAAColumbus Clippers · 477 PAwOBA .314 → .260 (−54)K% 30.0% → 35.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.98%	÷1.017	×1.200	—	—	35.38%
BB% (unintentional) /PA	6.50%	÷0.972	×0.690	—	×1.018	4.70%
HBP% /PA	0.84%	—	×0.940	—	×1.018	0.80%
Singles /BIP	18.97%	÷0.974	×0.930	×0.976	×1.018	17.99%
Doubles /BIP	8.28%	÷0.958	×0.830	×0.976	×1.018	7.12%
Triples /BIP	1.03%	÷0.900	×0.970	×0.976	×1.018	1.11%
Home runs /BIP	6.90%	÷1.135	×0.840	—	×1.018	5.20%

Factors used: league row IL. Park (home-season share, regressed): HR 127, 1B 95, 2B 92, 3B 80, K 103, BB 94 — 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 ×0.976.

Result: wOBA .314 → .260; ISO .208 → .162; BABIP .296 → .269. 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 AAAkron RubberDucks · 381 PAwOBA .387 → .294 (−93)K% 30.4% → 37.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.45%	÷0.990	×1.220	—	—	37.52%
BB% (unintentional) /PA	11.55%	÷1.052	×0.700	—	×0.998	7.67%
HBP% /PA	0.79%	—	×0.850	—	×0.998	0.67%
Singles /BIP	17.51%	÷0.978	×0.970	×0.958	×0.998	16.62%
Doubles /BIP	7.83%	÷1.072	×0.860	×0.958	×0.998	6.01%
Triples /BIP	2.30%	÷1.150	×0.950	×0.958	×0.998	1.82%
Home runs /BIP	11.98%	÷1.008	×0.780	—	×0.998	9.25%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 96, 2B 114, 3B 130, K 98, BB 110 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .387 → .294; ISO .315 → .232; BABIP .312 → .268. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Stephen Vogtlast yr '22 career totals — 9 seasons, 2,571 PA	3.9	2,571	82	5	241	303	410	+36	-11	9.3	9.4
/162	664	21	1	+9.2	-2.8	2.4	pk7: 9
#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
#3Devin Mesoracolast yr '18 career totals — 8 seasons, 1,574 PA	2.4	1,574	58	4	232	309	406	+28	-13	6.0	6.2
/162	664	24	2	+11.9	-5.3	2.5	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	2.2	1,441	58	7	227	278	402	+23	-1	4.7	5.0
/162	664	27	3	+10.8	-0.6	2.2	pk7: 5
#4Barry Foote'73-'82 * career totals — 9 seasons, 2,300 PA	3.5	2,300	57	10	225*	274*	401*	+40	-0	4.0	4.9
/162	664	16	3	+11.6	-0.1	1.2	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
#6Brian Johnson'94-'01 * career totals — 7 seasons, 1,539 PA	2.3	1,539	49	1	237*	279*	395*	+26	-0	3.5	3.7
/162	664	21	0	+11.1	-0.2	1.5	pk7: 4

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
Eric Haase (OGILVIE)	34	27	64	63	73	212/280/390	178	268	5	1	30%	7%	89	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cody Ransom 2010 · MLB	34	39	51→55	49→50	45	208/273/373	166	259	19	11	28%	8%	81	-0.1	215/278/388	173	280	21	8	30%	7%	86	+0.3	206/286/402	196	277	25	6	34%	9%	92	+0.4
✕Dustin Garneau 2022 · MLB	34	36→38	56→50	47→45	44	203/278/395	192	255	24	5	31%	8%	88	+0.5	196/273/342	146	258	17	7	30%	7%	74	-0.5	133/224/239	106	174	13	2	31%	7%	32	-1.2
✕Taylor Motter 2023 · MLB	33	40→49	54→50	49→55	51	216/293/397	181	254	23	4	25%	10%	94	+0.9	208/272/342	134	281	15	11	30%	8%	73	-0.6	181/242/282	101	257	10	13	32%	7%	45	-1.4
✕Mike Coolbaugh 2006 · AAA	34	41→39	52→55	53→50	41	218/266/379	160	262	21	10	26%	6%	79	-0.2	211/277/349	138	265	16	9	26%	7%	77	-0.3	171/258/278	106	213	13	4	26%	9%	52	-1.0
✕Curt Casali 2023 · MLB	34	44	49→50	48→30	52	219/317/366	147	293	17	4	29%	11%	96	+1.0	223/315/328	105	288	10	4	24%	10%	86	+0.3	214/312/278	65	277	4	0	22%	10%	74	-0.2
✕Carlos Pérez 2024 · MLB	33	38→48	53→55	46→45	46	209/273/378	169	228	23	2	21%	7%	82	+0.0	209/273/380	171	232	21	3	21%	7%	82	+0.0	196/260/370	174	213	22	1	21%	7%	73	-0.4
✕George Arias 2006 · AAA	34	45→44	54→55	49→40	49	236/288/409	173	247	22	6	16%	7%	95	+0.9	227/284/393	166	238	21	6	15%	7%	89	+0.5	207/266/373	166	203	23	1	13%	6%	78	-0.2
✕Ramon Castro 2010 · MLB	34	45	58→55	46→40	49	244/306/444	200	273	27	4	22%	8%	109	+2.0	247/311/445	198	288	27	6	24%	8%	112	+2.2	252/309/461	209	269	36	4	22%	8%	115	+0.6
✕Sal Fasano 2006 · MLB	34	45	62→55	47→40	42	249/307/466	218	287	33	5	26%	6%	116	+2.5	222/280/378	156	281	19	4	28%	4%	85	+0.2	200/259/329	129	263	15	1	29%	3%	65	-0.4
✕Anthony Recker 2017 · MLB	33	40→48	49→50	48→45	47	208/286/351	143	274	17	5	30%	9%	81	-0.1	204/267/343	139	278	15	5	31%	7%	72	-0.7	182/239/318	136	247	15	1	32%	6%	53	-0.9
✕Ryan Lavarnway 2022 · MLB	34	42→46	51→55	47→30	41	219/273/373	154	283	20	5	30%	6%	80	-0.1	212/281/344	132	276	15	5	28%	8%	77	-0.3	183/264/297	115	232	13	0	26%	8%	58	-0.9
✕Adam Rosales 2017 · MLB	34	46→50	53→55	50→45	47	233/305/413	180	304	21	11	30%	9%	102	+1.5	208/259/353	145	275	17	6	30%	6%	71	-0.8	187/231/306	120	245	15	3	30%	4%	48	-1.4
✕Mark Little 2006 · MLB	34	42	51→55	52→55	40	219/289/380	161	284	19	19	30%	6%	89	+0.5	226/308/346	120	311	11	15	29%	7%	88	+0.5	221/318/307	86	323	4	13	29%	6%	80	-0.1
✕Trayce Thompson 2024 · MLB	33	42→49	57→60	49→50	45	217/303/416	200	313	26	8	37%	10%	102	+1.5	188/254/334	146	272	18	12	36%	8%	65	-1.2	164/225/296	132	232	16	12	36%	7%	44	-1.9
✕Sean Rodríguez 2019 · MLB	34	40→50	53→60	47→50	48	210/300/379	170	280	22	6	32%	10%	93	+0.8	224/314/391	167	309	20	8	32%	10%	101	+1.4	208/313/386	178	292	22	3	34%	11%	99	+0.4
✕Tom Murphy 2023 · MLB	32	46→38	51→65	47→45	54	232/329/390	158	309	20	4	30%	12%	105	+1.7	251/320/444	193	324	23	6	28%	9%	114	+2.4	287/337/536	249	358	31	0	28%	6%	143	+1.2
✕Adam Hyzdu 2005 · MLB	33	47→41	54→50	48→45	53	241/329/423	182	294	22	7	25%	11%	113	+2.3	216/293/360	144	274	17	7	26%	10%	85	+0.2	203/282/341	139	253	16	5	26%	10%	76	-0.4
✕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
✕John Hicks 2023 · MLB	33	40→50	53→55	49→50	35	216/253/385	169	288	21	13	33%	4%	76	-0.4	204/256/330	126	288	13	17	32%	6%	64	-1.3	155/214/229	73	228	6	27	33%	6%	25	-1.4
✕Miguel Olivo 2012 · MLB	34	45→50	54→60	45→50	38	236/272/409	172	291	23	8	28%	5%	88	+0.5	234/266/399	165	293	22	6	28%	4%	84	+0.1	230/263/370	140	302	17	9	29%	4%	74	-0.3

Eric Haase

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps