Eric Haase — OGILVIE

Eric HaaseC Sacramento River Cats

Age 33 R/R 5'10" / 201 lbs AAA BB -3% Svc 3.924 · Ctrl thru 2028 peak 0.5 · 2026

wRC+†vL 10169vR 92

AVG/OBP/SLG.213 / .272 / .369

PA246

HR9

K%34

BB%7

MLB%45%

Scouting · now → future

HIT

20→20

PWR

48→48

SPD

63→63

EYE

46↘39

trajectory · 10 yrs

0.4peak

2026

Contract

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

Status Arb-1

MLB Debut 2018

Service 3.924 yrs.days

Team Control Through 2028

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$2M	+0.5	$2M	+$0.4M
2027	Arb-2	$1M	—	—	—
2028	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$2M	+$0.4M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	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
2012	19	ROK	AZL Indians	109	105	20	7	1	2	3	42	0	1	0	.190	.213	.333	.546	.143	.290	39	3	.235	38	-8	+0	+0	+2	+3	-0.2
2013	20	A	Lake County Captains	420	385	75	18	3	11	31	149	1	2	2	.195	.257	.343	.599	.148	.282	35	7	.257	55	-21	-0	+0	+8	+12	-0.2
2014	21	A	2 teams	398	371	71	15	3	12	23	136	3	1	3	.191	.244	.345	.589	.154	.263	34	6	.256	54	-20	-1	+0	+7	+11	-0.3
2015	22	A+	Lynchburg Hillcats	370	335	58	18	5	6	21	157	11	3	2	.173	.245	.310	.556	.137	.299	42	6	.246	46	-22	-0	+0	+7	+10	-0.6
2016	23	AA	2 teams	265	248	41	11	1	11	14	104	1	0	2	.165	.213	.351	.564	.185	.224	39	5	.238	40	-18	-1	+0	+5	+8	-0.7
2017	24	AA	Akron RubberDucks	381	348	70	12	4	21	29	150	3	4	2	.201	.268	.440	.708	.239	.275	39	8	.300	88	-5	+0	+0	+7	+11	1.3
2018	25	AAA	2 teams	494	458	90	20	4	14	22	175	5	3	1	.197	.241	.349	.591	.153	.275	35	4	.254	53	-26	+0	-0	+9	+14	-0.4
2019	26	AAA	2 teams	418	382	67	9	3	24	27	180	5	1	1	.175	.239	.403	.642	.228	.238	43	6	.275	69	-15	-0	-0	+7	+12	0.4
2020	27	MLB	Detroit Tigers	19	17	3	0	0	0	1	6	0	0	0	.176	.222	.176	.399	.000	.250	32	5	.180	-4	-2	+0	+0	+0	+1	-0.1
2021	28	MLB	2 teams	409	376	88	14	1	23	29	131	2	3	0	.234	.292	.460	.752	.226	.290	32	7	.325	107	+3	+1	-1	+7	+12	2.2
2022	29	MLB	Detroit Tigers	351	323	82	18	1	15	24	97	1	0	0	.254	.307	.455	.763	.201	.313	28	7	.329	110	+4	+0	-3	+6	+10	1.8
2023	30	MLB	2 teams	323	301	60	8	1	5	19	91	0	4	1	.199	.247	.282	.529	.083	.266	28	6	.234	37	-23	+0	+1	+6	+9	-0.7
2024	31	AAA	2 teams	239	219	55	6	0	12	16	96	2	1	1	.251	.308	.443	.751	.192	.384	40	7	.321	104	+1	-0	+0	+4	+7	1.2
2025	32	MLB	2 teams	154	137	30	7	0	3	12	55	2	0	0	.219	.291	.336	.627	.117	.333	36	8	.266	62	-7	+0	+2	+3	+4	0.2
▸ 2026 Season (actual · ROS · total)
2026	33	AAA	Sacramento River Cats	40	37	6	1	0	1	1	17	1	0	0	.162	.205	.270	.475	.108	.250	42	2	.255	53	-2	+0	+0	+1	+1	-0.0
ROS	33	MLB	SF	206	189	39	6	0	7	13	72	2	2	0	.206	.265	.349	.614	.143	.290	35	6	.280	73	-6	+0	+2	+4	+6	0.5
TOT	33	MLB	SF	246	226	45	7	0	8	14	89	3	2	0	.199	.255	.336	.591	.137	.282	36	6	.276	69	-8	+0	+2	+4	+7	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB 54%	SF	180	164	35	5	0	7	12	58	2	1	0	.213	.275	.372	.647	.159	.278	32	7	.283	75	-5	+0	-4	+3	+5	-0.0
▸ Career Totals (MLE all levels + projections)
Career	—			4736	4358	884	174	27	173	296	1699	40	26	15	.203	.260	.374	.634	.171	.282	36	6	.274	68	-171	-1	-4	+85	+134	4.4
/ 162G	—			650	598	122	24	4	24	41	233	5	4	2	.204	.261	.378	.639	.174	.284	36	6	.274	68	-23	+0	-1	+12	+18	0.6

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	131	+4	+0	—	—	+3	0.7
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	115	+7	-0	—	—	+12	1.9
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	44	-4	-0	—	—	+2	-0.3
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	142	+16	-1	—	—	+9	2.5
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	127	+11	-0	—	—	+10	2.2
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	92	-2	-1	—	—	+7	0.4
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	114	+0	+0	—	—	+1	0.1
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	162	+27	+0	—	—	+11	3.8
2018	25	MLB	Cleveland Indians	17	16	2	0	0	0	0	6	1	0	0	.125	.176	.125	.301	.000	.200	35	0	.150	-27	-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	101	+1	+0	—	—	+14	1.5
2019	26	MLB	Cleveland Indians	17	16	1	0	0	1	1	8	0	0	0	.062	.118	.250	.368	.188	.000	47	6	.163	-17	-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	133	+15	-0	—	—	+11	2.7
2020	27	MLB	Detroit Tigers	19	17	3	0	0	0	1	6	0	0	0	.176	.222	.176	.399	.000	.250	32	5	.180	-4	-2	+0	+0	+0	+1	-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	107	+3	+0	-1	+7	+11	2.1
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	215	+4	+0	—	—	+1	0.5
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	110	+4	+0	-3	+6	+10	1.8
2023	30	MLB	Cleveland Guardians	293	274	55	8	1	4	17	81	0	4	1	.201	.247	.281	.528	.080	.268	28	6	.239	41	-19	+0	+1	+6	+8	-0.5
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	34	-2	+0	—	—	+1	-0.1
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	131	+2	+0	+0	+4	+2	0.9
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	149	+9	-0	—	—	+5	1.4
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	79	-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	78	-2	+0	—	—	+2	0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1224	1133	258	41	3	48	76	376	6	6	1	.228	.280	.396	.676	.169	.293	31	6	.298	86	-19	+1	-2	+43	+35	5.9

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)	33	20	48	63	39	.213/.272/.369	.156	.293	9	2	34%	7%	77	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Anthony Recker 2017 · MLB	33	42→48	50	48→45	47	.214/.292/.365	.151	.283	18	5	30%	9%	85	+0.7	.212/.279/.357	.145	.289	16	5	31%	7%	77	+0.1	.194/.255/.340	.146	.266	16	1	32%	6%	59	-0.5
✕Cody Ransom 2009 · MLB	33	39→41	54→55	48→50	44	.212/.276/.389	.177	.262	22	11	29%	7%	84	+0.6	.219/.281/.393	.174	.279	20	10	28%	7%	87	+0.8	.217/.285/.398	.181	.290	23	7	32%	8%	87	+0.6
✕Mike Coolbaugh 2006 · AAA	34	43→41	53→55	53→50	42	.228/.277/.396	.168	.276	21	10	26%	6%	86	+0.8	.217/.283/.361	.144	.272	17	9	26%	7%	79	+0.3	.182/.274/.295	.113	.227	14	4	26%	10%	56	-0.6
✕Brooks Conrad 2012 · MLB	32	45→44	51→55	53→50	47	.230/.301/.389	.159	.296	18	13	28%	8%	94	+1.3	.227/.292/.424	.197	.303	25	6	32%	8%	99	+1.7	.190/.251/.354	.164	.246	21	1	32%	7%	63	-0.4
✕Justin Leone 2009 · AAA	32	40→41	50	52→55	50	.210/.290/.362	.152	.264	18	17	27%	10%	82	+0.5	.193/.264/.323	.130	.271	14	14	32%	8%	61	-1.0	.130/.199/.223	.093	.194	9	6	37%	8%	8	-1.9
✕Brett Hayes 2015 · MLB	31	38	50→45	50→40	36	.205/.240/.356	.151	.265	19	6	31%	4%	59	-1.1	.185/.224/.299	.114	.245	13	5	30%	4%	37	-2.6	.153/.195/.232	.080	.211	9	0	32%	4%	5	-1.5
✕Carlos M. Rodriguez 2015 · AAA	33	42→44	53→55	45→40	39	.218/.280/.384	.166	.304	23	4	35%	7%	84	+0.6	.215/.269/.332	.117	.307	13	4	33%	6%	66	-0.6	.217/.266/.330	.113	.309	12	1	32%	5%	61	-0.6
✕Dustin Garneau 2022 · MLB	34	38	56→50	48→45	44	.207/.287/.398	.191	.266	24	5	31%	8%	92	+1.2	.199/.277/.358	.159	.261	19	7	31%	7%	77	+0.1	.146/.241/.274	.128	.186	16	2	31%	7%	40	-0.8
✕Joe Hudson 2023 · MLB	32	37	50→45	48→40	43	.198/.263/.343	.145	.268	19	6	33%	8%	66	-0.6	.201/.289/.344	.143	.302	18	9	37%	10%	79	+0.3	.184/.295/.316	.132	.278	17	10	37%	11%	71	-0.1
✕Jesus Alberto Vega 2014 · AAA	32	44	50	47→40	42	.229/.281/.377	.149	.279	19	8	26%	6%	82	+0.5	.221/.269/.326	.105	.302	11	6	29%	5%	63	-0.8	.204/.253/.285	.081	.295	7	1	32%	5%	42	-0.7
✕John Hicks 2023 · MLB	33	43→51	56→60	49→50	35	.228/.265/.418	.190	.303	25	13	34%	4%	87	+0.8	.212/.261/.354	.142	.296	16	17	33%	6%	68	-0.5	.169/.230/.255	.086	.246	7	27	33%	6%	29	-1.1
✕David Matranga 2009 · AAA	32	41	46→45	49→50	42	.210/.274/.334	.124	.276	14	10	29%	6%	69	-0.4	.222/.302/.348	.126	.301	13	9	28%	9%	84	+0.6	.209/.311/.324	.115	.287	11	5	28%	10%	82	+0.2
✕Ryan Casteel 2022 · AAA	31	40→47	54→55	47→40	39	.214/.268/.387	.173	.291	23	4	34%	6%	80	+0.4	.209/.265/.388	.179	.274	25	5	33%	6%	79	+0.3	.179/.242/.390	.210	.202	32	0	31%	6%	66	-0.3
✕Mark Little 2006 · MLB	34	44	52→55	52→55	40	.227/.298/.393	.166	.296	20	19	30%	6%	95	+1.4	.232/.315/.357	.125	.319	12	15	29%	6%	92	+1.2	.233/.334/.324	.091	.343	4	13	29%	7%	89	+0.5
✕Kristopher Negrón 2019 · MLB	33	45→50	45	54→55	39	.223/.279/.349	.126	.309	13	17	31%	6%	74	-0.1	.232/.294/.361	.129	.336	14	14	33%	7%	83	+0.6	.238/.304/.360	.122	.346	14	14	33%	8%	83	+0.4
✕Brad Eldred 2012 · MLB	32	38→39	55→65	47→45	38	.211/.265/.390	.179	.269	24	9	31%	5%	80	+0.4	.232/.284/.458	.226	.296	31	11	32%	6%	106	+2.2	.234/.286/.538	.304	.281	44	9	34%	6%	126	+1.7
✕Seth Bynum 2012 · AAA	31	42→44	49→55	51→50	38	.216/.261/.362	.146	.290	18	12	32%	5%	70	-0.3	.204/.256/.327	.123	.296	13	10	34%	6%	59	-1.1	.180/.234/.285	.105	.269	11	6	36%	5%	35	-1.9
✕Donnie Murphy 2015 · MLB	32	39→41	52→60	45	41	.209/.273/.376	.166	.260	21	6	28%	6%	79	+0.3	.210/.275/.332	.122	.267	13	6	26%	7%	69	-0.4	.196/.269/.273	.077	.249	7	0	23%	7%	49	-0.5
✕Drew Maggi 2022 · AAA	33	43→53	47→45	49→60	42	.214/.293/.350	.135	.297	15	13	32%	7%	82	+0.5	.192/.262/.287	.095	.274	8	20	31%	7%	52	-1.6	.168/.238/.238	.070	.236	5	22	29%	6%	26	-1.2
✕Jarrod Saltalamacchia 2018 · MLB	33	35→45	50→60	46→40	46	.184/.271/.335	.150	.277	19	3	38%	10%	68	-0.5	.182/.258/.295	.113	.289	13	6	38%	9%	52	-1.6	.139/.221/.227	.088	.213	10	2	38%	9%	16	-1.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)