Hunter Dobbins — OGILVIE

Hunter DobbinsC West Michigan Whitecaps

Age 23 R/R 6'1" / 204 lbs A+ HR +5%H +3% Svc 0.0 · Ctrl thru 2035 peak 1.1 · 2030

wRC+†-7

AVG/OBP/SLG.205 / .271 / .302

PA60

HR1

K%30

BB%7

MLB%0%

trajectory · 10 yrs

1.1peak

2030

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2027

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+1.1	$10M	+$9M
2031	Arb-3	$0.9M	+1.0	$9M	+$8M
2032	Ext / FA-deal	$0.9M	+0.9	$4M	+$3M
2033	Ext / FA-deal	$1M	+0.8	$4M	+$3M
2034	Ext / FA-deal	$1M	+0.5	$3M	+$1M
2035	Ext / FA-deal	$0.6M	+0.2	$1M	+$0.4M
Totals		$6M		$31M	+$25M

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
2025	22	ROK	FCL Tigers	58	52	5	2	0	1	4	27	2	1	0	.096	.190	.192	.382	.096	.167	47	7	.170	-12	-7	+0	+0	+1	+2	-0.5
▸ 2026 Season (actual · ROS · total)
2026	23	A+	West Michigan Whitecaps	50	46	6	1	0	1	4	32	0	0	0	.130	.200	.217	.417	.087	.385	64	8	.161	-19	-7	+0	+0	+1	+1	-0.4
ROS	23	MLB	DET	10	9	1	0	0	0	1	3	0	0	0	.111	.200	.111	.311	.000	.296	30	10	.255	53	-1	+0	+0	+0	+0	-0.0
TOT	23	MLB	DET	60	55	7	1	0	1	5	35	0	0	0	.127	.200	.200	.400	.073	.316	58	8	.177	-7	-7	+0	+0	+1	+2	-0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	DET	133	120	26	4	1	3	11	35	1	2	0	.217	.288	.342	.630	.125	.278	26	8	.278	71	-4	+0	+0	+2	+4	0.2
2028	25	MLB 25%	DET	242	218	48	8	1	6	20	63	2	3	1	.220	.292	.349	.640	.128	.280	26	8	.288	79	-6	+0	+0	+4	+7	0.6
2029	26	MLB 43%	DET	319	286	64	11	2	8	27	82	3	5	1	.224	.297	.360	.658	.136	.282	26	8	.294	83	-6	+1	+0	+6	+9	0.9
2030	27	MLB 58%	DET	362	325	73	13	2	9	31	93	3	5	1	.225	.298	.360	.658	.135	.282	26	9	.295	84	-7	+1	+0	+6	+10	1.1
2031	28	MLB 68%	DET	387	347	77	13	2	10	33	100	4	5	1	.222	.297	.357	.654	.135	.282	26	9	.294	83	-8	+1	-1	+7	+11	1.0
2032	29	MLB 77%	DET	395	354	79	14	2	10	34	103	4	4	1	.223	.298	.359	.657	.136	.281	26	9	.291	81	-8	+0	-1	+7	+11	0.9
2033	30	MLB 84%	DET	399	357	77	13	2	9	35	106	4	3	0	.216	.293	.339	.632	.123	.280	27	9	.288	79	-10	+1	-2	+7	+11	0.8
2034	31	MLB 91%	DET	379	340	74	13	2	9	33	102	3	1	0	.218	.293	.347	.640	.129	.278	27	9	.285	76	-10	+0	-3	+7	+11	0.5
2035	32	MLB	DET	354	317	67	11	2	8	31	97	3	0	0	.211	.288	.334	.622	.123	.277	27	9	.280	72	-11	+0	-4	+6	+10	0.2
2036	33	MLB	DET	318	285	60	10	2	7	27	90	3	0	0	.211	.286	.333	.619	.123	.275	28	8	.275	68	-11	+0	-4	+6	+9	-0.1
2037	34	MLB	DET	271	244	49	8	1	5	23	79	2	0	0	.201	.275	.303	.578	.102	.273	29	8	.268	63	-11	+0	-5	+5	+8	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			3627	3254	700	120	19	85	310	980	34	29	5	.215	.290	.342	.632	.127	.279	27	9	.284	76	-100	+4	-20	+65	+103	5.3
/ 162G	—			650	583	125	22	3	15	56	176	6	5	1	.214	.290	.340	.630	.125	.278	27	9	.284	76	-18	+1	-4	+12	+18	0.9

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
2025	22	ROK	FCL Tigers	58	49	7	3	0	1	7	19	2	1	0	.143	.276	.265	.541	.122	.207	33	12	.259	56	-3	+0	—	—	+2	-0.1

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
Hunter Dobbins (OGILVIE)	23	—	—	—	—	.205/.271/.302	.097	.291	1	1	30%	7%	59	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	.205/.269/.327	.122	.280	11	10	30%	7%	65	-0.7	.196/.267/.342	.146	.271	17	7	33%	8%	69	-0.4	.206/.283/.412	.206	.265	29	1	33%	8%	91	+0.6
✕Adrian Del Castillo 2023 · A	23	36→45	43→55	52→40	41	.184/.246/.294	.110	.257	10	7	32%	7%	46	-2.0	.210/.280/.351	.141	.289	15	4	31%	8%	76	+0.0	.218/.292/.382	.164	.293	19	1	31%	9%	86	+0.5
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	43	.207/.281/.298	.092	.283	7	6	28%	7%	63	-0.9	.204/.276/.336	.132	.276	16	3	31%	7%	70	-0.3	.179/.260/.330	.151	.234	22	0	33%	7%	67	-0.2
✕John Hester 2007 · A	23	42	43→55	50	41	.206/.271/.327	.122	.299	10	7	33%	7%	65	-0.7	.224/.267/.365	.141	.298	14	7	29%	5%	72	-0.2	.249/.292/.416	.167	.322	15	10	27%	5%	94	+0.7
✕Blaze Alexander 2022 · A	23	38→48	42→50	52→50	39	.185/.256/.288	.103	.292	11	14	38%	7%	49	-1.8	.218/.290/.354	.136	.331	15	11	36%	7%	81	+0.4	.220/.308/.345	.126	.328	13	10	34%	8%	84	+0.4
✕Chase Strumpf 2021 · A	23	44→35	42→50	49→45	42	.208/.284/.314	.106	.302	8	7	32%	7%	68	-0.5	.197/.289/.340	.143	.309	15	5	38%	9%	77	+0.1	.182/.286/.344	.162	.286	20	4	40%	10%	74	-0.1
✕Corey Joyce 2021 · A	22	44	40→45	50	40	.212/.268/.307	.095	.307	8	8	32%	6%	58	-1.2	.203/.290/.313	.110	.295	11	12	32%	9%	70	-0.3	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Riley Adams 2019 · A	23	45→42	39→50	49→40	44	.206/.285/.298	.092	.312	5	5	33%	8%	63	-0.8	.211/.299/.344	.133	.325	13	5	36%	8%	82	+0.5	.209/.298/.376	.166	.299	17	0	33%	8%	89	+0.4
✕Andy Paz 2016 · A	23	39	37→40	48→45	43	.187/.248/.258	.071	.267	5	5	31%	8%	37	-2.6	.224/.274/.290	.066	.298	4	7	24%	7%	55	-1.4	.235/.280/.283	.048	.303	3	7	22%	6%	52	-0.5
✕Vito Friscia 2021 · A	24	43	40→45	49→40	42	.208/.266/.303	.094	.290	7	5	30%	7%	56	-1.3	.211/.293/.327	.116	.322	12	4	35%	10%	75	-0.0	.200/.291/.320	.120	.304	13	2	35%	10%	71	-0.2
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
✕Juan Uriarte 2021 · A	23	38	41→45	48→30	32	.190/.229/.285	.095	.284	9	6	36%	4%	36	-2.7	.195/.244/.278	.083	.290	6	6	33%	4%	40	-2.4	.151/.199/.200	.049	.234	0	0	33%	2%	-2	-1.2
✕Aaron McKeithan 2022 · A	22	41	39→40	49→40	40	.198/.263/.282	.084	.277	6	7	29%	6%	50	-1.7	.218/.296/.304	.086	.283	8	4	24%	7%	70	-0.3	.219/.302/.289	.070	.280	7	1	22%	7%	69	-0.2
✕Jack Mayfield 2014 · A	23	43→45	42→55	45→50	42	.214/.272/.319	.105	.279	10	7	26%	6%	63	-0.8	.219/.268/.334	.115	.275	12	5	24%	6%	66	-0.6	.219/.267/.394	.175	.252	22	7	23%	5%	80	+0.3
✕Francisco Acuna 2023 · A	23	40→47	41→40	47→50	42	.195/.271/.297	.102	.275	8	11	30%	7%	58	-1.2	.211/.282/.307	.096	.282	7	13	26%	7%	65	-0.7	.217/.292/.310	.093	.282	9	18	25%	7%	67	-0.3
✕Deibinson Romero 2010 · A	23	42→46	40→50	46→40	43	.205/.269/.300	.094	.280	8	5	28%	7%	57	-1.2	.209/.276/.319	.110	.279	11	3	28%	7%	66	-0.6	.226/.295/.367	.141	.272	17	2	23%	8%	84	+0.5
✕Bryan Holaday 2011 · A	23	43	42→45	47→40	42	.204/.284/.305	.101	.299	9	6	33%	8%	66	-0.6	.210/.264/.299	.089	.275	7	6	25%	6%	54	-1.4	.217/.286/.341	.124	.252	13	2	19%	7%	71	-0.1
✕Tyler Grimes 2013 · A	23	38	42→40	47→40	41	.187/.266/.294	.107	.282	9	8	35%	8%	55	-1.4	.206/.282/.301	.095	.307	7	5	33%	7%	63	-0.8	.207/.285/.293	.087	.311	6	2	32%	7%	60	-0.6
✕Randy Florentino 2023 · A	23	36	41→50	47→45	40	.183/.244/.273	.090	.273	9	7	35%	7%	40	-2.4	.196/.244/.284	.088	.259	9	6	27%	6%	42	-2.3	.184/.224/.260	.076	.231	7	4	23%	4%	25	-1.0
✕Raul Beracierta 2022 · A	23	42	44→50	50	38	.206/.263/.332	.126	.313	11	8	36%	6%	63	-0.9	.226/.273/.356	.130	.336	15	5	35%	5%	73	-0.1	.235/.278/.368	.133	.343	18	1	36%	4%	73	-0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)