Peyton Graham — OGILVIE

Peyton GrahamSS Erie SeaWolves

Age 25 R/R 6'3" / 185 lbs AA HR +5%H +3% Svc 0.0 · Ctrl thru 2034 peak 1.0 · 2028

wRC+†73

AVG/OBP/SLG.208 / .283 / .317

PA320

HR5

SB19

K%29

BB%8

MLB%2%

Scouting · now → future

HIT

50→50

PWR

40→40

SPD

55→55

EYE

48↘40

trajectory · 10 yrs

1.0peak

2028

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+1.0	$9M	+$8M
2030	Arb-2	$0.9M	+0.9	$4M	+$3M
2031	Arb-3	$0.9M	+0.7	$3M	+$2M
2032	Ext / FA-deal	$0.8M	+0.4	$2M	+$1M
2033	Ext / FA-deal	$0.4M	+0.1	$0.5M	+$0.1M
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$18M	+$13M

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
2022	21	A	Lakeland Flying Tigers	113	103	21	4	1	1	7	42	2	7	1	.204	.268	.291	.559	.087	.328	37	6	.243	44	-7	+1	+0	+1	+3	-0.2
2023	22	A	Lakeland Flying Tigers	239	212	39	9	1	3	19	77	6	15	3	.184	.270	.278	.548	.094	.269	32	8	.244	45	-15	+2	+0	+3	+7	-0.4
2024	23	A+	3 teams	266	228	37	8	0	2	29	77	8	10	2	.162	.279	.224	.503	.061	.233	29	11	.235	38	-19	+1	+0	+3	+8	-0.7
2025	24	A+	West Michigan Whitecaps	409	373	86	19	3	7	25	113	8	20	2	.231	.293	.354	.647	.123	.310	28	6	.278	71	-13	+3	+0	+4	+12	0.6
▸ 2026 Season (actual · ROS · total)
2026	25	AA	Erie SeaWolves	53	47	12	2	1	0	4	21	2	8	0	.255	.340	.340	.680	.085	.462	40	8	.282	74	-2	+2	+0	+1	+2	0.2
ROS	25	MLB	DET	267	239	52	11	2	4	20	80	6	11	1	.218	.294	.331	.625	.113	.302	30	7	.280	73	-8	+2	+0	+3	+8	0.4
TOT	25	MLB	DET	320	286	64	13	3	4	24	101	8	19	1	.224	.302	.332	.634	.108	.330	32	8	.280	73	-10	+3	+0	+3	+9	0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	26	MLB 11%	DET	358	318	70	14	2	6	30	89	7	13	1	.220	.301	.333	.635	.113	.287	25	8	.292	82	-7	+2	+0	+4	+10	0.9
2028	27	MLB 26%	DET	383	341	76	15	2	7	32	95	7	13	1	.223	.303	.340	.643	.117	.288	25	8	.295	84	-7	+2	+0	+4	+11	1.0
2029	28	MLB 38%	DET	397	353	79	16	2	7	34	99	7	12	1	.224	.305	.340	.645	.116	.288	25	9	.295	84	-7	+2	-1	+4	+11	1.0
2030	29	MLB 47%	DET	398	354	78	16	2	7	34	100	7	10	0	.220	.301	.336	.637	.116	.287	25	9	.294	83	-8	+2	-1	+4	+11	0.9
2031	30	MLB 56%	DET	397	353	78	16	2	7	34	101	7	9	0	.221	.302	.337	.639	.116	.286	25	9	.290	80	-9	+2	-2	+4	+11	0.7
2032	31	MLB 66%	DET	386	343	75	15	2	7	33	100	7	7	0	.219	.300	.335	.636	.117	.284	26	9	.287	78	-10	+1	-3	+4	+11	0.4
2033	32	MLB 76%	DET	369	327	70	14	2	6	32	98	7	6	0	.214	.298	.324	.622	.110	.283	27	9	.282	74	-11	+1	-4	+4	+10	0.1
2034	33	MLB 83%	DET	341	303	64	13	2	5	29	93	6	5	0	.211	.293	.317	.610	.106	.281	27	9	.277	70	-12	+1	-4	+4	+10	-0.1
2035	34	MLB	DET	298	266	54	11	1	4	25	84	5	4	0	.203	.284	.297	.581	.094	.279	28	8	.271	65	-12	+1	-5	+3	+8	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			4621	4113	879	181	24	73	383	1248	90	142	12	.214	.295	.323	.617	.109	.286	27	8	.280	72	-144	+24	-20	+50	+131	4.1
/ 162G	—			650	579	123	25	3	10	54	176	13	20	2	.212	.295	.318	.612	.105	.285	27	8	.280	72	-20	+3	-3	+7	+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
2022	21	A	Lakeland Flying Tigers	113	100	27	5	1	1	10	29	2	7	1	.270	.348	.370	.718	.100	.366	26	9	.324	106	+1	+1	—	—	+3	0.5
2023	22	A	Lakeland Flying Tigers	239	203	47	11	1	4	28	53	6	15	3	.232	.342	.355	.696	.123	.291	22	12	.318	102	+0	+2	—	—	+7	0.9
2024	23	A+	West Michigan Whitecaps	202	162	30	7	0	1	31	46	8	8	2	.185	.343	.247	.590	.062	.250	23	15	.290	80	-5	+1	—	—	+6	0.2
2024	23	A	Lakeland Flying Tigers	34	28	7	1	0	1	6	5	0	2	0	.250	.382	.393	.775	.143	.273	15	18	.355	130	+1	+0	—	—	+1	0.3
2024	23	INTL	Scottsdale Scorpions	30	28	5	1	1	0	2	11	0	0	0	.179	.233	.286	.519	.107	.294	37	7	.234	37	-2	+0	—	—	+1	-0.1
2025	24	A+	West Michigan Whitecaps	409	357	101	23	3	7	40	85	8	20	2	.283	.367	.423	.790	.140	.352	21	10	.353	128	+13	+3	—	—	+12	2.8

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
Peyton Graham (OGILVIE)	25	50	40	55	40	.208/.283/.317	.109	.285	5	9	29%	8%	69	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jonathan Davis 2017 · A	25	42→52	45	54→55	45	.208/.292/.339	.130	.288	12	20	30%	8%	78	+0.2	.222/.302/.340	.118	.293	10	19	26%	8%	82	+0.5	.225/.305/.340	.115	.292	10	20	25%	7%	80	+0.3
✕Sean Jamieson 2014 · A	25	44→46	44→45	51→50	45	.214/.283/.334	.120	.278	10	12	26%	7%	72	-0.2	.229/.289/.338	.109	.309	9	9	27%	6%	75	-0.0	.230/.289/.325	.094	.319	7	7	28%	6%	68	-0.2
✕Anthony Prato 2023 · AA	25	48→49	41→45	52→55	46	.224/.306/.329	.104	.320	7	15	30%	9%	80	+0.4	.214/.309/.324	.110	.293	9	17	27%	10%	82	+0.5	.204/.313/.306	.103	.273	8	21	25%	11%	75	+0.0
✕Jake Lemmerman 2014 · AA	25	44→50	42→45	51→45	46	.213/.290/.322	.110	.290	10	10	28%	8%	72	-0.2	.194/.266/.303	.109	.276	10	9	31%	8%	57	-1.2	.146/.218/.245	.099	.206	10	4	33%	8%	20	-1.6
✕Corey Toups 2017 · AA	24	46→47	44→45	56→50	43	.224/.285/.348	.124	.297	10	16	27%	7%	76	+0.1	.204/.266/.311	.107	.308	9	15	35%	7%	59	-1.1	.184/.250/.275	.091	.296	8	16	38%	7%	40	-1.4
✕Jack Dunn 2022 · A	25	49→48	39→40	53→55	47	.235/.298/.317	.083	.300	6	15	23%	7%	73	-0.1	.225/.305/.302	.077	.297	6	18	24%	9%	73	-0.1	.215/.308/.291	.076	.277	7	21	23%	10%	70	-0.3
✕Hunter Stovall 2022 · A	25	50→49	39→45	53→50	46	.235/.293/.324	.088	.304	6	18	24%	7%	72	-0.2	.233/.281/.335	.102	.298	9	15	23%	6%	70	-0.3	.226/.271/.320	.094	.275	9	14	21%	6%	58	-0.8
✕Brian Finegan 2007 · A	25	50→51	41→40	52→50	44	.239/.294/.341	.103	.297	8	14	22%	6%	78	+0.2	.219/.277/.306	.087	.298	7	13	27%	6%	62	-0.9	.204/.264/.278	.073	.286	6	13	29%	6%	47	-0.8
✕Jared Triolo 2023 · AA	25	50→60	43→45	53→55	46	.242/.301/.357	.115	.310	11	19	25%	7%	85	+0.7	.238/.315/.347	.109	.322	10	17	27%	10%	89	+0.9	.230/.317/.337	.107	.307	10	17	26%	10%	83	+0.4
●Rafael Lantigua 2022 · A	24	45→55	45	52→55	45	.222/.283/.349	.127	.289	12	18	27%	7%	76	+0.0	.248/.317/.362	.114	.326	10	18	25%	9%	93	+1.3	.253/.327/.352	.099	.328	8	18	23%	9%	91	+1.0
✕Aaron Mathews 2006 · A	24	48→53	43→45	54→45	45	.233/.284/.350	.117	.292	9	13	23%	6%	76	+0.0	.248/.287/.362	.114	.297	9	8	19%	5%	79	+0.3	.258/.294/.370	.112	.305	9	5	18%	5%	81	+0.3
✕Michael Russell 2018 · AA	25	46→51	42→45	53→55	44	.224/.279/.336	.113	.278	8	19	22%	6%	70	-0.3	.218/.262/.316	.098	.288	7	15	26%	5%	58	-1.2	.213/.249/.294	.081	.286	5	13	26%	4%	43	-1.2
✕Jacob Buchberger 2023 · AA	25	47→46	41→45	53→50	45	.225/.282/.322	.097	.294	8	12	25%	7%	68	-0.5	.210/.272/.320	.110	.287	12	13	29%	7%	63	-0.8	.195/.260/.302	.107	.269	13	13	31%	7%	50	-1.2
✕Anthony Granato 2006 · A	25	50→52	39→40	53→55	51	.234/.312/.322	.088	.311	6	17	25%	10%	80	+0.4	.222/.303/.314	.092	.309	7	18	27%	10%	75	-0.0	.179/.288/.250	.072	.261	5	31	30%	12%	53	-0.3
✕Randy Walter 2006 · AA	25	49	44→45	49→55	40	.238/.284/.356	.118	.326	11	15	30%	6%	77	+0.1	.208/.251/.322	.114	.288	10	16	30%	5%	55	-1.4	.170/.207/.277	.107	.231	9	18	31%	4%	21	-1.7
✕Travis Jones 2021 · AA	25	47→50	40	52→55	40	.221/.298/.308	.088	.318	8	21	31%	6%	72	-0.2	.208/.295/.315	.107	.311	11	12	33%	9%	73	-0.1	.177/.285/.273	.097	.265	11	10	34%	11%	56	-0.5
✕Gus Milner 2009 · A	25	48	41→40	50	45	.228/.287/.329	.101	.302	8	13	26%	7%	72	-0.2	.214/.266/.304	.090	.307	7	10	31%	6%	56	-1.3	.196/.241/.270	.075	.291	7	5	34%	4%	35	-1.9
✕Levi Michael 2016 · AA	25	48→58	40→45	56→55	48	.229/.298/.327	.098	.297	6	20	24%	8%	76	+0.0	.222/.286/.320	.098	.310	7	12	29%	6%	69	-0.4	.227/.293/.340	.113	.317	11	11	30%	5%	75	-0.0
✕Cutter Dykstra 2014 · A	25	47→57	38→40	52→55	45	.223/.288/.303	.080	.300	5	16	26%	8%	66	-0.6	.230/.294/.315	.085	.318	7	11	28%	8%	71	-0.3	.225/.287/.302	.077	.314	7	9	29%	7%	63	-0.6
✕Daniel Lyons 2010 · A	25	43→46	40→45	51→50	49	.208/.290/.307	.098	.265	7	15	23%	8%	69	-0.4	.196/.281/.273	.077	.269	4	12	26%	9%	56	-1.3	.173/.270/.224	.051	.247	2	11	27%	10%	38	-1.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)