Peyton Graham — OGILVIE

Peyton GrahamSS Erie SeaWolves

Age 25 R/R 6'3" / 185 lbs AA HR -8% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION505 act + 10 ros · stats below = ROS only

showingROS

wRC+†88

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP305

ISO98

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$16M ctrl surplus

Tools · ContractCON 50 / POW 40

Toolsscout grade

CONTACT50

scouting grade only

POWER40

scouting grade only

EYE40

scouting grade only

SPEED55

scouting grade only

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	Pre-Arb	$0.8M	+0.5	$2M	+$1.0M
2030	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Arb-1	$2M	+0.3	$0.8M	+$0.0M (cut)
2033	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-3	$0.6M	—	—	—
Totals		$3M		$5M	+$2M

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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

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)
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	—	—	+2	0.4
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	—	—	+5	0.8
2024	23	A+	West Michigan Whitecaps	—	202	162	30	7	0	1	31	46	8	8	2	185	343	247	590	62	250	23	15	290	82	-4	+1	—	—	+4	0.1
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	127	+1	+0	—	—	+1	0.2
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	44	-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	125	+12	+3	—	—	+9	2.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	21	A MLE	Lakeland Flying Tigers	—	113	103	21	4	1	1	7	42	2	7	1	204	268	291	559	87	318	37	6	242	50	-7	+1	—	—	+2	-0.3
2023	22	A MLE	Lakeland Flying Tigers	—	239	212	39	9	1	3	19	77	6	15	3	184	270	278	548	94	261	32	8	243	51	-14	+2	—	—	+5	-0.7
2024	23	A+ MLE	West Michigan Whitecaps	—	202	172	25	6	0	1	21	65	8	8	2	145	269	198	466	52	223	32	10	223	37	-15	+1	—	—	+4	-1.0
2024	23	A MLE	Lakeland Flying Tigers	—	34	30	7	1	0	1	4	7	0	2	0	233	324	367	690	133	244	21	12	280	76	-1	+0	—	—	+1	0.0
2025	24	A+ MLE	West Michigan Whitecaps	—	409	372	83	19	3	6	26	119	8	20	2	223	288	339	627	116	302	29	6	273	71	-14	+3	—	—	+9	-0.2
2022	21	A MLE	Lakeland Flying Tigers	—	113	103	21	4	1	1	7	42	2	7	1	204	268	291	559	87	328	37	6	242	50	—	—	—	—	—	—
2022	21	A RAW	Lakeland Flying Tigers	—	113	100	27	5	1	1	10	29	2	7	1	270	348	370	718	100	366	26	9	324	50	—	—	—	—	—	—
2023	22	A MLE	Lakeland Flying Tigers	—	239	212	39	9	1	3	19	77	6	15	3	184	270	278	548	94	269	32	8	243	51	—	—	—	—	—	—
2023	22	A RAW	Lakeland Flying Tigers	—	239	203	47	11	1	4	28	53	6	15	3	232	342	355	696	123	291	22	12	318	51	—	—	—	—	—	—
2024	23	A+ MLE	3 teams	—	266	228	36	8	0	2	29	81	8	10	2	158	275	219	495	61	233	30	11	231	43	—	—	—	—	—	—
2024	23	A+ RAW	3 teams	—	266	218	42	9	1	2	39	62	8	10	2	193	336	271	606	78	258	23	15	292	43	—	—	—	—	—	—
2025	24	A+ MLE	West Michigan Whitecaps	—	409	372	83	19	3	6	26	119	8	20	2	223	288	339	627	116	309	29	6	273	71	—	—	—	—	—	—
2025	24	A+ RAW	West Michigan Whitecaps	—	409	357	101	23	3	7	40	85	8	20	2	283	367	423	790	140	352	21	10	353	71	—	—	—	—	—	—
2022	21	A MLE	Lakeland Flying Tigers	—	113	103	21	4	1	1	7	42	2	7	1	204	268	291	559	87	318	37	6	242	50	—	—	—	—	—	—
2023	22	A MLE	Lakeland Flying Tigers	—	239	212	39	9	1	3	19	77	6	15	3	184	270	278	548	94	261	32	8	243	51	—	—	—	—	—	—
2024	23	A+ MLE	3 teams	—	266	227	36	8	0	2	29	81	8	10	2	159	275	220	496	62	226	30	11	231	43	—	—	—	—	—	—
2025	24	A+ MLE	West Michigan Whitecaps	—	409	372	83	19	3	6	26	119	8	20	2	223	288	339	627	116	302	29	6	273	71	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	A MLE	Lakeland Flying Tigers	—	239	212	39	9	1	3	19	77	6	15	3	184	270	278	548	94	261	32	8	243	51	—	—	—	—	—	—
2024	23	A+ MLE	3 teams	—	266	227	36	8	0	2	29	81	8	10	2	159	275	220	496	62	226	30	11	231	43	—	—	—	—	—	—
2025	24	A+ MLE	West Michigan Whitecaps	—	409	372	83	19	3	6	26	119	8	20	2	223	288	339	627	116	302	29	6	273	71	—	—	—	—	—	—
YTD	25	AA MLE	DET	—	505	441	113	19	5	7	44	128	15	66	7	256	344	370	714	113	341	25	9	314	99	-1	+10	+0	+5	+11	2.6
▸ 2026 season
YTD	25	AA RAW	DET	—	505	420	123	22	5	9	64	105	15	66	7	293	404	433	837	140	367	21	13	375	99	—	—	—	—	—	—
ROS	25	AA MLE	DET	2%	10	9	1	0	0	0	1	3	0	1	0	111	200	111	311		310	30	10	298	88	-0	+0	+0	+0	+0	0.0
TOT	25	AA MLE	DET	—	515	450	114	19	5	7	45	131	15	67	7	253	341	364	706	111	338	25	9	314	98	-1	+11	+0	+6	+11	2.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	DET	31%	545	482	111	20	4	8	46	143	12	42	5	230	313	338	651	108	305	26	8	295	86	-9	+6	+0	+6	+12	1.5
2028	27	MLB MLE	DET	42%	388	344	79	14	3	6	33	101	8	30	3	230	312	340	652	110	304	26	9	298	88	-6	+5	+0	+4	+8	1.2
2029	28	MLB MLE	DET	48%	401	355	82	15	3	7	35	104	8	30	3	231	314	349	663	118	303	26	9	298	88	-6	+5	-1	+4	+9	1.2
2030	29	MLB MLE	DET	49%	400	354	82	15	3	7	35	104	8	28	3	232	315	350	665	119	302	26	9	297	87	-6	+4	-1	+4	+9	1.0
2031	30	MLB MLE	DET	50%	398	352	80	15	2	6	35	104	8	25	3	227	311	332	644	105	301	26	9	294	85	-7	+4	-2	+4	+9	0.8
2032	31	MLB MLE	DET	51%	387	342	77	14	2	6	34	103	8	21	2	225	310	330	640	105	299	27	9	291	83	-8	+3	-3	+4	+8	0.5
2033	32	MLB MLE	DET	51%	370	328	72	13	2	5	32	100	7	17	2	220	302	317	620	98	296	27	9	285	79	-9	+3	-4	+4	+8	0.2
2034	33	MLB MLE	DET	51%	341	302	64	11	2	4	29	94	7	12	1	212	296	301	597	89	293	28	9	279	75	-10	+2	-4	+4	+7	-0.1
2027	26	MLB CTX	DET	31%	169	149	33	6	1	2	14	44	4	13	1	221	305	315	621	94	300	26	8	275	86	-3	+2	+0	+2	+4	0.5
2028	27	MLB CTX	DET	42%	163	145	33	6	1	3	14	42	3	13	1	228	309	345	653	117	299	26	9	278	88	-2	+2	+0	+2	+4	0.5
2029	28	MLB CTX	DET	48%	192	169	38	7	1	3	17	50	4	14	2	225	311	331	642	107	298	26	9	279	88	-3	+2	-0	+2	+4	0.5
2030	29	MLB CTX	DET	49%	197	174	39	7	1	3	17	51	4	14	2	224	308	328	635	103	297	26	9	278	87	-3	+2	-1	+2	+4	0.5
2031	30	MLB CTX	DET	50%	200	177	39	7	1	3	17	52	4	12	1	220	303	322	625	102	297	26	8	275	85	-3	+2	-1	+2	+4	0.4
2032	31	MLB CTX	DET	51%	196	173	38	7	1	3	17	52	4	11	1	220	304	324	628	104	295	27	9	272	83	-4	+2	-1	+2	+4	0.3
2033	32	MLB CTX	DET	51%	189	167	36	6	1	3	16	51	4	8	1	216	299	317	617	102	292	27	8	267	79	-5	+1	-2	+2	+4	0.1
2034	33	MLB CTX	DET	51%	175	155	33	6	1	2	15	48	3	6	1	213	295	303	598	90	288	27	9	261	75	-5	+1	-2	+2	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1481	1309	289	52	8	22	127	390	30	91	10	221	304	323	627	102	295	26	9	273	78	-28	+14	-7	+16	+32	2.7
/ 162G	—	A+C		—	650	575	128	23	4	10	56	171	13	40	4	223	306	329	635	106	296	26	9	273	78	-12	+6	-3	+7	+14	1.2
Career	—	MLE		—	4267	3783	827	157	26	61	361	1175	90	258	30	219	302	322	624	104	298	28	8	283	78	-61	+32	-15	+35	+70	6.3
/ 162G	—	MLE		—	650	576	126	24	4	9	55	179	14	39	5	219	303	321	624	102	298	28	8	283	78	-12	+6	-3	+7	+14	1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Leonys Martinlast yr '19 career totals — 8 seasons, 2,784 PA	4.2	2,784	58	126	243	301	366	+10	+53	10.7	10.8
/162	664	14	30	+2.4	+12.6	2.5	pk7: 11
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Emilio Bonifáciolast yr '15 career totals — 8 seasons, 2,780 PA	4.2	2,780	13	165	259	315	337	+15	-1	5.5	5.9
/162	664	3	39	+3.5	-0.1	1.3	pk7: 6
#4Delino DeShieldslast yr '21 career totals — 7 seasons, 2,114 PA	3.2	2,114	19	111	246	327	342	+1	+6	5.3	5.3
/162	664	6	35	+0.4	+1.8	1.7	pk7: 5
#5Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.2	1,488	23	91	227	307	334	+16	+12	4.0	3.9
/162	664	10	41	+7.1	+5.4	1.8	pk7: 4
#6Chris Getzlast yr '13 career totals — 5 seasons, 1,539 PA	2.3	1,539	3	86	251	310	309	+5	+12	2.7	2.7
/162	664	1	37	+2.4	+5.1	1.2	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
Peyton Graham (OGILVIE)	25	50	40	55	40	229/314/334	105	310	4	31	26%	8%	88	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Max Schuemann 2022 · AAA	25	46→48	40→45	59→60	44	218/292/312	94	289	7	32	26%	7%	74	-0.5	225/316/336	111	307	10	25	28%	9%	88	+0.5	221/319/328	107	303	11	22	28%	10%	86	+0.2
●Alonzo Harris 2014 · AA	25	46→52	39→50	54→60	43	223/270/310	88	284	6	25	24%	6%	63	-1.3	208/260/297	89	277	6	22	26%	6%	57	-1.8	260/325/501	240	284	32	42	21%	8%	128	+3.1
✕José Caballero 2022 · AA	25	44→46	44→45	55→70	47	218/294/339	121	286	11	29	27%	8%	81	-0.1	224/328/338	114	288	11	41	24%	11%	94	+0.9	225/318/339	113	300	10	63	26%	9%	88	+0.3
✕Wes Rogers 2019 · AA	25	45→51	39→40	59→65	42	216/266/303	87	289	6	32	27%	6%	61	-1.5	199/257/281	82	305	6	17	34%	7%	53	-2.1	165/231/231	66	276	3	12	38%	7%	30	-1.8
✕Darren Ford 2011 · AA	25	46→53	40→45	59→65	43	220/276/319	99	300	7	31	28%	7%	68	-1.0	225/273/315	90	305	7	37	27%	6%	66	-1.1	222/271/297	74	301	6	49	27%	6%	58	-0.8
✕Tito Polo 2019 · AA	24	48→54	43→45	58→60	40	233/287/345	112	306	10	29	27%	5%	78	-0.3	222/270/323	101	291	8	20	25%	5%	67	-1.1	213/241/297	84	275	3	25	23%	3%	46	-0.5
✕D.J. Burt 2021 · AA	25	44→51	38→40	55→65	43	211/266/291	80	290	6	26	28%	7%	58	-1.7	235/300/318	83	320	5	36	26%	8%	77	-0.3	243/312/317	74	327	4	49	25%	9%	78	-0.1
✕Drew Stubbs 2010 · MLB	25	49→57	42→50	57→60	45	233/298/340	107	320	9	31	28%	8%	82	-0.0	237/307/368	131	324	14	32	29%	9%	92	+0.7	235/304/374	140	334	14	24	32%	9%	89	+0.4
✕Tyler Saladino 2014 · AAA	25	44→47	39→45	55	48	210/281/298	88	271	7	23	24%	8%	66	-1.1	238/289/340	102	291	9	23	20%	6%	78	-0.3	253/298/364	112	301	10	25	19%	5%	85	+0.2
✕Chad Hinshaw 2016 · AA	25	49→43	42→45	57→55	43	232/308/345	113	325	9	28	29%	7%	87	+0.4	202/270/301	99	299	8	19	33%	6%	63	-1.4	170/238/261	91	256	8	18	35%	6%	40	-1.4
✕Ryan LaMarre 2014 · AA	25	47→52	39→45	52→60	45	227/288/313	86	291	7	23	24%	6%	72	-0.7	219/273/317	98	296	9	17	28%	6%	67	-1.1	236/307/362	126	336	11	23	31%	7%	87	+0.2
✕Jared Oliva 2020 · AA	24	47→48	41→45	57→65	42	225/286/329	105	302	8	27	27%	6%	75	-0.5	218/271/318	100	303	7	24	29%	6%	66	-1.1	223/290/349	126	282	12	55	24%	7%	77	-0.2
✕Mario Lisson 2009 · AA	25	43→49	43→50	54→55	41	215/265/327	112	272	11	21	25%	5%	66	-1.1	210/257/336	126	274	14	15	28%	5%	65	-1.2	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Mauricio Dubón 2019 · AAA	25	51→59	41→50	53→55	43	246/282/349	103	292	8	25	19%	5%	77	-0.3	252/293/384	132	290	15	13	18%	5%	90	+0.6	256/302/388	132	291	16	11	18%	5%	91	+0.5
✕Daniel Carroll 2014 · AA	25	47→48	43→45	57→60	41	222/289/331	109	326	10	27	33%	7%	77	-0.3	199/276/280	81	301	6	22	33%	6%	61	-1.5	166/260/225	59	262	4	30	34%	6%	43	-1.6
✕Lane Adams 2015 · AA	25	46	43→45	57→60	43	224/279/338	114	287	10	27	25%	6%	74	-0.5	228/281/349	121	306	12	31	28%	6%	77	-0.3	227/280/350	123	310	14	36	30%	6%	74	-0.4
✕Delino DeShields 2019 · MLB	26	48→55	39→45	56→65	53	228/311/310	83	294	7	31	23%	10%	80	-0.1	230/309/324	94	304	7	28	24%	10%	82	+0.0	227/310/316	89	305	6	31	25%	10%	77	-0.2
✕Adam Engel 2017 · AAA	25	44→48	40→50	61→60	41	212/269/313	101	299	6	33	30%	6%	64	-1.3	206/264/323	117	289	10	20	31%	6%	65	-1.2	223/283/355	132	299	13	23	29%	5%	77	-0.2
✕Jonathan Davis 2017 · A	25	42→52	46→45	55	45	207/293/340	133	287	12	21	30%	8%	81	-0.1	221/300/334	113	289	9	19	25%	8%	82	-0.0	221/304/328	106	311	9	22	29%	9%	79	-0.1
✕Travis Jones 2021 · AA	25	48→51	40	52→55	40	222/298/311	88	320	8	21	31%	6%	76	-0.4	211/297/316	105	310	10	12	32%	9%	77	-0.3	181/288/271	90	268	10	10	33%	11%	61	-0.6

Career Stats + Projections

Career Comps

Career Path Comps