Peyton Williams — OGILVIE

Peyton Williams1B Dunedin Blue Jays

Age 25 L/L 6'5" / 255 lbs A HR +12%BB +4% Svc 0.0 · Ctrl thru 2036 peak 0.2 · 2026

wRC+†95

AVG/OBP/SLG.196 / .254 / .322

PA313

HR8

K%36

BB%7

MLB%0%

Scouting · now → future

HIT

30→30

PWR

45→45

SPD

40→40

EYE

43↘35

trajectory · 10 yrs

-0.4peak

2028

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$1.0M	—	—	—
2034	Ext / FA-deal	$0.2M	—	—	—
2035	Ext / FA-deal	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$-1M		$-29M	-$28M

Underwater contract
Projected production over the remaining contract is worth -$28M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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	Dunedin Blue Jays	123	105	22	3	0	2	15	46	2	0	0	.210	.320	.295	.615	.086	.345	37	12	.273	67	-5	+0	+0	-2	+3	-0.3
2023	22	A	2 teams	339	304	62	12	1	9	23	108	9	3	2	.204	.280	.339	.619	.135	.279	32	7	.271	65	-13	-0	+0	-6	+10	-1.0
2024	23	A+	3 teams	443	404	91	19	1	10	32	140	2	0	0	.225	.285	.351	.637	.126	.313	32	7	.281	73	-13	+0	+0	-8	+13	-0.9
2025	24	AA	New Hampshire Fisher Cats	329	308	56	9	1	8	18	139	1	0	0	.182	.229	.295	.525	.114	.294	42	5	.229	33	-25	+0	+0	-6	+9	-2.2
▸ 2026 Season (actual · ROS · total)
2026	25	A	2 teams	56	44	17	3	1	1	8	14	1	0	0	.386	.491	.568	1.059	.182	.500	25	14	.434	190	+6	+0	+0	-1	+2	0.6
ROS	25	MLB	TOR	257	234	50	9	1	6	19	89	2	1	0	.214	.278	.338	.616	.124	.313	35	7	.282	74	-8	+0	+0	-5	+7	-0.5
TOT	25	MLB	TOR	313	278	67	12	2	7	27	103	3	1	0	.241	.315	.374	.689	.133	.349	33	9	.309	95	-2	+0	+0	-6	+9	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	26	MLB 10%	TOR	342	309	68	12	2	9	27	110	3	2	1	.220	.289	.359	.648	.139	.304	32	8	.287	78	-9	+0	+0	-6	+10	-0.5
2028	27	MLB 25%	TOR	373	337	74	13	2	10	30	118	3	3	1	.220	.289	.359	.648	.139	.303	32	8	.290	80	-8	+0	+0	-7	+11	-0.4
2029	28	MLB 36%	TOR	391	353	78	14	2	10	32	123	3	3	1	.221	.291	.357	.648	.136	.302	31	8	.290	80	-9	+0	-1	-7	+11	-0.5
2030	29	MLB 46%	TOR	394	356	78	14	2	10	32	124	3	3	0	.219	.289	.354	.643	.135	.301	31	8	.289	80	-9	+1	-1	-7	+11	-0.6
2031	30	MLB 55%	TOR	394	356	78	14	2	10	32	125	3	3	0	.219	.289	.354	.643	.135	.300	32	8	.286	77	-10	+1	-2	-7	+11	-0.8
2032	31	MLB 72%	TOR	384	347	73	13	1	9	31	124	3	2	0	.210	.281	.331	.612	.121	.298	32	8	.282	74	-11	+0	-3	-7	+11	-1.0
2033	32	MLB 90%	TOR	368	332	69	12	1	9	30	121	3	1	0	.208	.279	.331	.611	.123	.297	33	8	.278	71	-12	+0	-4	-7	+10	-1.2
2034	33	MLB	TOR	340	307	63	11	1	8	27	114	3	1	0	.205	.276	.326	.602	.121	.295	34	8	.272	67	-13	+0	-4	-6	+10	-1.4
2035	34	MLB	TOR	297	269	53	9	1	6	24	102	2	1	0	.197	.268	.305	.573	.108	.294	34	8	.266	62	-13	+0	-5	-5	+8	-1.5
▸ Career Totals (MLE all levels + projections)
Career	—			4774	4321	915	164	18	116	372	1583	42	23	5	.212	.281	.339	.619	.127	.301	33	8	.278	71	-158	+3	-20	-85	+135	-12.7
/ 162G	—			650	588	124	22	2	16	51	216	6	3	1	.211	.281	.337	.617	.126	.300	33	8	.278	71	-21	+0	-3	-12	+18	-1.7

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	Dunedin Blue Jays	123	99	24	3	0	2	21	33	2	0	0	.242	.385	.333	.719	.091	.338	27	17	.336	115	+2	+0	—	—	+3	0.6
2023	22	A+	Vancouver Canadians	147	129	31	4	0	7	13	37	4	0	0	.240	.329	.434	.763	.194	.279	25	9	.339	117	+3	+0	—	—	+4	0.7
2023	22	A	Dunedin Blue Jays	192	164	45	10	1	7	21	41	5	3	2	.274	.374	.476	.849	.201	.322	21	11	.374	144	+10	-0	—	—	+5	1.5
2024	23	A+	Vancouver Canadians	334	294	85	20	1	11	35	76	1	0	0	.289	.367	.476	.843	.187	.351	23	10	.369	141	+15	+0	—	—	+9	2.5
2024	23	ROK	FCL Blue Jays	16	10	4	2	0	0	5	1	1	0	0	.400	.625	.600	1.225	.200	.444	6	31	.538	269	+3	+0	—	—	+0	0.4
2024	23	INTL	Scottsdale Scorpions	93	84	24	4	1	3	8	23	0	0	0	.286	.348	.464	.812	.179	.356	25	9	.355	130	+3	+0	—	—	+3	0.6
2025	24	AA	New Hampshire Fisher Cats	329	300	65	12	1	9	26	105	1	0	0	.217	.281	.353	.635	.137	.298	32	8	.284	76	-9	+0	—	—	+9	0.0

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 Williams (OGILVIE)	25	30	45	40	35	.196/.254/.322	.126	.287	8	2	36%	7%	58	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gabe Matthews 2023 · AAA	25	37→41	48→50	47→40	41	.188/.271/.327	.138	.287	15	5	38%	8%	66	-0.6	.206/.299/.338	.132	.309	15	5	35%	9%	82	+0.5	.200/.311/.326	.126	.298	15	2	34%	11%	81	+0.3
✕Will Robertson 2023 · AA	25	39→42	47→55	39→45	37	.196/.258/.331	.135	.292	14	5	36%	6%	61	-1.0	.202/.263/.363	.161	.288	19	6	35%	7%	72	-0.2	.198/.263/.366	.168	.274	20	5	35%	7%	70	-0.2
✕David Washington 2016 · AA	25	39→37	49→55	42→45	36	.196/.255/.339	.143	.316	17	5	42%	7%	62	-0.9	.207/.267/.378	.171	.339	22	6	43%	7%	77	+0.1	.203/.265/.391	.188	.323	26	6	43%	8%	76	+0.1
●Drew Lugbauer 2022 · AA	25	33→32	54→65	43→30	32	.180/.237/.349	.169	.302	23	3	47%	6%	58	-1.2	.192/.263/.395	.203	.335	29	2	48%	8%	81	+0.4	.176/.250/.377	.201	.299	30	1	49%	8%	67	-0.4
✕Kyle Martin 2018 · AA	25	35→37	48→50	44→40	39	.189/.246/.326	.138	.253	17	4	32%	6%	55	-1.4	.180/.241/.300	.120	.254	13	5	33%	7%	46	-2.0	.161/.228/.294	.133	.225	15	1	35%	7%	38	-1.5
✕Jerry Downs 2019 · A	25	38→33	45	42→40	38	.197/.271/.318	.121	.262	14	4	30%	5%	64	-0.8	.180/.249/.275	.095	.265	9	4	34%	5%	43	-2.2	.121/.191/.177	.057	.198	4	0	38%	5%	-9	-2.5
✕John Silviano 2019 · AA	25	38→35	49→50	43→40	37	.196/.255/.343	.147	.300	18	4	39%	7%	63	-0.8	.187/.244/.309	.122	.302	14	5	40%	7%	50	-1.8	.118/.170/.205	.087	.201	10	0	45%	6%	-12	-2.3
✕Neil Medchill 2012 · A	25	36→27	47→50	45	38	.184/.250/.313	.129	.297	16	7	42%	8%	53	-1.5	.203/.256/.328	.125	.338	15	7	41%	6%	59	-1.1	.198/.246/.315	.117	.332	14	5	42%	6%	48	-0.8
✕Ross Adolph 2022 · AA	25	41→33	44→45	44→50	39	.192/.273/.308	.117	.318	12	8	40%	8%	62	-0.9	.208/.312/.331	.123	.364	12	11	42%	10%	85	+0.7	.191/.333/.297	.106	.358	9	16	41%	13%	84	+0.3
✕Eric Jagielo 2017 · AA	25	40→35	46→45	46→30	38	.201/.265/.327	.126	.295	15	2	36%	6%	63	-0.8	.183/.246/.281	.098	.271	10	3	34%	6%	43	-2.2	.160/.225/.251	.090	.235	10	1	35%	6%	24	-2.4
✕Michael Burgess 2014 · AA	25	37→42	47→55	43→45	43	.196/.255/.332	.136	.253	15	2	29%	7%	60	-1.0	.218/.260/.369	.151	.281	15	6	28%	5%	71	-0.3	.247/.281/.443	.195	.300	19	6	24%	4%	100	+1.1
✕Dillon Paulson 2022 · AA	25	45→36	45→50	45→30	46	.215/.290/.340	.125	.311	12	5	33%	10%	76	+0.1	.223/.290/.346	.123	.284	12	5	25%	8%	78	+0.2	.219/.282/.320	.101	.286	8	0	25%	8%	64	-0.3
✕Landon Stephens 2023 · AA	25	32→29	51→55	42→40	38	.174/.254/.327	.153	.277	20	5	43%	8%	59	-1.1	.190/.273/.382	.192	.303	27	5	44%	9%	82	+0.5	.166/.260/.397	.231	.247	35	2	47%	10%	77	+0.1
✕Nelson Perez 2013 · AA	25	43→44	46→55	44→40	35	.207/.262/.341	.133	.329	14	6	40%	6%	65	-0.7	.233/.290/.400	.167	.311	21	6	31%	7%	92	+1.2	.261/.317/.469	.207	.300	30	0	24%	7%	122	+1.8
✕Mitch Walding 2018 · AA	25	40→45	46→50	43→40	40	.197/.268/.326	.129	.309	14	4	39%	8%	64	-0.8	.202/.291/.355	.153	.332	18	4	41%	10%	82	+0.5	.182/.280/.329	.147	.322	19	3	45%	11%	69	-0.2
✕Greyson Jenista 2021 · AA	24	41→34	42→50	40→45	40	.198/.258/.300	.101	.297	10	5	35%	7%	52	-1.6	.192/.254/.362	.170	.309	24	7	43%	7%	68	-0.5	.172/.234/.356	.184	.260	28	6	45%	7%	55	-0.8
✕Jhalan Jackson 2018 · AA	25	39→32	47→50	40→45	39	.196/.258/.330	.133	.291	14	6	36%	7%	60	-1.0	.189/.253/.331	.142	.320	17	7	43%	7%	59	-1.1	.155/.228/.302	.147	.272	20	8	48%	7%	39	-1.6
✕Brock Lundquist 2021 · AA	25	43→45	44→50	45	41	.213/.275/.332	.119	.291	12	6	30%	7%	68	-0.5	.205/.273/.320	.115	.355	12	7	42%	7%	64	-0.8	.150/.234/.245	.096	.295	15	0	50%	8%	30	-0.7
✕Brandon Wagner 2021 · AA	25	38→46	44→45	47→30	41	.186/.271/.295	.109	.301	12	4	39%	8%	58	-1.2	.190/.271/.284	.094	.349	10	7	44%	9%	55	-1.4	.139/.241/.201	.062	.279	9	3	48%	11%	20	-1.2
✕Kiel Roling 2012 · AA	25	40→36	51→55	41→30	37	.211/.261/.369	.158	.292	20	3	34%	6%	72	-0.2	.208/.256/.367	.159	.286	20	3	34%	6%	69	-0.4	.201/.247/.367	.166	.264	22	1	33%	5%	64	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)