Tucker Toman — OGILVIE

Tucker TomanSS Vancouver Canadians

Age 22 S/R 6'0" / 207 lbs A+ HR +12%BB +4% Svc 0.0 · Ctrl thru 2035 peak 0.8 · 2030

wRC+†73

AVG/OBP/SLG.177 / .255 / .258

PA320

HR4

K%38

BB%8

MLB%0%

Scouting · now → future

HIT

40→40

PWR

30→30

SPD

40→40

EYE

47↘40

trajectory · 10 yrs

0.9peak

2031

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 2036

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	Pre-Arb	$0.9M	+0.8	$4M	+$3M
2031	Pre-Arb	$0.9M	+0.8	$4M	+$3M
2032	Pre-Arb	$0.9M	+0.8	$4M	+$3M
2033	Arb-1	$1M	+0.5	$2M	+$1M
2034	Arb-2	$1M	+0.3	$2M	+$0.5M
2035	Arb-3	$7M	—	—	—
Totals		$5M		$15M	+$10M

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	18	ROK	FCL Blue Jays	46	40	8	2	0	0	5	17	0	0	0	.200	.289	.250	.539	.050	.333	37	11	.253	52	-3	+0	+0	+0	+1	-0.1
2023	19	A	Dunedin Blue Jays	503	446	72	20	2	3	45	189	9	7	1	.161	.252	.235	.487	.074	.268	38	9	.228	33	-38	+1	+0	+5	+14	-1.8
2024	20	A	Dunedin Blue Jays	326	295	52	10	1	3	21	141	7	5	2	.176	.248	.247	.495	.071	.318	43	6	.228	33	-25	+0	+0	+3	+9	-1.2
2025	21	A	2 teams	424	378	77	15	1	4	30	152	11	5	0	.204	.282	.280	.562	.077	.322	36	7	.252	51	-23	+1	+0	+5	+12	-0.6
▸ 2026 Season (actual · ROS · total)
2026	22	A+	Vancouver Canadians	57	47	15	2	1	2	7	18	2	0	0	.319	.429	.532	.960	.213	.464	32	12	.374	144	+3	+0	+0	+1	+2	0.5
ROS	22	MLB	TOR	263	234	46	9	1	4	21	97	6	2	0	.197	.280	.295	.575	.098	.309	37	8	.260	58	-13	+0	+0	+3	+7	-0.2
TOT	22	MLB	TOR	320	281	61	11	2	6	28	115	8	2	0	.217	.306	.335	.641	.117	.340	36	9	.281	73	-10	+0	+0	+3	+9	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	TOR	477	424	84	16	2	7	40	166	10	5	1	.198	.283	.295	.578	.097	.306	35	8	.267	62	-20	+1	+0	+5	+14	-0.1
2028	24	MLB 26%	TOR	518	458	94	18	2	9	45	174	10	6	1	.205	.290	.312	.603	.107	.306	34	9	.277	70	-18	+1	+0	+6	+15	0.4
2029	25	MLB 44%	TOR	543	479	101	19	3	10	48	179	11	6	1	.211	.297	.326	.623	.115	.306	33	9	.283	75	-15	+1	+0	+6	+15	0.7
2030	26	MLB 59%	TOR	555	489	104	20	3	11	50	181	11	6	1	.213	.300	.333	.633	.121	.307	33	9	.286	77	-14	+1	+0	+6	+16	0.8
2031	27	MLB 76%	TOR	559	492	104	20	3	11	51	183	11	6	1	.211	.300	.331	.631	.120	.307	33	9	.286	77	-14	+1	+0	+6	+16	0.8
2032	28	MLB 84%	TOR	556	489	104	20	3	11	51	183	11	6	0	.213	.301	.333	.635	.121	.306	33	9	.285	76	-15	+1	-1	+6	+16	0.8
2033	29	MLB 90%	TOR	548	482	99	19	2	10	51	182	10	5	0	.205	.295	.315	.610	.110	.305	33	9	.283	75	-16	+1	-1	+6	+16	0.5
2034	30	MLB	TOR	538	473	98	19	2	10	50	181	10	4	0	.207	.296	.319	.616	.112	.304	34	9	.280	72	-17	+1	-2	+6	+15	0.3
2035	31	MLB	TOR	524	461	93	18	2	9	48	178	10	3	0	.202	.291	.308	.599	.106	.302	34	9	.276	69	-18	+1	-3	+6	+15	0.0
2036	32	MLB	TOR	506	445	89	17	2	8	47	175	9	1	0	.200	.289	.301	.591	.101	.301	35	9	.272	66	-19	+0	-4	+5	+14	-0.3
2037	33	MLB	TOR	477	421	81	15	2	7	44	168	9	1	0	.192	.283	.287	.570	.095	.299	35	9	.266	62	-21	+0	-4	+5	+14	-0.6
2038	34	MLB	TOR	430	380	72	13	2	6	39	155	8	1	0	.189	.279	.282	.560	.092	.297	36	9	.260	57	-21	+0	-5	+5	+12	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			7793	6886	1378	270	33	123	686	2701	153	69	8	.200	.287	.302	.589	.102	.306	35	9	.270	65	-309	+11	-20	+83	+221	-1.4
/ 162G	—			650	574	115	23	3	10	57	225	13	6	1	.200	.287	.303	.590	.103	.306	35	9	.270	65	-26	+1	-2	+7	+18	-0.1

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	18	ROK	FCL Blue Jays	46	38	11	3	0	0	7	12	0	0	0	.289	.400	.368	.768	.079	.407	26	15	.347	124	+1	+0	—	—	+1	0.3
2023	19	A	Dunedin Blue Jays	503	428	89	24	3	5	63	135	9	7	1	.208	.322	.313	.635	.105	.289	27	13	.295	84	-9	+1	—	—	+14	0.6
2024	20	A	Dunedin Blue Jays	326	289	64	12	2	4	27	104	7	5	2	.221	.303	.318	.622	.097	.326	32	8	.284	75	-9	+0	—	—	+9	0.0
2025	21	A+	Vancouver Canadians	53	43	13	2	0	0	6	12	3	0	0	.302	.423	.349	.772	.047	.406	23	11	.357	131	+2	+0	—	—	+2	0.3
2025	21	A	Dunedin Blue Jays	371	323	84	17	1	6	36	92	8	5	0	.260	.349	.375	.723	.115	.341	25	10	.327	108	+3	+1	—	—	+11	1.5

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
Tucker Toman (OGILVIE)	22	40	30	40	40	.177/.255/.258	.081	.289	4	3	38%	8%	42	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Braulio Vasquez 2021 · A	22	40	39→40	44→65	37	.193/.250/.274	.080	.298	7	7	36%	6%	42	-2.3	.205/.278/.298	.093	.301	7	29	32%	7%	61	-1.0	.200/.277/.293	.093	.287	7	42	30%	7%	55	-0.6
✕Brett Cumberland 2017 · A	22	39	39→50	38→30	36	.187/.257/.275	.088	.292	7	4	36%	6%	46	-2.0	.195/.290/.326	.131	.297	14	2	37%	7%	76	+0.0	.186/.292/.325	.139	.279	16	0	36%	8%	74	-0.0
✕Alvaro Gonzalez 2023 · A	22	38	39→30	41→40	40	.178/.264/.260	.081	.294	6	4	38%	8%	46	-2.0	.178/.263/.263	.085	.294	7	6	38%	8%	46	-2.0	.119/.212/.173	.054	.192	3	5	37%	8%	-1	-1.1
✕Julio Garcia 2019 · A	22	40→37	37→40	41→40	33	.195/.228/.270	.075	.290	5	4	34%	4%	30	-3.1	.179/.216/.246	.067	.306	4	5	41%	4%	19	-3.9	.092/.127/.108	.016	.197	0	0	51%	2%	-57	-2.5
✕Jan Vázquez 2012 · A	21	41	36→40	45	38	.190/.252/.256	.066	.290	3	5	34%	6%	38	-2.6	.202/.258/.278	.076	.288	7	7	31%	5%	46	-2.0	.217/.296/.306	.089	.289	8	7	26%	7%	67	-0.2
✕Riley Unroe 2018 · AA	22	40→47	37→45	46→55	44	.192/.258/.257	.065	.276	4	12	30%	8%	41	-2.3	.204/.270/.291	.087	.291	7	12	30%	8%	55	-1.4	.221/.306/.342	.121	.297	13	26	28%	10%	80	+0.2
✕Carlos Ozuna 2015 · A	22	41	36→30	45→50	36	.192/.239/.259	.067	.290	3	7	33%	5%	33	-2.9	.194/.239/.272	.078	.303	4	5	35%	5%	36	-2.7	.161/.195/.230	.069	.250	3	2	36%	3%	5	-1.1
✕Willy Diaz 2016 · A	22	39	38→40	43→40	46	.186/.274/.266	.080	.279	6	4	32%	9%	52	-1.6	.188/.257/.266	.078	.330	4	5	41%	7%	43	-2.2	.169/.224/.243	.075	.318	2	4	44%	5%	20	-1.2
✕Dayan Frias 2023 · A	21	44→41	39→40	45→50	42	.205/.275/.286	.081	.316	6	6	35%	8%	56	-1.3	.201/.273/.297	.096	.291	8	9	31%	8%	58	-1.2	.186/.263/.281	.095	.265	9	12	31%	9%	48	-1.3
✕Raymel Flores 2017 · A	22	42	38→45	46→50	38	.202/.253/.277	.075	.298	6	10	33%	6%	43	-2.2	.191/.243/.255	.064	.289	3	11	33%	5%	33	-2.9	.160/.211/.201	.042	.245	0	13	33%	5%	2	-1.3
✕Luis Reynoso 2016 · A	21	42	36→30	43→50	38	.196/.249/.254	.058	.305	4	6	36%	6%	36	-2.7	.199/.255/.261	.062	.344	4	6	40%	6%	40	-2.4	.160/.221/.188	.028	.313	0	3	45%	6%	5	-1.1
✕Juan Zabala 2021 · A	22	39	38→40	47→50	37	.185/.248/.266	.081	.290	6	5	36%	6%	40	-2.4	.211/.273/.305	.094	.302	9	13	31%	7%	60	-1.0	.203/.265/.285	.083	.283	8	16	30%	7%	48	-0.8
✕Chris Mariscal 2016 · A	23	42→49	37→40	43→45	39	.198/.258/.266	.067	.305	4	6	34%	7%	43	-2.2	.226/.284/.314	.088	.332	6	6	31%	7%	66	-0.6	.231/.292/.323	.092	.331	7	5	30%	7%	70	-0.3
✕Javier Santana 2009 · A	22	38	34→30	40→45	44	.174/.260/.216	.042	.285	2	7	36%	9%	33	-2.9	.192/.253/.253	.061	.303	3	6	35%	6%	37	-2.6	.177/.227/.213	.036	.299	2	7	39%	4%	14	-1.3
✕Zack Raabe 2022 · A	22	45	37→30	45	43	.205/.278/.272	.067	.321	5	6	35%	9%	53	-1.5	.202/.287/.265	.063	.284	2	7	27%	10%	56	-1.3	.187/.286/.237	.050	.259	0	7	24%	11%	48	-1.1
✕Stephen Perez 2014 · A	23	39→48	38→30	40→50	38	.193/.236/.273	.080	.270	6	6	30%	5%	35	-2.8	.206/.267/.276	.070	.279	4	13	25%	7%	49	-1.8	.204/.279/.264	.060	.279	5	15	27%	9%	50	-0.8
✕Yeison Santana 2022 · A	21	44	38→30	45→55	39	.206/.265/.282	.076	.318	5	10	35%	7%	50	-1.7	.218/.286/.280	.062	.312	3	15	28%	8%	59	-1.1	.226/.306/.267	.041	.308	2	22	25%	9%	60	-0.5
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	40	.203/.258/.301	.098	.286	8	8	31%	6%	52	-1.6	.200/.266/.289	.089	.294	8	9	32%	7%	53	-1.5	.183/.256/.260	.077	.269	7	8	32%	8%	40	-1.1
✕Daurys Mercedes 2012 · A	22	43	36→45	47→45	41	.194/.262/.261	.067	.311	2	7	36%	8%	43	-2.2	.177/.242/.244	.067	.332	3	6	44%	7%	31	-3.0	.130/.204/.185	.055	.260	2	4	47%	7%	-2	-1.7
✕Alex Todd 2012 · A	22	40	37→40	45	39	.190/.251/.264	.074	.264	4	5	28%	5%	40	-2.4	.220/.285/.306	.086	.297	6	6	26%	5%	66	-0.6	.237/.305/.323	.086	.317	6	5	25%	5%	76	+0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)