Tucker Toman — OGILVIE

Tucker TomanSS Vancouver Canadians

Age 22 S/R 6'0" / 207 lbs A+ Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION424 act + 9 ros · stats below = ROS only

showingROS

wRC+†60

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP282

ISO78

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE40

scouting grade only

SPEED40

scouting grade only

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	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-1	$0.8M	—	—	—
2034	Arb-2	$0.7M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.6M	+$0.0M

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	18	ROK	FCL Blue Jays	—	46	38	11	3	0	0	7	12	0	0	0	289	400	368	768	79	407	26	15	347	121	+1	+0	—	—	+1	0.2
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	86	-9	+1	—	—	+11	0.3
2024	20	A	Dunedin Blue Jays	—	326	289	64	12	2	4	27	104	7	5	2	221	303	318	622	97	326	32	8	284	78	-8	+0	—	—	+7	-0.1
2025	21	A+	Vancouver Canadians	—	53	43	13	2	0	0	6	12	3	0	0	302	423	349	772	47	406	23	11	357	128	+2	+0	—	—	+1	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	107	+3	+1	—	—	+8	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	FCL Blue Jays	—	46	41	8	2	0	0	4	17	0	0	0	195	267	244	511	49	331	37	9	251	56	-2	+0	—	—	+1	-0.1
2023	19	A MLE	Dunedin Blue Jays	—	503	447	73	20	2	3	44	189	9	7	1	163	252	237	489	74	268	38	9	226	39	-36	+1	—	—	+11	-2.5
2024	20	A MLE	Dunedin Blue Jays	—	326	295	52	10	1	3	21	142	7	5	2	176	248	247	495	71	315	44	6	226	39	-24	+0	—	—	+7	-1.7
2025	21	A+ MLE	Vancouver Canadians	—	53	45	11	2	0	0	4	18	3	0	0	244	346	289	635	44	345	34	8	269	68	-2	+0	—	—	+1	-0.1
2025	21	A MLE	Dunedin Blue Jays	—	371	332	67	14	1	4	27	135	8	5	0	202	278	286	564	84	307	36	7	248	54	-20	+1	—	—	+8	-1.2
2022	18	ROK MLE	FCL Blue Jays	—	46	41	8	2	0	0	4	17	0	0	0	195	267	244	511	49	320	37	9	251	56	—	—	—	—	—	—
2022	18	ROK RAW	FCL Blue Jays	—	46	38	11	3	0	0	7	12	0	0	0	289	400	368	768	79	407	26	15	347	56	—	—	—	—	—	—
2023	19	A MLE	Dunedin Blue Jays	—	503	447	73	20	2	3	44	189	9	7	1	163	252	237	489	74	271	38	9	226	39	—	—	—	—	—	—
2023	19	A RAW	Dunedin Blue Jays	—	503	428	89	24	3	5	63	135	9	7	1	208	322	313	635	105	289	27	13	295	39	—	—	—	—	—	—
2024	20	A MLE	Dunedin Blue Jays	—	326	295	52	10	1	3	21	142	7	5	2	176	248	247	495	71	320	44	6	226	39	—	—	—	—	—	—
2024	20	A RAW	Dunedin Blue Jays	—	326	289	64	12	2	4	27	104	7	5	2	221	303	318	622	97	326	32	8	284	39	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	424	378	77	15	1	4	30	153	11	5	0	204	282	280	562	77	323	36	7	251	56	—	—	—	—	—	—
2025	21	A RAW	2 teams	—	424	366	97	19	1	6	42	104	11	5	0	265	358	372	730	107	349	25	10	331	56	—	—	—	—	—	—
2022	18	ROK MLE	FCL Blue Jays	—	46	42	8	2	0	0	4	17	0	0	0	190	267	238	505	48	331	37	9	251	56	—	—	—	—	—	—
2023	19	A MLE	Dunedin Blue Jays	—	503	445	73	20	2	3	44	189	9	7	1	164	252	238	490	74	268	38	9	226	39	—	—	—	—	—	—
2024	20	A MLE	Dunedin Blue Jays	—	326	295	52	10	1	3	21	142	7	5	2	176	248	247	495	71	315	44	6	226	39	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	424	380	77	15	1	4	30	153	11	5	0	203	282	279	561	76	312	36	7	251	56	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	Dunedin Blue Jays	—	503	445	73	20	2	3	44	189	9	7	1	164	252	238	490	74	268	38	9	226	39	—	—	—	—	—	—
2024	20	A MLE	Dunedin Blue Jays	—	326	295	52	10	1	3	21	142	7	5	2	176	248	247	495	71	315	44	6	226	39	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	424	380	77	15	1	4	30	153	11	5	0	203	282	279	561	76	312	36	7	251	56	—	—	—	—	—	—
YTD	22	A+ MLE	TOR	—	424	373	77	13	1	9	38	144	10	5	2	206	297	319	616	113	305	34	9	275	72	-14	+0	+0	+5	+9	0.0
▸ 2026 season
YTD	22	A+ RAW	TOR	—	336	274	75	13	1	11	50	84	9	4	1	274	402	449	851	175	352	25	15	381	72	—	—	—	—	—	—
YTD	22	AA RAW	TOR	—	88	77	16	4	0	1	10	22	1	1	1	208	307	299	606	91	278	25	11	283	72	—	—	—	—	—	—
ROS	22	A+ MLE	TOR	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		280	33	11	257	60	-0	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	TOR	—	433	381	78	13	1	9	39	147	10	5	2	205	295	315	610	110	303	34	9	275	72	-14	+0	+0	+5	+9	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	TOR	35%	493	439	85	16	1	9	42	164	9	4	1	194	278	296	574	103	283	33	9	265	65	-20	+0	+0	+5	+11	-0.4
2028	24	MLB MLE	TOR	46%	529	469	94	17	1	11	46	170	9	4	1	200	284	311	596	111	285	32	9	273	71	-18	+0	+0	+6	+11	-0.1
2029	25	MLB MLE	TOR	52%	550	487	100	18	2	12	48	173	10	5	1	205	290	324	614	119	285	31	9	278	75	-17	+1	+0	+6	+12	0.2
2030	26	MLB MLE	TOR	54%	560	496	103	19	2	13	49	175	10	5	1	208	292	333	625	125	285	31	9	281	76	-16	+1	+0	+6	+12	0.3
2031	27	MLB MLE	TOR	54%	562	497	103	19	2	13	50	176	10	5	1	207	293	332	625	125	285	31	9	281	76	-16	+1	+0	+6	+12	0.3
2032	28	MLB MLE	TOR	54%	558	493	101	18	2	13	50	175	10	4	1	205	291	329	620	124	285	31	9	280	76	-16	+0	-1	+6	+12	0.2
2033	29	MLB MLE	TOR	58%	549	485	98	18	1	12	50	173	9	4	1	202	289	318	606	115	284	32	9	278	75	-17	+0	-1	+6	+12	0.0
2034	30	MLB MLE	TOR	60%	539	476	96	17	1	12	49	172	9	4	1	202	288	317	606	116	283	32	9	276	73	-17	+0	-2	+6	+12	-0.2
2027	23	MLB CTX	TOR	35%	170	151	29	5	0	3	14	56	3	1	0	192	274	285	559	93	285	33	8	252	65	-7	+0	+0	+2	+4	-0.1
2028	24	MLB CTX	TOR	46%	245	218	44	8	1	5	21	79	4	2	1	202	284	317	600	115	286	32	9	261	71	-8	+0	+0	+3	+5	-0.0
2029	25	MLB CTX	TOR	52%	284	252	51	9	1	6	25	89	5	2	1	202	287	317	605	115	287	31	9	266	75	-9	+0	+0	+3	+6	0.1
2030	26	MLB CTX	TOR	54%	304	269	56	10	1	7	27	95	5	3	1	208	292	331	623	123	287	31	9	269	76	-9	+0	+0	+3	+7	0.1
2031	27	MLB CTX	TOR	54%	305	270	56	10	1	7	27	95	5	3	1	207	291	330	621	122	287	31	9	269	76	-9	+0	+0	+3	+7	0.1
2032	28	MLB CTX	TOR	54%	303	268	55	10	1	7	27	95	5	2	1	205	290	328	618	123	286	31	9	268	76	-9	+0	-0	+3	+7	0.1
2033	29	MLB CTX	TOR	58%	316	279	57	10	1	7	29	100	5	2	1	204	291	323	613	118	286	32	9	266	75	-10	+0	-1	+3	+7	-0.0
2034	30	MLB CTX	TOR	60%	323	285	58	10	1	7	29	103	6	2	1	204	291	319	610	116	284	32	9	264	73	-10	+0	-1	+3	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2250	1992	406	72	7	49	199	712	38	17	7	204	288	321	609	117	287	32	9	265	67	-70	+1	-2	+24	+49	0.1
/ 162G	—	A+C		—	650	575	117	21	2	14	57	206	11	5	2	203	287	320	607	117	287	32	9	265	67	-20	+0	-1	+7	+14	0.0
Career	—	MLE		—	5648	5011	991	189	16	105	484	1882	103	52	11	198	282	305	587	107	290	33	9	267	67	-137	+4	-4	+47	+94	0.3
/ 162G	—	MLE		—	650	577	114	22	2	12	56	217	12	6	1	198	283	305	588	107	290	33	9	267	67	-21	+1	-1	+7	+14	0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#4Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.4	2,252	49	18	204	286	321	+24	+12	1.7	1.8
/162	664	14	5	+7.1	+3.5	0.5	pk7: 2

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	186/272/279	93	280	5	3	34%	8%	60	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brett Cumberland 2017 · A	22	38→40	39→45	37→30	36	184/254/271	87	287	7	4	36%	5%	51	-2.3	195/292/322	127	297	13	2	36%	7%	78	-0.3	185/293/318	133	280	15	0	36%	8%	76	-0.2
✕Elvis Perez 2018 · A	22	45	36→30	46→45	43	209/266/276	67	286	3	7	27%	6%	54	-2.0	201/245/293	92	285	7	6	31%	5%	51	-2.3	178/210/273	95	240	9	2	30%	4%	30	-1.2
✕Mack Chambers 2022 · A	22	42	37→40	45→50	44	199/258/274	76	267	4	7	26%	7%	51	-2.2	211/273/310	99	281	8	11	26%	7%	65	-1.2	201/269/297	95	262	9	13	25%	8%	59	-0.8
✕Joseph Rosa 2019 · A	22	40→44	37→40	45→50	41	192/249/259	67	277	6	14	32%	6%	45	-2.7	206/271/295	89	295	7	11	30%	7%	61	-1.5	205/280/300	95	298	7	14	31%	8%	64	-0.8
✕Braulio Vasquez 2021 · A	22	41	39→40	44→65	38	195/256/276	80	309	6	7	37%	6%	51	-2.2	207/280/301	94	303	7	30	31%	7%	67	-1.1	200/278/292	91	290	6	42	30%	7%	62	-0.6
✕Angelo Mora 2015 · A	22	41→51	37→45	43→45	40	198/244/270	72	270	4	9	28%	6%	45	-2.7	236/274/330	94	309	5	6	24%	5%	70	-0.9	250/284/351	101	320	5	4	23%	4%	74	-0.4
✕Stephen Perez 2014 · A	23	41→48	38→30	40→50	39	197/244/276	79	280	5	6	31%	5%	46	-2.6	207/269/276	69	279	4	14	25%	8%	56	-1.9	201/276/258	56	272	5	15	26%	8%	53	-0.9
✕Julio Garcia 2019 · A	22	40→36	37→40	40	32	192/222/265	73	293	5	4	36%	3%	35	-3.4	179/217/247	68	312	5	5	42%	4%	29	-3.8	92/127/108	16	197	0	0	51%	2%	-39	-2.4
✕Willy Diaz 2016 · A	22	39	38→40	43→40	46	187/275/268	81	281	6	3	33%	9%	58	-1.7	189/257/267	78	337	4	5	41%	7%	50	-2.3	169/224/243	75	318	2	4	44%	5%	29	-1.2
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Alvaro Gonzalez 2023 · A	22	37	38→30	41→40	40	175/261/255	80	292	6	4	39%	8%	51	-2.3	178/262/263	85	293	7	6	38%	8%	52	-2.2	118/211/171	53	191	3	5	36%	8%	11	-1.1
✕Luis Alejandro Basabe 2019 · A	22	43→49	38→40	43→50	44	203/265/285	82	292	5	9	30%	8%	57	-1.8	210/280/291	81	315	6	11	32%	9%	63	-1.3	198/273/278	80	308	6	12	35%	9%	56	-1.3
✕Alex Todd 2012 · A	22	39	37→40	44→45	39	187/248/259	72	259	4	4	28%	5%	45	-2.7	223/289/310	87	301	6	6	26%	6%	72	-0.7	241/310/327	86	323	6	5	25%	5%	81	-0.0
✕Jan Vázquez 2012 · A	21	41	36→40	45	39	191/252/258	67	290	3	5	33%	6%	46	-2.6	201/256/276	75	287	7	7	31%	5%	51	-2.2	215/293/302	88	284	7	7	25%	7%	69	-0.3
✕Trevor Coleman 2011 · A	23	38	41→40	42→40	40	192/247/284	92	253	9	5	27%	5%	50	-2.3	209/285/309	100	269	9	6	24%	9%	70	-0.8	205/292/297	91	260	9	3	23%	11%	68	-0.6
✕Jose Herrera 2019 · A	22	41	38→40	45→40	43	199/241/278	80	247	5	3	22%	5%	45	-2.7	208/285/306	98	280	8	5	26%	10%	70	-0.9	210/292/298	88	277	8	3	26%	10%	69	-0.5
✕Deivi Estrada 2022 · A	21	45	36→30	46→50	45	208/280/278	70	304	4	8	30%	8%	61	-1.5	185/243/254	69	327	4	8	41%	7%	41	-3.0	144/186/202	58	310	3	4	52%	4%	5	-1.1
✕Rey Bruguera 2015 · A	23	42	38→40	43→50	40	202/254/274	73	290	5	6	31%	6%	49	-2.4	192/257/261	69	297	5	5	34%	8%	49	-2.4	153/233/192	40	244	2	0	35%	9%	22	-1.8
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Kyle Overstreet 2016 · A	22	40→46	37→40	42→30	45	191/256/261	70	267	4	4	28%	8%	48	-2.5	226/281/319	93	286	8	3	22%	7%	70	-0.8	229/273/318	89	279	9	1	21%	5%	64	-0.8

Career Stats + Projections

Career Comps

Career Path Comps