Hayden Gilliland

C Vancouver Canadians

Age 25 L/R 5'11" / 206 lbs A+ Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP35OGV rank#1807ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	23	A+/ATOR	122	.200/.328/.350	3	0	37	—	.151/.244/.274
2026	24	AA/A+2 orgs	165	.250/.378/.441	6	0	73	—	.187/.293/.311
2027PROJMLE	25	MLBTOR	215	.199/.289/.326	5	3	76	0.2
2028PROJ30% MLB	26	MLBTOR	48	.202/.291/.331	1	1	77	0.1
2029PROJ42% MLB	27	MLBTOR	84	.203/.292/.332	2	1	77	0.1

Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Ext$0.9M2032Ext$0.9M2033Ext$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2026 AA

ISO93

wOBA91

wRC+91

Z-Con%77

Chase%73

Whiff%51

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsTristan Gray (age 25) · Daniel Vellojin (age 24) · Andy Yerzy (age 25)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 100 proj PA

wRC+†76

AVG/OBP/SLG.197 / .287 / .323

PA100

HR2

K%29

BB%10

ISO127

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · ContractCON 20 / POW 45

Toolsscout grade

CONTACT20

scouting grade only

POWER45

scouting grade only

EYE59

scouting grade only

SPEED42

scouting grade only

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
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	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2025	23	A+	Vancouver Canadians	—	83	68	14	3	0	2	13	28	0	0	0	206	333	338	672	132	300	34	16	304	40	—	—	—	—	—	—
2025	23	A	Dunedin Blue Jays	—	39	32	6	3	0	1	6	10	0	0	0	188	316	375	691	188	227	26	15	306	32	—	—	—	—	—	—
2026	24	AA	Tulsa Drillers	—	50	44	13	3	0	3	5	14	1	0	0	295	380	568	948	273	370	28	10	413	102	—	—	—	—	—	—
2026	24	A+	Vancouver Canadians	—	115	92	21	5	0	3	21	28	1	0	0	228	377	380	758	152	290	24	18	346	61	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	23	A+ MLE	Vancouver Canadians	—	83	72	11	2	0	2	9	39	0	0	0	153	247	264	511	111	264	47	11	227	40	—	—	—	—	—	—
2025	23	A MLE	Dunedin Blue Jays	—	39	34	5	2	0	1	4	14	0	0	0	147	237	294	531	147	184	36	10	216	32	—	—	—	—	—	—
2026	24	AA MLE	Tulsa Drillers	—	50	46	10	2	0	2	4	17	1	0	0	217	300	391	691	174	324	34	8	319	102	—	—	—	—	—	—
2026	24	A+ MLE	Vancouver Canadians	—	115	98	17	4	0	2	15	38	1	0	0	173	289	276	565	102	239	33	13	258	61	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	122	106	16	5	0	2	13	53	0	0	0	151	244	255	498	104	259	43	11	223	37	—	—	—	—	—	—
2025	23	A+ RAW	2 teams	—	122	100	20	6	0	3	19	38	0	0	0	200	328	350	678	150	274	31	16	305	37	—	—	—	—	—	—
2026	24	A+ MLE	2 teams	—	165	144	28	6	0	5	18	55	2	0	0	194	293	340	633	146	271	33	11	276	73	—	—	—	—	—	—
2026	24	A+ RAW	2 teams	—	165	136	34	8	0	6	26	42	2	0	0	250	378	441	819	191	315	25	16	366	73	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	122	108	16	5	0	2	13	53	0	0	0	148	244	250	494	102	238	43	11	223	37	—	—	—	—	—	—
2026	24	A+ MLE	2 teams	—	165	144	28	6	0	5	18	55	2	0	0	194	293	340	633	146	265	33	11	276	73	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	23	A+ MLE	2 teams	—	122	108	16	5	0	2	13	53	0	0	0	148	244	250	494	102	238	43	11	223	37	—	—	—	—	—	—
2026	24	A+ MLE	2 teams	—	165	144	28	6	0	5	18	55	2	0	0	194	293	340	633	146	265	33	11	276	73	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	TOR	0%	215	189	38	7	1	5	22	62	2	3	1	199	289	326	616	127	263	29	10	280	76	-6	+0	+0	+4	+5	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	26	MLB MLE	TOR	30%	160	141	28	5	1	4	16	46	2	2	1	201	291	330	621	129	264	29	10	282	77	-4	+0	+0	+3	+3	0.2
2029	27	MLB MLE	TOR	42%	202	178	36	7	1	5	20	57	2	3	1	202	291	331	623	129	265	28	10	283	77	-5	+0	+0	+4	+4	0.3
2030	28	MLB MLE	TOR	48%	235	207	43	8	1	6	24	66	2	2	1	203	291	331	621	128	265	28	10	282	77	-6	+0	-1	+4	+5	0.2
2028	26	MLB CTX	TOR	30%	48	43	9	2	0	1	5	14	0	1	0	202	291	331	622	129	265	29	10	283	77	-1	+0	+0	+1	+1	0.1
2029	27	MLB CTX	TOR	42%	84	74	15	3	0	2	9	24	1	1	0	203	292	332	624	129	266	29	11	283	77	-2	+0	+0	+1	+2	0.1
2030	28	MLB CTX	TOR	48%	112	99	20	4	0	3	11	32	1	1	0	203	291	331	623	128	266	29	10	283	77	-3	+0	-0	+2	+2	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	244	216	44	9	0	6	25	70	2	3	0	204	292	329	621	125	270	29	10	283	71	-7	+1	-0	+4	+5	0.3
/ 162G	—	A+C		—	650	575	117	24	0	16	67	186	5	8	0	203	292	329	621	125	269	29	10	283	71	-18	+2	-1	+12	+14	0.9
Career	—	MLE		—	984	865	167	34	3	24	101	306	9	9	3	193	284	323	607	129	264	31	10	274	71	-19	+1	-1	+12	+15	0.8
/ 162G	—	MLE		—	650	571	110	22	2	16	67	202	6	6	2	193	284	322	606	130	263	31	10	274	71	-18	+1	-1	+12	+14	0.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 A+Vancouver Canadians · 115 PAwOBA .341 → .258 (−83)K% 24.3% → 32.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.35%	÷1.000	×1.350	—	—	32.87%
BB% (unintentional) /PA	18.26%	÷1.000	×0.710	—	×0.978	12.68%
HBP% /PA	0.87%	—	×0.810	—	×0.978	0.69%
Singles /BIP	20.31%	÷1.000	×0.910	×0.959	×0.978	17.33%
Doubles /BIP	7.81%	÷1.000	×0.830	×0.959	×0.978	6.08%
Triples /BIP	0.00%	÷1.000	×0.820	×0.959	×0.978	0.00%
Home runs /BIP	4.69%	÷1.000	×0.830	—	×0.978	3.81%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.959.

Result: wOBA .341 → .258; ISO .152 → .118; BABIP .290 → .239. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 AATulsa Drillers · 50 PAwOBA .402 → .319 (−82)K% 28.0% → 34.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.00%	÷1.000	×1.220	—	—	34.16%
BB% (unintentional) /PA	10.00%	÷1.000	×0.700	—	×0.998	6.99%
HBP% /PA	2.00%	—	×0.870	—	×0.998	1.74%
Singles /BIP	23.33%	÷1.000	×0.920	—	×0.998	21.42%
Doubles /BIP	10.00%	÷1.000	×0.840	—	×0.998	8.38%
Triples /BIP	0.00%	÷1.000	×0.940	—	×0.998	0.00%
Home runs /BIP	10.00%	÷1.000	×0.800	—	×0.998	7.98%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .402 → .319; ISO .273 → .210; BABIP .370 → .324. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 A+Vancouver Canadians · 83 PAwOBA .304 → .227 (−77)K% 33.7% → 47.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.73%	÷0.958	×1.350	—	—	47.54%
BB% (unintentional) /PA	15.66%	÷1.039	×0.710	—	×0.988	10.57%
HBP% /PA	0.00%	—	×0.810	—	×0.988	0.00%
Singles /BIP	22.50%	÷1.022	×0.910	—	×0.988	19.79%
Doubles /BIP	7.50%	÷0.898	×0.830	—	×0.988	6.85%
Triples /BIP	0.00%	÷0.939	×0.820	—	×0.988	0.00%
Home runs /BIP	5.00%	÷0.855	×0.830	—	×0.988	4.79%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 71, 1B 104, 2B 80, 3B 88, K 92, BB 108 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .304 → .227; ISO .132 → .109; BABIP .300 → .264. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ADunedin Blue Jays · 39 PAwOBA .306 → .216 (−91)K% 25.6% → 36.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.64%	÷0.968	×1.360	—	—	36.02%
BB% (unintentional) /PA	15.38%	÷1.015	×0.690	—	×0.980	10.25%
HBP% /PA	0.00%	—	×0.780	—	×0.980	0.00%
Singles /BIP	9.09%	÷1.006	×0.920	—	×0.980	8.14%
Doubles /BIP	13.64%	÷1.047	×0.830	—	×0.980	10.59%
Triples /BIP	0.00%	÷0.900	×0.910	—	×0.980	0.00%
Home runs /BIP	4.55%	÷1.284	×0.800	—	×0.980	2.77%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 157, 1B 101, 2B 109, 3B 80, K 94, BB 103 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average).

Result: wOBA .306 → .216; ISO .188 → .124; BABIP .227 → .184. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy 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
#3Marc Hill'73-'86 * career totals — 10 seasons, 2,047 PA	3.1	2,047	34	1	218*	292*	337*	+35	-0	2.6	3.3
/162	664	11	0	+11.4	-0.0	0.8	pk7: 4
#4Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
#5Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#6Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.4	245	6	3	203	288	332	+4	+4	0.4	0.4
/162	664	16	8	+11.9	+10.8	1.2	pk7: 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
Hayden Gilliland (OGILVIE)	25	20	45	42	59	197/287/323	126	263	2	2	29%	10%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tristan Gray 2021 · AA	25	39→36	49→50	37→40	46	204/272/353	148	253	16	5	26%	8%	76	-0.4	196/250/344	148	275	18	5	35%	6%	65	-1.2	197/252/324	127	261	14	3	29%	6%	61	-1.0
✕Daniel Vellojin 2024 · AA	24	39	43→45	45	49	192/277/302	110	267	11	6	30%	10%	66	-1.1	177/253/266	89	250	8	6	31%	8%	49	-2.4	150/230/223	73	210	7	4	31%	8%	29	-1.4
✕Andy Yerzy 2023 · AA	25	35	49→50	49→40	45	189/273/335	146	257	18	5	33%	9%	73	-0.6	198/270/322	124	274	15	7	31%	8%	68	-1.0	143/211/218	74	223	10	2	39%	7%	19	-1.3
✕Anthony Seigler 2024 · AA	25	37→40	42→45	45→55	57	183/289/284	100	237	9	12	25%	12%	68	-1.0	214/304/334	120	266	10	22	22%	11%	84	+0.1	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Sean Coughlin 2010 · AA	25	44→37	48→50	45→30	51	223/295/364	141	261	16	2	21%	9%	87	+0.4	216/278/329	113	272	12	5	24%	7%	72	-0.7	183/244/268	85	237	9	2	26%	7%	44	-1.3
✕Rodolfo Castro 2024 · MLB	25	42	50→55	42→50	43	215/281/365	149	285	18	8	30%	7%	82	-0.0	211/277/347	136	276	16	12	29%	7%	76	-0.4	198/265/337	139	251	16	17	27%	7%	68	-0.9
✕Ian Rice 2019 · AA	25	41→40	48→50	44→30	49	209/298/350	141	280	16	3	30%	10%	85	+0.2	200/274/302	102	285	10	5	31%	8%	65	-1.2	158/229/219	60	230	5	0	31%	7%	30	-1.7
✕Isan Díaz 2022 · MLB	26	42→43	48→55	38→45	47	213/285/352	139	276	16	4	28%	8%	80	-0.1	215/287/386	171	286	22	9	32%	9%	89	+0.5	192/269/361	169	236	25	8	31%	9%	74	-0.2
✕John Whittleman 2012 · AA	25	35→45	48→50	43→45	48	188/265/330	143	245	16	3	30%	10%	68	-1.0	198/284/348	150	285	17	5	34%	11%	80	-0.2	169/278/326	156	244	18	1	36%	13%	72	-0.5
✕Drew Ellis 2021 · AA	25	40→38	47→55	37→40	47	206/278/343	137	265	15	3	28%	8%	76	-0.4	202/292/370	168	265	18	5	29%	10%	88	+0.4	186/283/356	170	238	19	4	29%	10%	79	-0.1
✕César Salazar 2022 · AA	26	40	47→45	48→45	41	207/270/342	135	258	15	9	26%	5%	73	-0.6	210/287/332	122	250	14	8	22%	7%	78	-0.3	206/307/310	103	242	10	6	18%	9%	79	-0.1
✕Matt Wallach 2011 · AA	25	42	46→45	42→40	43	214/263/340	126	256	13	3	22%	6%	69	-0.9	211/283/307	96	258	10	5	21%	7%	69	-0.9	192/276/259	67	243	7	3	22%	8%	56	-0.8
✕Reese Havens 2012 · AA	25	47→40	48→45	44→40	46	233/302/374	142	308	15	5	28%	8%	91	+0.7	209/283/319	110	298	11	5	31%	9%	72	-0.7	184/268/281	96	264	11	2	32%	9%	56	-0.8
✕Zack Collins 2020 · MLB	25	41→42	51→50	48→40	50	206/304/368	161	304	18	3	36%	12%	92	+0.7	204/299/355	151	293	16	5	33%	11%	86	+0.3	184/277/316	132	274	14	4	35%	11%	69	-0.5
✕Greg Cullen 2022 · AA	25	46→44	42→40	43→40	51	220/312/326	106	290	9	4	26%	10%	85	+0.2	234/325/336	102	316	10	6	26%	11%	92	+0.7	234/334/325	91	316	9	5	26%	11%	91	+0.3
✕Zack Short 2019 · AA	24	40→39	47→50	47→45	51	202/293/345	143	270	14	9	29%	11%	82	+0.0	198/291/335	137	280	14	7	32%	10%	79	-0.2	177/277/302	125	240	14	9	31%	11%	66	-0.8
✕Davis Wendzel 2022 · AAA	25	43→32	45→50	43→40	43	215/289/338	123	285	13	5	28%	7%	79	-0.2	194/269/332	138	249	18	5	29%	8%	71	-0.8	194/271/323	128	229	14	4	22%	7%	67	-0.6
✕Quincy McAfee 2023 · AA	25	39	42→45	42→45	46	191/278/294	103	260	10	6	29%	8%	65	-1.2	197/274/326	129	246	14	10	25%	7%	71	-0.8	183/262/322	139	217	16	12	24%	7%	63	-0.8
✕Peyton Burdick 2022 · AAA	25	40→34	51→50	45→50	46	202/298/366	164	295	19	9	36%	10%	89	+0.5	184/270/334	150	284	17	12	39%	9%	72	-0.7	166/253/310	144	262	17	13	41%	8%	58	-1.3
✕Carlos Narváez 2024 · AAA	25	38→45	46→45	45	46	193/282/317	124	279	14	7	34%	10%	72	-0.7	212/291/338	126	290	14	7	30%	9%	80	-0.2	205/284/324	120	276	13	6	29%	8%	74	-0.4

Hayden Gilliland

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps