Maddox Latta

2B Vancouver Canadians

Age 24 R/R 5'11" / 193 lbs A+ Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP35OGV rank#1351ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	ATOR	100	.267/.340/.333	0	9	51	—	.215/.270/.269
2026	23	A+TOR	443	.243/.368/.362	9	12	65	—	.197/.295/.288
2027PROJMLE	24	MLBTOR	1	.226/.311/.332	0	0	84	0.0
2028PROJ38% MLB	25	MLBTOR	97	.228/.313/.340	2	2	86	0.1
2029PROJ55% MLB	26	MLBTOR	167	.229/.313/.344	3	3	88	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2026 A+

Whiff%77

Z-Con%77

K%76

Chase%76

BB%74

wRC+53

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

CompsDaniel Lyons (age 24) · Graysen Tarlow (age 23) · Jackson Brennan (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†84

AVG/OBP/SLG.226 / .311 / .332

PA1

HR0

K%24

BB%10

BABIP292

ISO103

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus

Tools · ContractCON 39 / POW 37

Toolsscout grade

CONTACT39

scouting grade only

POWER37

scouting grade only

EYE54

scouting grade only

SPEED52

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	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$0.9M	—	—	—
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		$0.9M		$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. 2027 = full-season projection (no games played yet). 2028+ 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)
2025	22	A	Dunedin Blue Jays	—	100	90	24	4	1	0	9	25	1	9	2	267	340	333	673	67	369	25	9	310	51	—	—	—	—	—	—
2026	23	A+	Vancouver Canadians	—	443	367	89	17	0	9	64	85	9	12	5	243	368	362	731	120	290	19	14	336	65	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Dunedin Blue Jays	—	100	93	20	3	1	0	6	35	1	9	2	215	270	269	539	54	348	35	6	243	51	—	—	—	—	—	—
2026	23	A+ MLE	Vancouver Canadians	—	443	386	76	14	0	7	45	115	9	12	5	197	295	288	583	91	254	26	10	265	65	—	—	—	—	—	—
2025	22	A MLE	Dunedin Blue Jays	—	100	93	20	3	1	0	6	35	1	9	2	215	270	269	539	54	345	35	6	243	51	—	—	—	—	—	—
2025	22	A RAW	Dunedin Blue Jays	—	100	90	24	4	1	0	9	25	1	9	2	267	340	333	673	67	369	25	9	310	51	—	—	—	—	—	—
2026	23	A+ MLE	Vancouver Canadians	—	443	386	76	14	0	7	45	115	9	12	5	197	295	288	583	91	258	26	10	265	65	—	—	—	—	—	—
2026	23	A+ RAW	Vancouver Canadians	—	443	367	89	17	0	9	64	85	9	12	5	243	368	362	731	120	290	19	14	336	65	—	—	—	—	—	—
2025	22	A MLE	Dunedin Blue Jays	—	100	93	20	3	1	0	6	35	1	9	2	215	270	269	539	54	348	35	6	243	51	—	—	—	—	—	—
2026	23	A+ MLE	Vancouver Canadians	—	443	386	76	14	0	7	45	115	9	12	5	197	295	288	583	91	254	26	10	265	65	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A MLE	Dunedin Blue Jays	—	100	93	20	3	1	0	6	35	1	9	2	215	270	269	539	54	348	35	6	243	51	—	—	—	—	—	—
2026	23	A+ MLE	Vancouver Canadians	—	443	386	76	14	0	7	45	115	9	12	5	197	295	288	583	91	254	26	10	265	65	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	TOR	0%	380	336	77	15	2	6	36	93	5	7	2	225	310	331	641	105	291	24	9	292	84	-7	+1	+0	+1	+8	0.3
▸ 2027 — real world (MLB)
2027	24	MLB CTX	TOR	0%	1	1	0	0	0	0	0	0	0	0	0	226	311	332	643	106	292	0	0	293	84	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	TOR	38%	255	226	51	10	1	4	24	62	3	5	2	227	312	339	651	112	291	24	9	296	86	-4	+0	+0	+1	+6	0.3
2029	26	MLB MLE	TOR	55%	301	265	60	12	1	5	29	73	4	6	2	228	312	343	656	115	291	24	10	298	88	-4	+0	+0	+1	+7	0.4
2030	27	MLB MLE	TOR	61%	319	282	64	12	1	6	30	77	4	6	2	228	312	344	656	116	290	24	9	298	88	-5	+0	+0	+1	+7	0.4
2031	28	MLB MLE	TOR	65%	326	288	66	13	1	6	31	80	4	5	2	227	310	343	653	115	289	25	10	296	87	-5	+0	-1	+1	+7	0.3
2032	29	MLB MLE	TOR	64%	320	283	64	12	1	6	30	79	4	3	1	226	308	339	647	114	288	25	9	294	85	-6	+0	-1	+1	+7	0.1
2033	30	MLB MLE	TOR	70%	314	278	62	12	1	5	29	78	4	2	1	222	304	331	636	109	286	25	9	289	82	-7	+0	-2	+1	+7	-0.1
2028	25	MLB CTX	TOR	38%	97	87	20	4	0	2	9	24	1	2	1	228	313	340	652	112	292	25	9	297	86	-2	+0	+0	+0	+2	0.1
2029	26	MLB CTX	TOR	55%	167	147	34	6	1	3	16	40	2	3	1	229	313	344	658	115	292	24	10	298	88	-2	+0	+0	+1	+4	0.2
2030	27	MLB CTX	TOR	61%	196	172	41	8	1	4	19	48	3	3	1	229	313	345	658	116	291	24	10	298	88	-3	+0	+0	+1	+4	0.2
2031	28	MLB CTX	TOR	65%	210	185	43	8	1	4	20	51	3	3	1	228	311	344	654	116	291	24	10	297	87	-3	+0	-0	+1	+5	0.2
2032	29	MLB CTX	TOR	64%	206	183	42	8	1	4	19	51	2	2	1	226	309	340	649	114	289	25	9	294	85	-4	+0	-1	+1	+4	0.1
2033	30	MLB CTX	TOR	70%	220	195	44	8	1	4	20	55	3	2	1	223	305	332	637	109	287	25	9	290	82	-5	+0	-1	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1096	969	224	42	5	21	103	269	14	15	6	231	314	350	664	119	297	25	9	295	81	-19	+1	-3	+4	+24	0.7
/ 162G	—	A+C		—	650	575	133	25	3	12	61	160	8	9	4	231	314	348	661	117	298	25	9	295	81	-11	+0	-2	+2	+14	0.4
Career	—	MLE		—	2588	2286	505	96	8	42	244	650	36	52	18	221	306	325	631	104	288	25	9	288	81	-35	+2	-4	+7	+44	1.4
/ 162G	—	MLE		—	650	574	127	24	2	11	61	163	9	13	5	221	306	328	633	106	287	25	9	288	81	-11	+1	-1	+2	+14	0.5

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 · 443 PAwOBA .330 → .265 (−65)K% 19.2% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.19%	÷1.000	×1.350	—	—	25.90%
BB% (unintentional) /PA	14.45%	÷1.000	×0.710	—	×0.998	10.24%
HBP% /PA	2.03%	—	×0.810	—	×0.998	1.64%
Singles /BIP	22.34%	÷1.000	×0.910	×0.987	×0.998	20.03%
Doubles /BIP	6.03%	÷1.000	×0.830	×0.987	×0.998	4.93%
Triples /BIP	0.00%	÷1.000	×0.820	×0.987	×0.998	0.00%
Home runs /BIP	3.19%	÷1.000	×0.830	—	×0.998	2.64%

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 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .330 → .265; ISO .120 → .097; BABIP .290 → .254. 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 · 100 PAwOBA .302 → .243 (−59)K% 25.0% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.968	×1.360	—	—	35.11%
BB% (unintentional) /PA	9.00%	÷1.015	×0.690	—	—	6.12%
HBP% /PA	1.00%	—	×0.780	—	—	0.78%
Singles /BIP	29.23%	÷1.006	×0.920	×1.050	—	28.06%
Doubles /BIP	6.15%	÷1.047	×0.830	×1.050	—	5.12%
Triples /BIP	1.54%	÷0.900	×0.910	×1.050	—	1.63%
Home runs /BIP	0.00%	÷1.284	×0.800	—	—	0.00%

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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .302 → .243; ISO .067 → .054; BABIP .369 → .348. 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
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Ehire Adrianzalast yr '22 career totals — 9 seasons, 1,519 PA	2.3	1,519	20	19	240	310	353	+10	+13	4.0	4.4
/162	664	9	8	+4.2	+5.5	1.8	pk7: 5
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Rene Gonzales'84-'97 * career totals — 8 seasons, 1,756 PA	2.6	1,756	19	23	236*	311*	337*	+4	+11	1.9	2.8
/162	664	7	9	+1.6	+4.2	0.7	pk7: 4
#5Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.7	1,097	20	15	227	307	341	+4	+4	1.6	1.6
/162	664	12	9	+2.4	+2.4	1.0	pk7: 2
#6Phil Linz'62-'68 * career totals — 7 seasons, 1,518 PA	2.3	1,518	11	13	238*	301*	338*	+10	-0	0.7	0.7
/162	664	5	6	+4.3	-0.2	0.3	pk7: 1

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
Maddox Latta (OGILVIE)	24	39	37	52	54	223/308/328	104	291	3	4	24%	10%	84	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daniel Lyons 2009 · A	24	47	40	50	48	223/304/325	102	285	7	13	23%	8%	81	-0.1	196/280/278	82	263	5	14	25%	9%	62	-1.4	163/256/221	59	224	3	15	26%	10%	40	-1.4
✕Graysen Tarlow 2024 · A	23	45	43→30	49→40	50	217/307/331	113	283	10	8	25%	9%	84	+0.1	211/291/285	74	299	6	6	29%	8%	68	-1.0	224/307/292	68	313	6	7	28%	8%	76	-0.1
✕Jackson Brennan 2007 · A	24	45→41	42→40	46→50	47	217/304/323	107	295	9	10	28%	8%	81	-0.1	206/296/302	96	284	8	10	28%	9%	74	-0.6	191/290/275	85	265	7	10	28%	9%	64	-0.7
✕Quincy McAfee 2022 · AA	24	42	43→45	48→45	50	206/300/320	113	269	10	10	25%	9%	79	-0.2	193/276/313	120	251	12	8	27%	8%	69	-0.9	178/260/298	120	224	14	8	26%	7%	57	-1.0
✕Corey Joyce 2024 · AAA	25	42	43→40	50	48	204/305/319	115	291	11	13	31%	10%	81	-0.1	217/305/313	96	303	8	15	29%	9%	79	-0.2	219/295/310	91	293	10	16	27%	8%	70	-0.5
✕Zach Humphreys 2023 · AA	25	45	43→40	49→50	52	221/304/327	106	290	11	12	26%	10%	82	-0.0	212/285/304	92	286	7	15	26%	9%	69	-0.9	198/271/277	78	269	5	16	26%	8%	55	-0.8
✕Taylor Krick 2011 · A	23	43	39→30	48→40	50	207/292/287	80	272	6	7	25%	9%	68	-1.0	226/310/289	63	311	3	5	26%	8%	76	-0.4	233/322/283	50	324	2	2	25%	8%	76	-0.2
✕Noah Cardenas 2024 · A	24	47→45	40→45	45	53	222/321/319	97	298	7	9	26%	11%	87	+0.4	191/290/299	108	255	11	6	28%	10%	72	-0.7	160/269/272	112	204	15	4	28%	10%	55	-0.9
✕Luis Santana 2023 · A	24	44	46→45	48→50	42	221/284/348	127	282	13	11	26%	6%	79	-0.2	210/265/327	117	265	13	7	25%	5%	67	-1.1	194/247/303	110	239	13	5	25%	5%	52	-1.2
✕Jake Lemmerman 2013 · AA	24	47→51	43→45	50→45	46	227/301/344	117	302	9	8	26%	8%	84	+0.2	200/277/304	104	277	9	9	29%	9%	66	-1.1	177/259/273	96	245	9	9	30%	9%	50	-1.2
✕Joe Sclafani 2014 · A	24	48	41→40	52→50	52	228/308/335	106	279	7	14	20%	9%	84	+0.2	258/320/336	78	312	4	11	17%	8%	88	+0.5	285/343/346	61	340	2	10	16%	7%	95	+0.5
✕Zach Morgan 2024 · A	24	43	41→45	50	48	209/279/310	101	279	8	7	27%	9%	68	-1.0	202/272/291	89	258	8	8	23%	8%	61	-1.5	192/265/268	76	237	8	7	21%	8%	52	-0.8
✕Anthony Seigler 2023 · A	24	39→40	42→45	46→55	54	193/293/304	111	262	9	11	28%	12%	73	-0.6	198/296/310	112	251	10	20	23%	12%	75	-0.5	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Tony Delmonico 2011 · A	24	48	43→45	50→40	48	233/312/339	106	299	10	6	24%	8%	88	+0.4	218/306/327	109	301	10	4	29%	9%	83	+0.1	214/310/337	123	288	13	1	28%	8%	86	+0.2
✕Andres Sosa 2023 · A	25	40	42→40	52→45	49	192/302/304	112	274	9	9	30%	10%	78	-0.3	199/288/291	92	288	7	7	31%	8%	68	-1.0	185/275/262	76	274	5	4	31%	7%	55	-0.7
✕Tyler Smith 2015 · AA	24	49→54	41→40	47→50	48	235/305/339	103	298	8	10	23%	8%	84	+0.1	233/291/317	84	297	6	8	22%	7%	74	-0.6	226/283/300	74	288	5	7	22%	6%	63	-1.0
✕Michael Turconi 2023 · A	24	50→46	40→45	45→50	51	236/313/323	87	291	7	9	21%	9%	84	+0.1	212/297/306	94	313	6	8	31%	10%	74	-0.6	197/287/281	85	301	5	7	33%	10%	63	-0.7
✕Sean Jamieson 2013 · A	24	41→44	43→45	53→50	47	201/277/314	113	254	10	15	24%	8%	69	-0.9	225/285/338	113	297	9	10	26%	6%	77	-0.3	233/292/342	109	311	9	9	26%	6%	77	-0.3
✕Ronnie Richardson 2014 · A	24	43	41→40	47→50	45	211/274/317	106	277	8	8	26%	7%	68	-1.0	213/301/309	96	285	6	10	25%	9%	77	-0.3	204/305/297	93	275	5	10	24%	10%	74	-0.3
✕Jack Marder 2014 · AA	24	46	42→45	49→50	42	227/283/335	108	278	10	14	22%	5%	75	-0.5	232/296/340	108	283	9	9	21%	6%	82	-0.0	249/320/360	111	294	10	3	18%	6%	93	+0.4

Maddox Latta

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps