Maddox Latta — OGILVIE

Maddox Latta2B Vancouver Canadians

Age 23 R/R 5'11" / 193 lbs A+ Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION289 act + 192 ros · stats below = ROS only

wRC+†63

AVG/OBP/SLG.216 / .294 / .303

PA192

HR2

SB5

K%26

BB%9

BABIP292

ISO87

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 39 / POW 37

Toolsscout grade

CONTACT39

scouting grade only

POWER37

scouting grade only

EYE55

scouting grade only

SPEED59

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	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
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
Totals		$2M		$3M	+$1M

Career Stats + Projections

Viewactual = stats as recorded (prior seasons combined) + projected real-world MLB lines · MLE = level/park-neutral translations

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
2025	22	A	Dunedin Blue Jays	—	100	92	19	3	1	0	7	38	1	9	2	207	270	261	531	54	352	38	7	238	40	—	—	—	—	—	—
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	95	—	—	—	—	—	—
▸ 2026 Season (ACT · ROS-MLE · ROS-CTX · FULL)
YTD	23	A+	TOR	—	289	257	48	9	0	2	26	80	4	10	5	187	272	245	517	58	260	28	9	238	40	-19	+0	+0	+1	+8	-1.0
YTD	23	A+	TOR	—	289	242	60	12	0	3	41	57	4	10	5	248	366	335	701	87	310	20	14	325	107	+2	+0	+0	+1	+8	1.2
ROS	23	A+	TOR	0%	192	171	37	7	1	2	17	51	2	5	2	216	294	303	597	87	285	26	9	268	63	-8	+0	+0	+1	+5	-0.2
ROS	23	MLB	TOR	0%	1	1	0	0	0	0	0	0	0	0	0						286	0	0	260	57	-0	+0	+0	+0	+0	-0.0
FULL	23	A+	TOR	—	290	258	48	9	0	2	26	80	4	10	5	186	271	244	515	58	258	28	9	238	40	-20	+0	+0	+1	+8	-1.0
TOT	23	A+	TOR	—	481	428	85	16	1	4	43	131	6	15	7	198	281	268	549	70	273	27	9	250	49	-28	+0	+0	+2	+14	-1.2
▸ 2027+ Projections WITH CONTEXT · MLB TIME ONLY ⓘPARK-NEUTRAL MLE · ALL-LEVEL PT ⓘ
2027	24	MLB	TOR	30%	507	453	99	19	2	7	44	131	5	11	4	219	295	316	610	97	287	26	9	278	71	-17	+1	+0	+2	+14	0.0
2028	25	MLB	TOR	44%	520	465	103	20	2	8	45	132	5	11	4	222	297	325	622	103	288	25	9	284	75	-14	+1	+0	+2	+15	0.3
2029	26	MLB	TOR	51%	525	468	105	20	2	9	46	133	6	11	4	224	302	333	635	109	288	25	9	287	78	-13	+1	+0	+2	+15	0.4
2030	27	MLB	TOR	52%	524	467	104	20	2	9	46	132	6	11	4	223	301	332	632	109	288	25	9	288	79	-13	+1	+0	+2	+15	0.5
2031	28	MLB	TOR	53%	520	464	104	20	2	9	46	132	5	11	4	224	301	334	635	110	288	25	9	287	78	-13	+1	-1	+2	+15	0.4
2027	24	MLB	TOR	30%	154	138	31	6	1	2	13	40	2	3	1	225	301	326	627	101	289	26	8	271	66	-6	+0	+0	+1	+4	-0.1
2028	25	MLB	TOR	44%	230	206	46	9	1	4	20	58	2	5	2	223	298	335	633	112	289	25	9	277	70	-8	+0	+0	+1	+7	-0.0
2029	26	MLB	TOR	51%	266	238	54	10	1	5	23	67	3	6	2	227	303	340	643	113	290	25	9	280	73	-8	+0	+0	+1	+8	0.1
2030	27	MLB	TOR	52%	275	246	55	10	1	5	24	70	3	6	2	224	300	333	634	110	290	25	9	281	73	-8	+0	+0	+1	+8	0.1
2031	28	MLB	TOR	53%	277	247	55	10	1	5	25	70	3	6	2	223	302	332	634	109	289	25	9	280	73	-9	+0	-0	+1	+8	0.0
▸ Career Totals
Career	—			—	1203	1076	241	45	5	21	105	305	13	26	9	224	301	334	634	110	291	25	9	279	71	-39	+2	-0	+4	+34	0.1
/ 162G	—			—	650	581	130	24	3	11	57	165	7	14	5	224	301	332	633	108	292	25	9	279	71	-21	+1	-0	+2	+18	0.0
Career	—			—	2888	2580	571	109	12	44	251	749	30	69	24	221	298	324	622	103	292	26	9	282	74	-85	+4	-1	+10	+82	1.1
/ 162G	—			—	650	581	129	25	3	10	56	169	7	16	5	222	298	327	625	105	293	26	9	282	74	-19	+1	-0	+2	+18	0.3

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	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
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	95	-1	+1	—	—	+3	0.3

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Top row of each card is career totals; bottom row is per-162-game rates. Pool: 727 completed hitter careers (2000-2024).

PLAYER · career totals + /162 games	YRS	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	8	3,267	98	64	221	297	378	+16	+36	11.0	11.4
	/162	664	20	13	221	297	378	+3.2	+7.3	2.2	pk7: 12
#2Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	6	2,438	31	30	244	299	357	+9	+26	5.4	5.4
	/162	664	8	8	244	299	357	+2.4	+7.2	1.5	pk7: 5
#3Desi Relafordlast yr '05 career totals — 6 seasons, 2,443 PA	6	2,443	34	64	246	329	356	-1	-7	5.1	5.1
	/162	664	9	17	246	329	356	-0.3	-1.8	1.4	pk7: 5
#4Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	6	2,347	46	31	241	304	367	-5	+7	3.8	3.8
	/162	664	13	9	241	304	367	-1.3	+1.9	1.1	pk7: 4
#5Pokey Reeselast yr '04 career totals — 5 seasons, 1,914 PA	5	1,914	29	78	242	303	347	-6	+6	2.7	2.7
	/162	664	10	27	242	303	347	-2.0	+2.2	1.0	pk7: 3
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	6	1,633	40	33	232	299	363	+6	-14	0.9	0.9
	/162	664	16	13	232	299	363	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	2	1,203	20	25	223	297	331	+4	+2	0.8	0.8
	/162	664	11	14	223	297	331	+2.4	+1.1	0.4	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)	23	34→39	32→37	54→59	55	198/281/268	70	273	4	15	27%	9%	49	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Blake Rambusch 2023 · A	23	47	37→30	52→65	42	219/287/293	74	318	4	14	30%	7%	63	-0.9	230/317/295	65	313	3	29	25%	9%	76	+0.1	252/330/304	52	316	1	49	19%	9%	79	+0.1
✕Corey Toups 2016 · A	23	49	41→45	56→50	45	232/292/338	106	306	6	17	25%	7%	76	+0.0	212/271/329	117	302	10	16	31%	6%	66	-0.6	199/260/315	116	290	10	16	33%	6%	55	-1.0
✕Chad Hinshaw 2014 · A	23	47→44	35→45	53→55	44	215/305/273	59	305	3	13	28%	7%	67	-0.5	224/300/353	129	313	12	25	31%	6%	85	+0.7	217/295/348	131	308	13	30	32%	6%	77	+0.1
✕Hudson Haskin 2022 · A	23	48→44	40	52→50	42	226/301/321	96	314	7	18	28%	6%	77	+0.1	220/305/333	113	311	10	15	30%	7%	82	+0.5	210/305/318	108	304	10	17	31%	8%	76	+0.1
●Levi Michael 2014 · A	23	39→49	37→45	55	49	187/266/263	76	252	4	13	26%	9%	46	-2.0	219/285/303	84	294	4	16	25%	7%	64	-0.8	226/293/341	115	319	10	11	30%	5%	75	+0.0
✕Hoy Park 2019 · A	23	46→49	39→45	55	50	218/298/304	86	288	6	17	25%	9%	71	-0.3	227/304/324	97	304	7	16	25%	9%	78	+0.2	217/301/336	119	289	13	18	28%	10%	77	+0.1
✕Ryan Leonards 2015 · A	24	47	40	56→50	43	224/280/314	90	282	7	12	22%	6%	65	-0.7	220/281/301	81	284	5	9	23%	6%	62	-0.9	215/280/285	69	278	3	8	22%	7%	54	-0.6
✕Taylor Krick 2011 · A	23	43	38→30	48→40	51	205/292/282	77	270	6	7	25%	10%	63	-0.8	226/312/290	64	313	3	5	26%	8%	73	-0.1	233/324/284	51	328	2	2	26%	8%	74	-0.0
✕Marco Hernandez 2021 · A	23	46	39→40	49→45	47	220/285/308	87	282	6	8	23%	7%	66	-0.6	203/292/299	96	283	8	4	29%	9%	68	-0.5	162/268/244	82	214	10	0	27%	10%	41	-0.6
✕Nolan Fontana 2014 · A	23	42→43	39→40	52→50	58	198/312/287	89	285	6	14	30%	14%	73	-0.1	204/300/291	87	305	4	9	30%	12%	69	-0.4	184/288/308	124	252	11	12	29%	12%	68	-0.2
✕Dom Duggan 2008 · A	23	45	39→40	54→55	47	213/288/305	92	287	5	13	26%	8%	66	-0.6	207/263/285	78	289	3	16	28%	6%	50	-1.8	197/251/269	72	273	3	20	27%	5%	37	-1.1
✕Erlin Cerda 2017 · A	23	44	36→40	51→55	42	205/266/276	70	280	2	11	26%	6%	49	-1.8	196/240/268	72	301	3	8	34%	5%	35	-2.8	163/196/205	43	251	0	8	34%	3%	-4	-1.3
✕Noah Campbell 2022 · A	23	46→45	39→45	53→50	46	215/296/301	86	315	7	14	31%	9%	69	-0.4	215/295/318	103	336	8	11	35%	9%	73	-0.1	209/298/318	109	342	7	8	37%	10%	70	-0.2
✕Alfredo González 2015 · A	23	42	38→40	52→45	43	203/264/285	81	271	6	9	26%	6%	50	-1.7	230/291/295	65	314	4	6	26%	7%	64	-0.8	225/288/284	59	300	4	5	25%	7%	57	-0.6
✕Christian Cairo 2023 · A	22	39→46	38→40	53→60	49	182/289/262	80	287	6	16	35%	11%	58	-1.2	202/293/281	79	297	5	23	30%	10%	63	-0.8	214/304/283	68	303	4	34	27%	10%	66	-0.4
✕Kraig Binick 2008 · A	23	46	42→40	57→55	47	223/293/330	107	269	9	12	20%	7%	76	+0.0	217/274/318	101	253	9	12	18%	5%	64	-0.8	227/285/294	67	243	8	26	10%	4%	59	-0.5
✕Juan Mora 2022 · A	22	47	44→45	55	46	225/302/347	122	301	11	14	27%	8%	83	+0.6	226/284/337	111	307	10	9	28%	5%	73	-0.1	224/280/333	110	298	10	8	27%	5%	68	-0.2
✕Kameron Misner 2021 · A	23	46→43	39→50	54→55	48	217/293/303	87	305	6	13	29%	9%	68	-0.5	199/283/333	134	317	13	21	38%	10%	72	-0.2	205/283/356	150	291	16	27	33%	9%	75	+0.0
✕Onix Vega 2022 · A	23	44	38→30	51→45	44	210/278/291	81	275	5	7	24%	6%	59	-1.1	210/286/283	73	281	5	6	25%	8%	60	-1.0	200/282/256	56	267	4	5	24%	9%	50	-0.7
✕Rayner Contreras 2010 · A	23	48	40	50	46	230/295/322	92	289	6	13	22%	7%	73	-0.1	213/265/290	77	309	5	10	31%	6%	52	-1.6	198/223/217	19	314	0	4	36%	3%	9	-0.8