Austin St. Laurent

Austin St. Laurent3B Everett AquaSox

Age 24 R/R 6'0" / 190 lbs A+ K +7%HR -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION343 act + 9 ros · stats below = ROS only

showingROS

wRC+†66

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

PA9

HR0

K%33

BB%11

BABIP302

ISO70

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 45 / POW 25

Toolsscout grade

CONTACT45

scouting grade only

POWER25

scouting grade only

EYE55

scouting grade only

SPEED50

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	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
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		$0.0M		$-1M	+$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)
2025	23	A	Modesto Nuts	—	521	443	114	17	1	4	70	97	4	18	7	257	364	327	691	70	318	19	13	320	103	+2	+1	—	—	+11	1.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	23	A MLE	Modesto Nuts	—	521	464	108	14	1	5	49	125	4	18	7	233	311	300	611	67	297	24	9	274	72	-18	+1	—	—	+11	-0.6
2025	23	A MLE	Modesto Nuts	—	521	464	108	14	1	5	49	125	4	18	7	233	311	300	611	67	305	24	9	274	72	—	—	—	—	—	—
2025	23	A RAW	Modesto Nuts	—	521	443	114	17	1	4	70	97	4	18	7	257	364	327	691	70	318	19	13	320	72	—	—	—	—	—	—
2025	23	A MLE	Modesto Nuts	—	521	463	108	14	1	5	49	125	4	18	7	233	311	300	612	67	297	24	9	274	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	23	A MLE	Modesto Nuts	—	521	463	108	14	1	5	49	125	4	18	7	233	311	300	612	67	297	24	9	274	72	—	—	—	—	—	—
YTD	24	A+ MLE	SEA	—	343	312	70	12	1	4	27	107	3	12	7	224	292	308	600	83	327	31	8	266	66	-14	-0	+0	+1	+7	-0.6
▸ 2026 season
YTD	24	A+ RAW	SEA	—	328	284	79	14	1	5	40	74	3	12	7	278	373	387	760	109	359	23	12	346	66	—	—	—	—	—	—
YTD	24	AA RAW	SEA	—	15	13	5	2	0	0	2	3	0	0	0	385	467	538	1.005	154	500	20	13	445	66	—	—	—	—	—	—
ROS	24	A+ MLE	SEA	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		304	33	11	266	66	-0	+0	+0	+0	+0	-0.0
TOT	24	A+ MLE	SEA	—	352	320	71	12	1	4	28	110	3	12	7	222	291	303	594	81	324	31	8	266	66	-14	-0	+0	+1	+8	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	SEA	30%	370	332	73	12	1	5	32	106	3	8	4	220	294	307	602	87	303	29	9	276	73	-12	+0	+0	+1	+8	-0.3
2028	26	MLB MLE	SEA	44%	407	366	81	13	1	7	35	114	3	8	4	221	295	320	614	98	302	28	9	282	77	-11	+0	+0	+1	+9	-0.1
2029	27	MLB MLE	SEA	49%	420	377	84	14	1	7	37	117	3	8	4	223	297	321	618	98	301	28	9	284	78	-11	+0	+0	+1	+9	-0.0
2030	28	MLB MLE	SEA	52%	425	382	85	14	1	8	37	118	3	8	4	223	296	327	623	105	300	28	9	284	78	-11	+0	-1	+2	+9	-0.1
2031	29	MLB MLE	SEA	56%	420	377	83	14	1	7	37	118	3	8	4	220	295	318	613	98	299	28	9	282	77	-12	+0	-1	+1	+9	-0.2
2032	30	MLB MLE	SEA	59%	414	371	81	13	1	7	37	117	3	7	3	218	294	315	610	97	298	28	9	279	75	-12	+0	-2	+1	+9	-0.4
2027	25	MLB CTX	SEA	30%	112	100	23	4	0	2	10	32	1	2	1	230	306	330	636	100	300	29	9	268	73	-4	+0	+0	+0	+2	-0.1
2028	26	MLB CTX	SEA	44%	180	162	36	6	0	3	15	51	1	4	2	222	292	315	607	93	300	28	8	274	77	-5	+0	+0	+1	+4	-0.0
2029	27	MLB CTX	SEA	49%	206	184	42	7	1	4	18	57	2	4	2	228	304	342	646	114	299	28	9	276	78	-5	+0	+0	+1	+4	-0.0
2030	28	MLB CTX	SEA	52%	219	196	44	7	1	4	19	61	2	4	2	224	300	332	631	107	298	28	9	275	78	-6	+0	-0	+1	+5	-0.1
2031	29	MLB CTX	SEA	56%	234	209	47	8	1	4	21	66	2	4	2	225	302	330	632	105	297	28	9	274	77	-6	+0	-1	+1	+5	-0.1
2032	30	MLB CTX	SEA	59%	243	217	48	8	1	4	22	69	2	4	2	221	299	323	621	101	295	28	9	271	75	-7	+0	-1	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1194	1068	240	40	4	21	105	336	10	22	11	225	300	329	629	104	305	28	9	273	75	-33	+0	-2	+4	+26	-0.6
/ 162G	—	A+C		—	650	581	130	22	2	11	57	183	5	12	6	224	298	325	623	102	305	28	9	273	75	-18	+0	-1	+2	+14	-0.3
Career	—	MLE		—	2986	2677	596	94	7	46	265	818	22	65	30	223	298	315	612	92	301	27	9	280	75	-70	+0	-4	+9	+53	-1.2
/ 162G	—	MLE		—	650	583	130	20	2	10	58	178	5	14	7	223	299	316	614	93	302	27	9	280	75	-18	+0	-1	+2	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#2Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#3Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.8	1,196	20	22	223	294	323	+4	+2	0.4	0.4
/162	664	11	12	+2.4	+0.8	0.2	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Austin St. Laurent (OGILVIE)	24	45	25	50	55	214/286/289	75	304	3	9	29%	8%	66	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mike Martin 2017 · A	24	45	36→30	51→55	44	211/278/271	60	288	4	14	27%	7%	59	-1.7	230/280/302	72	291	4	18	21%	6%	65	-1.2	243/288/302	60	299	2	27	18%	5%	66	-0.6
✕Blake Rambusch 2023 · A	23	48	37→30	52→65	43	220/289/294	74	319	4	14	30%	7%	68	-1.0	230/314/295	65	316	3	29	25%	9%	78	-0.3	249/326/297	48	311	1	47	18%	9%	80	-0.1
✕Will Piwnica-Worms 2014 · A	24	44	38→40	49→50	50	210/290/289	79	270	5	9	23%	9%	68	-1.0	210/277/303	93	289	8	8	28%	7%	65	-1.2	184/246/269	85	256	9	5	30%	6%	47	-1.0
✕Julian Williams 2007 · A	24	48	36→30	49→55	48	220/306/293	73	294	3	15	24%	8%	75	-0.5	220/294/288	68	282	3	17	21%	8%	69	-0.9	218/293/263	45	274	0	23	19%	8%	60	-1.0
✕Grant Little 2021 · A	24	44	36→30	51→55	46	208/267/277	69	268	3	8	23%	7%	55	-1.9	217/297/293	76	304	5	18	28%	8%	72	-0.7	206/303/255	49	297	2	28	28%	9%	63	-0.6
✕Chad Zurcher 2013 · A	24	48	36→30	47→45	50	222/288/291	69	266	3	9	17%	7%	66	-1.1	228/309/290	62	295	2	7	21%	10%	75	-0.5	238/336/271	32	303	0	6	19%	12%	78	-0.1
✕Ronnie Richardson 2014 · A	24	43	41→40	47→50	45	211/274/317	106	277	8	8	26%	7%	68	-1.0	216/305/312	96	290	6	10	25%	9%	79	-0.2	208/311/302	94	281	5	10	24%	10%	78	-0.2
✕Justin Maffei 2016 · A	24	50	37→40	49→50	46	231/299/305	74	305	3	11	24%	7%	74	-0.6	230/300/301	71	302	4	11	23%	8%	74	-0.6	230/305/277	47	303	2	11	22%	8%	67	-0.3
✕Anthony Prato 2022 · A	24	48→50	36→45	49→55	49	216/308/281	65	312	3	11	29%	10%	73	-0.6	218/307/327	109	307	8	15	29%	10%	83	+0.1	210/307/323	113	293	8	16	28%	10%	80	-0.1
✕Collin Radack 2016 · A	24	50→52	37→30	48→50	42	234/302/302	68	318	4	11	26%	6%	75	-0.5	230/293/296	66	319	4	11	27%	6%	70	-0.9	237/298/258	21	335	0	11	27%	7%	59	-0.5
✕Connor McVey 2019 · A	24	45	40→30	45→50	45	213/287/302	89	309	7	9	32%	8%	70	-0.9	203/300/279	76	295	6	9	30%	10%	70	-0.8	182/297/241	59	265	6	9	30%	11%	59	-1.1
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Jake Thomas 2017 · A	24	43	37→30	48→50	45	201/269/273	72	281	4	7	28%	8%	55	-1.9	213/302/287	74	322	3	9	31%	11%	72	-0.7	209/322/267	58	327	1	10	31%	14%	73	-0.4
✕Daniel Amaral 2021 · A	24	48	37→40	53→55	43	222/287/299	77	306	4	16	27%	6%	68	-1.0	212/277/320	108	289	10	20	28%	7%	70	-0.9	208/280/314	106	276	10	31	27%	8%	67	-0.4
✕Cobie Fletcher-Vance 2022 · A	24	46→47	37→40	53→45	49	214/293/288	73	279	4	9	23%	8%	69	-0.9	215/271/294	79	276	5	5	23%	6%	61	-1.5	210/258/282	72	266	5	1	22%	5%	51	-1.2
✕John Ziznewski 2015 · A	24	43	35→40	48→50	43	200/261/256	56	297	2	7	32%	8%	48	-2.5	218/281/297	79	342	4	10	34%	8%	65	-1.2	227/294/312	85	364	4	13	36%	8%	70	-0.4
✕Joseph Tucker 2008 · A	24	46→54	37→40	48→40	39	218/260/293	75	295	5	12	27%	5%	56	-1.9	233/288/304	71	293	4	6	21%	5%	70	-0.9	238/296/299	61	297	4	4	20%	5%	70	-0.6
✕Najee Gaskins 2022 · A	24	45	39→30	51→50	36	211/263/299	87	319	7	12	34%	5%	59	-1.7	213/283/291	78	360	5	9	39%	6%	65	-1.2	208/292/266	59	376	2	10	40%	7%	63	-0.6
✕Nick Dean 2016 · A	24	48	39→40	47→50	45	228/290/312	85	285	6	10	22%	6%	72	-0.7	218/288/313	95	300	9	9	28%	8%	72	-0.7	178/274/252	74	252	12	8	32%	10%	51	-0.5
✕Yoel Romero 2021 · A	23	43	38→40	46→50	45	206/268/286	80	275	6	9	26%	7%	58	-1.7	216/267/308	92	323	7	4	33%	6%	62	-1.4	212/260/299	87	317	7	0	34%	5%	55	-0.8

Career Stats + Projections

Career Comps

Career Path Comps