Luke Shliger — OGILVIE

Luke ShligerC West Michigan Whitecaps

Age 24 L/R 5'7" / 197 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION243 act + 24 ros · stats below = ROS only

showingROS

wRC+†87

AVG/OBP/SLG.190 / .292 / .238

PA24

HR0

K%29

BB%8

BABIP290

ISO48

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$26M ctrl surplus

Tools · ContractCON 45 / POW 35

Toolsscout grade

CONTACT45

scouting grade only

POWER35

scouting grade only

EYE60

scouting grade only

SPEED55

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	+0.7	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Arb-1	$2M	+0.4	$0.9M	+$0.2M
2034	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2035	Arb-3	$0.6M	—	—	—
Totals		$4M		$7M	+$4M

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. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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)
2023	21	A	San Jose Giants	—	67	57	17	3	0	0	8	10	2	1	1	298	403	351	754	53	362	15	12	352	124	+2	-0	—	—	+1	0.3
2024	22	A+	Eugene Emeralds	—	70	61	17	4	0	2	7	21	1	1	0	279	362	443	805	164	395	30	10	355	127	+2	+0	—	—	+2	0.4
2024	22	A	San Jose Giants	—	276	215	49	11	2	1	50	50	10	10	4	228	396	312	708	84	291	18	18	338	115	+5	+0	—	—	+6	1.2
2025	23	A+	Eugene Emeralds	—	230	186	49	7	0	4	34	53	4	11	3	263	388	366	754	102	336	23	15	341	117	+5	+1	—	—	+5	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	21	A MLE	San Jose Giants	—	67	59	14	2	0	0	6	14	2	1	1	237	328	271	600	34	308	21	9	272	70	-2	-0	—	—	+1	-0.1
2024	22	A+ MLE	Eugene Emeralds	—	70	64	12	3	0	1	4	30	1	1	0	188	246	281	528	94	329	43	6	242	50	-4	+0	—	—	+2	-0.3
2024	22	A MLE	San Jose Giants	—	276	228	43	9	1	1	37	70	10	10	4	189	327	250	577	61	260	25	13	269	68	-10	+0	—	—	+6	-0.4
2025	23	A+ MLE	Eugene Emeralds	—	230	200	42	5	0	3	20	69	4	11	3	210	295	280	575	70	282	30	9	268	68	-9	+1	—	—	+5	-0.3
2023	21	A MLE	San Jose Giants	—	67	59	14	2	0	0	6	14	2	1	1	237	328	271	600	34	311	21	9	272	70	—	—	—	—	—	—
2023	21	A RAW	San Jose Giants	—	67	57	17	3	0	0	8	10	2	1	1	298	403	351	754	53	362	15	12	352	70	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	346	292	54	11	1	2	41	100	11	11	4	185	308	250	558	65	272	29	12	264	65	—	—	—	—	—	—
2024	22	A RAW	2 teams	—	346	276	66	15	2	3	57	71	11	11	4	239	390	341	730	101	310	21	16	342	65	—	—	—	—	—	—
2025	23	A+ MLE	Eugene Emeralds	—	230	200	42	5	0	3	20	69	4	11	3	210	295	280	575	70	293	30	9	268	68	—	—	—	—	—	—
2025	23	A+ RAW	Eugene Emeralds	—	230	186	49	7	0	4	34	53	4	11	3	263	388	366	754	102	336	23	15	341	68	—	—	—	—	—	—
2023	21	A MLE	San Jose Giants	—	67	59	14	2	0	0	6	14	2	1	1	237	328	271	600	34	308	21	9	272	70	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	346	291	54	11	1	2	41	100	11	11	4	186	308	251	559	65	274	29	12	264	65	—	—	—	—	—	—
2025	23	A+ MLE	Eugene Emeralds	—	230	204	42	5	0	3	20	69	4	11	3	206	295	275	569	69	282	30	9	268	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A MLE	San Jose Giants	—	67	59	14	2	0	0	6	14	2	1	1	237	328	271	600	34	308	21	9	272	70	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	346	291	54	11	1	2	41	100	11	11	4	186	308	251	559	65	274	29	12	264	65	—	—	—	—	—	—
2025	23	A+ MLE	Eugene Emeralds	—	230	204	42	5	0	3	20	69	4	11	3	206	295	275	569	69	282	30	9	268	68	—	—	—	—	—	—
YTD	24	A+ MLE	DET	—	243	210	52	9	1	8	23	67	6	8	4	248	339	414	753	167	317	28	9	329	109	+2	+0	+0	+4	+5	1.2
▸ 2026 season
YTD	24	A+ RAW	DET	—	173	140	35	5	0	4	25	37	6	5	3	250	386	371	757	121	307	21	14	348	109	—	—	—	—	—	—
YTD	24	AA RAW	DET	—	70	60	25	6	1	6	8	14	0	3	1	417	485	850	1.335	433	452	20	11	546	109	—	—	—	—	—	—
ROS	24	A+ MLE	DET	0%	24	21	4	1	0	0	2	7	1	1	0	190	292	238	530	48	295	29	8	296	87	-0	+0	+0	+0	+1	0.1
TOT	24	A+ MLE	DET	—	267	231	56	10	1	8	25	74	7	9	4	242	335	398	733	156	314	28	9	326	107	+2	+0	+0	+5	+6	1.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	DET	38%	294	258	57	10	1	6	29	79	5	7	3	221	312	337	649	116	294	27	10	300	89	-4	+0	+0	+5	+6	0.8
2028	26	MLB MLE	DET	55%	354	310	69	12	1	8	35	93	6	8	3	223	313	345	659	123	294	26	10	303	91	-4	+0	+0	+6	+8	1.1
2029	27	MLB MLE	DET	61%	379	331	75	13	1	9	38	100	7	8	3	227	319	353	673	127	293	26	10	304	92	-4	+0	+0	+7	+8	1.2
2030	28	MLB MLE	DET	65%	395	345	78	14	1	9	40	104	7	8	3	226	319	351	670	125	293	26	10	304	92	-4	+0	-1	+7	+9	1.2
2031	29	MLB MLE	DET	64%	396	346	78	14	1	9	40	105	7	8	3	225	318	350	668	124	292	27	10	302	90	-5	+0	-1	+7	+9	1.0
2032	30	MLB MLE	DET	64%	395	345	76	14	1	8	40	106	7	8	3	220	314	336	650	116	290	27	10	299	88	-5	+0	-2	+7	+9	0.9
2033	31	MLB MLE	DET	70%	372	325	72	13	1	8	38	101	6	7	3	222	314	342	656	120	288	27	10	295	86	-6	+0	-3	+7	+8	0.6
2034	32	MLB MLE	DET	68%	345	301	65	11	1	7	35	95	6	6	2	216	310	329	639	113	285	28	10	289	82	-7	+0	-4	+6	+7	0.3
2035	33	MLB MLE	DET	72%	308	269	56	9	1	6	31	86	5	5	2	208	302	316	618	108	280	28	10	282	77	-8	+0	-4	+6	+7	-0.0
2027	25	MLB CTX	DET	38%	112	98	21	4	0	2	11	30	2	2	1	214	306	316	623	102	289	27	10	282	89	-1	+0	+0	+2	+2	0.3
2028	26	MLB CTX	DET	55%	196	171	38	7	1	4	19	52	4	4	2	222	314	345	659	123	289	27	10	285	91	-2	+0	+0	+4	+4	0.6
2029	27	MLB CTX	DET	61%	233	204	45	8	1	5	23	61	4	5	2	221	312	343	655	123	288	26	10	286	92	-2	+0	+0	+4	+5	0.7
2030	28	MLB CTX	DET	65%	255	223	50	9	1	6	26	67	4	5	2	224	316	354	670	130	288	26	10	286	92	-3	+0	-0	+5	+6	0.7
2031	29	MLB CTX	DET	64%	255	223	49	9	1	5	26	68	4	5	2	220	312	336	649	117	287	27	10	284	90	-3	+0	-1	+5	+6	0.7
2032	30	MLB CTX	DET	64%	254	222	48	8	1	5	26	68	4	5	2	216	310	329	638	113	286	27	10	281	88	-4	+0	-1	+5	+6	0.5
2033	31	MLB CTX	DET	70%	260	228	49	9	1	5	26	70	4	5	2	215	306	329	635	114	283	27	10	277	86	-4	+0	-2	+5	+6	0.4
2034	32	MLB CTX	DET	68%	233	204	42	7	1	4	23	64	4	4	2	206	299	309	608	103	280	27	10	272	82	-5	+0	-2	+4	+5	0.2
2035	33	MLB CTX	DET	72%	222	194	41	7	1	4	22	62	4	3	1	211	305	320	624	108	276	28	10	266	77	-6	+0	-3	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2020	1767	383	68	8	40	202	542	34	38	16	217	309	332	641	115	287	27	10	280	84	-30	+1	-10	+36	+44	4.2
/ 162G	—	A+C		—	650	569	124	22	3	13	65	174	11	12	5	218	311	336	646	118	288	27	10	280	84	-10	+0	-3	+12	+14	1.3
Career	—	MLE		—	3905	3402	740	129	10	75	395	1059	74	89	33	218	312	327	640	110	290	27	10	293	84	-48	+3	-15	+58	+71	7.1
/ 162G	—	MLE		—	650	566	123	21	2	12	66	176	12	15	5	217	312	325	637	108	291	27	10	293	84	-10	+1	-3	+12	+14	1.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Austin Barneslast yr '24 career totals — 8 seasons, 1,639 PA	2.5	1,639	35	22	225	325	344	+29	+59	12.4	12.5
/162	664	14	9	+11.9	+23.8	5.0	pk7: 13
#3Bobby 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
#4Danny 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
#5Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.0	2,021	43	40	222	311	341	+36	+24	6.1	5.8
/162	664	14	13	+11.9	+7.9	2.0	pk7: 5
#6Yolmer 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

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
Luke Shliger (OGILVIE)	24	45	35	55	60	218/312/329	111	295	4	6	27%	10%	87	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nolan Fontana 2014 · A	23	45→43	40	52→50	59	208/323/305	98	291	7	14	28%	14%	85	+0.2	207/302/294	87	304	4	9	29%	12%	74	-0.6	184/288/307	123	253	11	12	29%	12%	71	-0.3
✕James Skelton 2010 · AA	24	47→57	39→40	49→50	57	222/317/306	84	289	6	13	23%	12%	82	-0.0	221/316/310	89	293	6	11	24%	12%	82	+0.0	229/331/314	85	302	5	10	23%	12%	88	+0.1
✕Sherman Johnson 2014 · A	24	48→50	38→45	52→50	52	225/305/316	91	295	4	9	24%	10%	79	-0.2	214/292/334	120	266	11	14	22%	10%	78	-0.3	201/283/322	120	245	12	16	22%	10%	70	-0.8
✕Hoy Park 2019 · A	23	46→49	39→45	55	51	217/298/301	85	285	6	17	25%	9%	74	-0.6	228/306/324	96	300	7	16	24%	9%	81	-0.1	215/302/326	111	288	12	18	27%	10%	79	-0.2
✕Drew Millas 2022 · A	24	48	38→45	51→50	53	224/302/304	80	277	5	14	20%	10%	76	-0.4	228/300/332	104	295	9	12	24%	9%	81	-0.1	250/306/369	119	290	10	17	17%	7%	88	+0.2
✕Damon Sublett 2010 · A	24	48→49	40→45	50	49	222/303/328	106	316	5	9	29%	10%	81	-0.1	220/297/326	106	321	6	7	30%	10%	78	-0.3	220/298/331	111	325	7	2	31%	10%	77	-0.1
✕Joe Sclafani 2014 · A	24	48	41→40	52→50	53	229/308/335	106	280	7	14	20%	9%	85	+0.2	254/315/331	77	307	4	11	17%	8%	85	+0.2	278/333/337	59	331	2	10	16%	7%	89	+0.3
✕Conner Crumbliss 2011 · A	24	48→49	38→45	49→50	61	223/329/310	87	281	5	12	20%	13%	88	+0.4	224/324/325	101	280	8	15	21%	12%	89	+0.5	219/323/327	108	268	10	16	20%	12%	87	+0.3
✕Logan Vick 2014 · A	23	48	41→45	51→50	54	226/318/331	106	305	7	15	26%	12%	88	+0.4	195/285/290	95	293	7	13	32%	11%	66	-1.1	147/250/227	80	231	5	13	35%	11%	38	-2.1
✕Anthony Seigler 2023 · A	24	41→39	42→45	46→55	56	196/304/308	112	272	9	11	28%	13%	78	-0.3	197/295/308	111	251	10	20	24%	12%	75	-0.5	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Terrin Vavra 2021 · A	24	47→48	43→45	47→50	49	230/289/341	110	276	10	12	20%	8%	78	-0.3	246/322/355	109	321	8	11	24%	9%	94	+0.9	258/340/363	104	339	6	11	23%	9%	99	+0.5
✕Tanner Morris 2022 · A	24	51→52	41→40	48→40	48	240/314/339	98	322	8	5	26%	9%	88	+0.4	235/319/323	88	311	7	4	24%	10%	86	+0.3	239/331/319	80	311	7	1	23%	11%	86	+0.2
✕Shane McGuire 2023 · A	24	49	37→40	49→45	53	228/320/302	73	298	4	7	23%	10%	82	-0.0	212/296/290	78	285	6	7	25%	10%	70	-0.8	210/296/292	82	276	8	9	25%	10%	68	-0.4
✕Kobe Kato 2023 · A	24	47	42→40	46→55	54	224/310/326	102	281	9	10	22%	10%	84	+0.1	215/295/302	87	300	5	22	27%	9%	72	-0.7	198/286/279	81	284	5	29	29%	10%	61	-0.5
✕Shayne Fontana 2021 · A	24	48	40→45	52→55	45	226/293/329	103	298	6	13	25%	7%	78	-0.3	205/288/312	107	296	10	10	31%	9%	72	-0.7	217/300/310	94	291	10	19	27%	8%	75	-0.3
✕Alden Carrithers 2009 · A	24	50→60	39→30	56→55	54	236/326/326	90	294	6	18	20%	10%	90	+0.6	260/333/324	64	313	2	15	16%	9%	91	+0.6	278/352/333	55	322	1	17	12%	10%	97	+0.7
✕Scott Wingo 2013 · A	24	46→45	38→40	48→50	50	213/305/296	83	285	5	11	25%	9%	76	-0.4	207/301/294	87	292	6	10	28%	9%	74	-0.6	187/297/271	84	273	6	9	30%	10%	65	-0.8
✕Tucker Bradley 2022 · A	24	48→53	41→45	54→50	46	227/299/335	107	310	8	11	28%	8%	81	-0.1	243/306/369	126	316	11	15	25%	8%	91	+0.7	250/313/384	134	318	12	17	24%	8%	95	+0.6
✕Mike McQuillan 2014 · A	24	51	38→40	51→50	47	235/302/318	83	325	4	14	27%	9%	78	-0.3	204/287/307	103	305	9	9	33%	9%	71	-0.8	156/263/258	102	237	10	5	35%	11%	50	-1.2
✕Andy Paz 2017 · AA	24	50	38→40	51→45	47	238/292/318	79	305	5	7	23%	7%	74	-0.6	224/272/294	70	295	5	9	24%	6%	61	-1.5	203/243/222	19	273	0	7	24%	5%	30	-1.2

Career Stats + Projections

Career Comps

Career Path Comps