Jake Slaughter — OGILVIE

Jake SlaughterSS Tacoma Rainiers

Age 29 R/R 6'1" / 200 lbs AAA K +7%HR -5% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION0 act + 0 ros · stats below = ROS only

showingROS

wRC+†83

AVG/OBP/SLG—

PA2

HR0

K%50

BB%5

BABIP305

ISO53

MLB%10%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · ContractCON 27 / POW 41

Toolsscout grade

CONTACT27

scouting grade only

POWER41

scouting grade only

EYE43

scouting grade only

SPEED57

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2029	Pre-Arb	$0.8M	—	—	—
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.3M	+$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)
2019	22	A	South Bend Cubs	—	121	108	30	5	1	1	8	22	2	0	0	278	339	370	709	93	330	18	7	314	99	-0	+0	—	—	+3	0.2
2021	24	AA	Tennessee Smokies	—	24	19	1	1	0	0	2	11	3	0	0	53	250	105	355	53	125	46	8	204	24	-2	+0	—	—	+1	-0.2
2021	24	A+	South Bend Cubs	—	375	341	86	11	3	3	21	101	10	16	7	252	315	328	643	76	347	27	6	292	84	-7	+0	—	—	+8	0.1
2022	25	AA	Tennessee Smokies	—	386	328	96	17	1	20	37	83	17	28	8	293	393	534	926	241	332	22	10	404	159	+27	+2	—	—	+8	3.9
2022	25	A+	South Bend Cubs	—	84	73	18	4	0	3	10	22	1	8	0	247	345	425	770	178	312	26	12	346	120	+2	+2	—	—	+2	0.6
2023	26	AAA	Iowa Cubs	—	432	371	90	21	1	22	46	119	11	16	6	243	343	482	826	240	291	28	11	361	131	+16	+1	—	—	+9	2.7
2024	27	AAA	Tacoma Rainiers	—	498	441	124	27	0	15	44	130	10	21	8	281	360	444	804	163	365	26	9	358	128	+17	+1	—	—	+11	2.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	22	A MLE	South Bend Cubs	—	121	110	26	4	1	1	6	31	2	0	0	236	288	318	606	82	283	26	5	252	57	-6	+0	—	—	+3	-0.4
2021	24	AA MLE	Tennessee Smokies	—	24	20	1	1	0	0	1	14	3	0	0	50	208	100	308	50	107	58	4	151	-12	-3	+0	—	—	+1	-0.3
2021	24	A+ MLE	South Bend Cubs	—	375	347	71	8	2	2	15	135	10	16	7	205	258	256	515	52	318	36	4	231	42	-26	+0	—	—	+8	-1.7
2022	25	AA MLE	Tennessee Smokies	—	386	338	86	16	1	15	27	106	17	28	8	254	340	441	781	186	311	27	7	335	113	+6	+2	—	—	+8	1.7
2022	25	A+ MLE	South Bend Cubs	—	84	76	14	3	0	2	7	30	1	8	0	184	262	303	565	118	259	36	8	255	59	-4	+2	—	—	+2	-0.1
2023	26	AAA MLE	Iowa Cubs	—	432	386	76	17	1	16	31	140	11	16	6	197	276	370	646	174	253	32	7	282	77	-12	+1	—	—	+9	-0.2
2024	27	AAA MLE	Tacoma Rainiers	—	498	454	99	20	0	10	31	167	10	21	8	218	283	328	611	110	317	34	6	271	70	-18	+1	—	—	+11	-0.6
2019	22	A MLE	South Bend Cubs	—	121	110	26	4	1	1	6	31	2	0	0	236	288	318	606	82	309	26	5	252	57	—	—	—	—	—	—
2019	22	A RAW	South Bend Cubs	—	121	108	30	5	1	1	8	22	2	0	0	278	339	370	709	93	330	18	7	314	57	—	—	—	—	—	—
2021	24	A+ MLE	2 teams	—	399	366	72	9	2	2	17	148	13	16	7	197	258	249	506	52	321	37	4	226	39	—	—	—	—	—	—
2021	24	A+ RAW	2 teams	—	399	360	87	12	3	3	23	112	13	16	7	242	311	317	627	75	340	28	6	287	39	—	—	—	—	—	—
2022	25	AA MLE	2 teams	—	470	414	99	18	1	17	34	135	18	36	8	239	324	411	735	171	308	29	7	321	103	—	—	—	—	—	—
2022	25	AA RAW	2 teams	—	470	401	114	21	1	23	47	105	18	36	8	284	384	514	898	229	329	22	10	393	103	—	—	—	—	—	—
2023	26	AAA MLE	Iowa Cubs	—	432	386	76	17	1	16	31	140	11	16	6	197	276	370	646	174	256	32	7	282	77	—	—	—	—	—	—
2023	26	AAA RAW	Iowa Cubs	—	432	371	90	21	1	22	46	119	11	16	6	243	343	482	826	240	291	28	11	361	77	—	—	—	—	—	—
2024	27	AAA MLE	Tacoma Rainiers	—	498	454	99	20	0	10	31	167	10	21	8	218	283	328	611	110	318	34	6	271	70	—	—	—	—	—	—
2024	27	AAA RAW	Tacoma Rainiers	—	498	441	124	27	0	15	44	130	10	21	8	281	360	444	804	163	365	26	9	358	70	—	—	—	—	—	—
2019	22	A MLE	South Bend Cubs	—	121	112	26	4	1	1	6	31	2	0	0	232	288	312	601	80	283	26	5	252	57	—	—	—	—	—	—
2021	24	A+ MLE	2 teams	—	399	366	72	9	2	2	17	148	13	16	7	197	258	249	506	52	305	37	4	226	39	—	—	—	—	—	—
2022	25	AA MLE	2 teams	—	470	415	99	18	1	17	34	135	18	36	8	239	324	410	734	171	302	29	7	321	103	—	—	—	—	—	—
2023	26	AAA MLE	Iowa Cubs	—	432	387	76	17	1	16	31	140	11	16	6	196	276	370	645	173	253	32	7	282	77	—	—	—	—	—	—
2024	27	AAA MLE	Tacoma Rainiers	—	498	454	99	20	0	10	31	167	10	21	8	218	283	328	611	110	317	34	6	271	70	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	26	AAA MLE	Iowa Cubs	—	432	387	76	17	1	16	31	140	11	16	6	196	276	370	645	173	253	32	7	282	77	—	—	—	—	—	—
2024	27	AAA MLE	Tacoma Rainiers	—	498	454	99	20	0	10	31	167	10	21	8	218	283	328	611	110	317	34	6	271	70	—	—	—	—	—	—
▸ 2026 season
2026	29	MLB MLE	SEA	10%	20	19	4	1	0	0	1	6	0	1	0	211	250	263	513	53	308	30	5	291	83	-0	+0	+0	+0	+0	0.5
▸ 2026 — real world (MLB)
2026	29	MLB CTX	SEA	10%	2	2	0	0	0	0	0	1	0	0	0						305	50	0	273	83	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	30	MLB MLE	SEA	33%	323	292	67	14	1	8	22	97	6	9	3	229	297	366	663	137	306	30	7	292	84	-6	+1	-2	+3	+7	0.3
2028	31	MLB MLE	SEA	46%	329	297	67	14	1	8	23	98	6	8	3	226	294	360	655	135	302	30	7	290	83	-7	+0	-3	+4	+7	0.1
2029	32	MLB MLE	SEA	54%	324	292	65	13	1	8	23	97	6	6	2	223	293	356	649	134	299	30	7	287	80	-8	+0	-4	+3	+7	-0.0
2027	30	MLB CTX	SEA	33%	106	96	21	4	0	3	7	32	2	3	1	219	286	354	640	135	303	30	7	275	84	-2	+0	-1	+1	+2	0.1
2028	31	MLB CTX	SEA	46%	151	137	30	6	0	4	10	45	3	4	1	219	287	350	637	131	300	30	7	274	83	-3	+0	-1	+2	+3	0.1
2029	32	MLB CTX	SEA	54%	174	157	34	7	0	4	12	52	3	3	1	217	285	338	622	121	296	30	7	271	80	-4	+0	-2	+2	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	431	390	85	17	0	11	29	129	8	10	3	218	286	346	632	128	292	30	7	273	76	-9	+1	-4	+5	+9	0.2
/ 162G	—	A+C		—	650	588	129	26	0	17	44	195	12	15	5	219	288	350	638	131	294	30	7	273	76	-14	+1	-6	+7	+14	0.2
Career	—	MLE		—	2916	2630	575	110	8	70	188	919	72	113	37	219	289	346	635	128	304	32	6	280	76	-21	+2	-8	+11	+22	0.4
/ 162G	—	MLE		—	650	586	129	25	2	16	42	205	16	25	8	220	290	352	642	131	305	32	6	280	76	-14	+1	-5	+7	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby 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
#2Danny 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
#3Darwin Barneylast yr '17 career totals — 7 seasons, 2,729 PA	4.1	2,729	29	29	246	294	339	+10	+46	6.5	6.5
/162	664	7	7	+2.5	+11.2	1.6	pk7: 7
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#5Yolmer 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
#6Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.7	455	11	11	224	289	354	+5	+3	0.7	0.7
/162	664	16	16	+7.1	+4.4	1.0	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
Jake Slaughter (OGILVIE)	29	27	41	57	43	223/289/353	130	308	6	8	31%	7%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ryan Cordell 2021 · MLB	29	43	46→50	49→50	42	215/271/341	126	287	13	11	30%	6%	72	-0.7	204/270/355	151	326	19	14	41%	7%	76	-0.4	143/213/283	140	229	22	18	47%	7%	37	-1.2
✕Camden Duzenack 2023 · AAA	28	39→36	49→50	51→50	37	207/247/351	144	269	17	13	30%	4%	65	-1.2	231/288/355	124	292	12	10	24%	6%	82	-0.0	243/308/345	102	303	9	6	22%	6%	84	+0.1
✕Justin Leone 2006 · MLB	29	43→41	46→50	48→55	46	212/289/341	129	297	13	8	31%	9%	80	-0.2	211/289/355	144	273	17	13	28%	9%	83	+0.1	202/286/351	149	254	18	16	27%	10%	79	-0.2
✕Drew Jackson 2022 · AAA	29	43→45	44→45	57→55	47	208/299/326	119	302	12	28	33%	10%	80	-0.1	215/294/327	112	353	11	21	38%	9%	78	-0.3	184/262/253	69	352	8	20	46%	8%	45	-0.9
✕Christian Lopes 2022 · AAA	29	44→51	47→45	49→50	46	218/300/356	138	295	15	11	30%	9%	87	+0.4	214/288/327	113	314	10	11	32%	8%	76	-0.4	188/264/265	77	288	4	9	33%	8%	51	-0.8
✕Kyle Datres 2023 · AA	27	42	49→50	56→55	44	214/290/357	143	288	17	23	31%	8%	84	+0.1	208/287/335	127	289	15	21	31%	9%	78	-0.3	192/278/307	115	267	14	21	31%	9%	66	-0.5
✕Mario Lisson 2013 · AA	29	46→49	48→50	54→55	45	232/295/380	148	295	15	19	26%	7%	91	+0.6	230/293/369	139	289	16	11	25%	7%	87	+0.4	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Jonathan Davis 2022 · MLB	30	40→50	43→45	52→55	48	196/301/308	112	267	11	19	28%	9%	78	-0.3	223/307/334	111	306	10	22	28%	9%	84	+0.2	221/304/328	106	311	9	22	29%	9%	79	-0.1
✕Skye Bolt 2023 · MLB	29	47→41	50	54→50	44	240/301/394	154	301	19	14	26%	7%	96	+1.0	229/299/343	114	320	11	10	29%	8%	83	+0.1	221/298/307	86	323	6	5	31%	9%	73	-0.2
✕Tim Lopes 2023 · MLB	29	41→51	46→45	50→55	41	206/264/333	127	272	13	15	29%	6%	68	-1.0	228/297/341	113	317	11	28	29%	9%	82	-0.0	231/308/329	97	325	10	39	29%	10%	79	-0.2
✕David Matranga 2008 · AAA	31	40	46→45	51→50	43	206/275/329	123	266	14	13	28%	7%	72	-0.7	219/296/344	125	296	13	9	29%	8%	82	+0.0	211/297/329	119	288	12	5	29%	9%	78	-0.1
✕Niko Vasquez 2019 · AAA	30	46→41	48→50	47→45	42	234/288/376	142	298	16	10	27%	6%	87	+0.4	217/280/334	117	303	13	9	31%	7%	74	-0.5	189/254/277	88	267	12	4	32%	6%	50	-0.9
✕JaCoby Jones 2020 · MLB	28	45→47	49→50	52→50	42	225/290/384	159	305	15	14	30%	7%	89	+0.5	217/278/360	143	326	15	9	36%	7%	80	-0.2	190/245/303	113	313	13	5	41%	6%	51	-0.8
✕Luis Aviles Jr. 2023 · AAA	28	40→42	48→50	54→55	36	210/247/357	147	281	16	16	31%	4%	67	-1.1	212/259/341	129	290	14	21	31%	5%	68	-1.0	196/246/312	117	265	13	29	30%	5%	53	-1.4
✕Tyler Saladino 2019 · MLB	30	45→47	43→45	51→55	46	222/287/329	107	284	11	16	25%	8%	75	-0.5	220/290/381	161	284	20	14	29%	8%	89	+0.5	199/274/379	180	248	24	14	30%	9%	80	-0.1
✕Chris Owings 2021 · MLB	29	43→53	47→50	48→55	41	216/273/348	132	293	15	15	31%	7%	75	-0.5	207/275/346	139	293	15	12	32%	8%	75	-0.5	183/262/297	114	263	14	11	34%	9%	56	-1.0
✕Lorenzo Quintana 2019 · AA	30	41	49→55	48→45	41	214/264/370	156	250	17	12	22%	5%	77	-0.3	237/281/395	158	290	19	8	25%	4%	89	+0.5	234/280/390	156	286	19	3	25%	4%	84	+0.1
✕Aaron Sisk 2007 · AA	28	39	49→50	48→45	43	205/263/348	142	263	17	10	29%	7%	71	-0.8	223/279/369	146	284	18	8	27%	7%	82	-0.0	227/285/382	154	278	22	3	26%	6%	86	+0.1
✕Jett Bandy 2019 · MLB	29	43	48→50	47→45	42	221/286/359	138	263	16	6	23%	5%	83	+0.1	206/271/343	137	270	17	5	30%	5%	74	-0.6	172/238/290	118	231	17	0	33%	5%	47	-0.8
✕Narciso Crook 2023 · AAA	28	43	50	48→50	39	215/284/368	153	314	17	14	36%	7%	84	+0.1	208/286/343	135	332	14	15	39%	8%	79	-0.2	170/265/285	115	293	12	17	42%	9%	57	-1.0

Career Stats + Projections

Career Comps

Career Path Comps