Jake Gelof — OGILVIE

Jake Gelof3B Tulsa Drillers

Age 24 R/R 6'0" / 195 lbs AA HR +8%BB -8% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION517 act + 10 ros · stats below = ROS only

showingROS

wRC+†92

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP261

ISO173

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$29M ctrl surplus

Tools · ContractCON 35 / POW 55

Toolsscout grade

CONTACT35

scouting grade only

POWER55

scouting grade only

EYE50

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2030	Pre-Arb	$0.9M	+0.9	$3M	+$2M
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Arb-1	$3M	+0.6	$2M	+$0.1M
2033	Arb-2	$3M	+0.4	$0.9M	+$0.0M (cut)
2034	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$10M	+$6M

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)
2023	21	A	Rancho Cucamonga Quakes	—	137	120	27	8	1	5	16	41	0	2	1	225	316	433	750	208	293	30	12	330	110	+2	+0	—	—	+3	0.5
2023	21	ROK	ACL Dodgers	—	17	13	3	1	1	1	4	5	0	2	0	231	412	692	1.104	462	286	29	24	457	195	+2	+0	—	—	+0	0.3
2024	22	A+	Great Lakes Loons	—	346	296	55	16	0	8	39	72	2	17	4	186	285	321	606	135	209	21	11	271	70	-12	+2	—	—	+7	-0.3
2024	22	A	Rancho Cucamonga Quakes	—	117	87	27	4	3	2	27	31	0	3	0	310	474	494	968	184	439	26	23	421	171	+10	+1	—	—	+3	1.3
2024	22	INTL	Glendale Desert Dogs	—	71	58	10	2	1	2	11	20	1	1	0	172	314	345	659	172	216	28	15	300	89	-1	+0	—	—	+2	0.1
2025	23	A+	Great Lakes Loons	—	362	313	70	24	0	16	44	96	1	11	7	224	321	454	775	230	263	27	12	339	116	+7	-1	—	—	+8	1.4
2025	23	ROK	ACL Dodgers	—	23	17	6	5	0	1	5	6	0	0	2	353	500	824	1.324	471	455	26	22	521	239	+4	-1	—	—	+0	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	21	A MLE	Rancho Cucamonga Quakes	—	137	124	20	5	1	4	12	56	0	2	1	161	235	315	550	153	249	41	9	241	49	-8	+0	—	—	+3	-0.5
2023	21	ROK MLE	ACL Dodgers	—	17	15	3	1	1	1	2	7	0	2	0	200	294	600	894	400	198	41	12	294	85	-0	+0	—	—	+0	0.0
2024	22	A+ MLE	Great Lakes Loons	—	346	308	45	13	0	6	27	98	2	17	4	146	220	247	466	101	176	28	8	212	30	-29	+2	—	—	+7	-2.0
2024	22	A MLE	Rancho Cucamonga Quakes	—	117	94	21	3	2	2	20	43	0	3	0	223	360	362	721	138	348	37	17	323	105	+1	+1	—	—	+3	0.4
2025	23	A+ MLE	Great Lakes Loons	—	362	327	55	19	0	12	30	132	1	11	7	168	240	336	577	168	227	36	8	255	59	-18	-1	—	—	+8	-1.1
2025	23	ROK MLE	ACL Dodgers	—	23	19	4	3	0	1	3	9	0	0	2	211	318	526	844	316	288	39	13	346	120	+1	-1	—	—	+0	0.0
2023	21	A MLE	2 teams	—	154	139	22	6	1	5	14	64	0	4	1	158	235	324	559	165	239	42	9	247	53	—	—	—	—	—	—
2023	21	A RAW	2 teams	—	154	133	30	9	2	6	20	46	0	4	1	226	327	459	785	233	293	30	13	344	53	—	—	—	—	—	—
2024	22	A+ MLE	3 teams	—	534	465	76	19	2	9	53	163	3	21	4	163	253	271	524	108	219	31	10	240	49	—	—	—	—	—	—
2024	22	A+ RAW	3 teams	—	534	441	92	22	4	12	77	123	3	21	4	209	330	358	688	150	251	23	14	308	49	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	385	345	59	22	0	13	34	141	1	11	9	171	247	348	595	177	235	37	9	260	62	—	—	—	—	—	—
2025	23	A+ RAW	2 teams	—	385	330	76	29	0	17	49	102	1	11	9	230	332	473	804	242	273	26	13	350	62	—	—	—	—	—	—
2023	21	A MLE	2 teams	—	154	139	22	6	1	5	14	64	0	4	1	158	235	324	559	165	243	42	9	247	53	—	—	—	—	—	—
2024	22	A+ MLE	3 teams	—	534	473	76	19	2	9	53	163	3	21	4	161	253	266	520	106	219	31	10	240	49	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	385	347	59	22	0	13	34	141	1	11	9	170	247	346	593	176	231	37	9	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A MLE	2 teams	—	154	139	22	6	1	5	14	64	0	4	1	158	235	324	559	165	243	42	9	247	53	—	—	—	—	—	—
2024	22	A+ MLE	3 teams	—	534	473	76	19	2	9	53	163	3	21	4	161	253	266	520	106	219	31	10	240	49	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	385	347	59	22	0	13	34	141	1	11	9	170	247	346	593	176	231	37	9	260	62	—	—	—	—	—	—
YTD	24	AA MLE	LAD	—	517	448	97	19	0	26	56	172	2	10	1	217	306	433	739	217	272	33	11	322	104	+2	+2	+0	+2	+11	1.7
▸ 2026 season
YTD	24	AA RAW	LAD	—	517	422	113	23	0	33	82	141	2	10	1	268	389	557	946	289	309	27	16	403	104	—	—	—	—	—	—
ROS	24	AA MLE	LAD	2%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		264	30	10	305	92	-0	+0	+0	+0	+0	0.0
TOT	24	AA MLE	LAD	—	527	457	98	19	0	26	57	175	2	10	1	214	304	427	731	212	270	33	11	322	104	+2	+2	+0	+2	+11	1.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	LAD	39%	558	493	105	23	1	24	58	180	2	9	2	213	298	410	708	197	273	32	10	311	97	-2	+1	+0	+2	+12	1.3
2028	26	MLB MLE	LAD	56%	578	511	110	24	1	25	59	182	3	10	2	215	300	413	713	198	274	31	10	313	98	-1	+1	+0	+2	+13	1.5
2029	27	MLB MLE	LAD	62%	583	515	112	24	1	25	60	182	3	10	2	217	303	414	716	196	275	31	10	314	98	-1	+1	+0	+2	+13	1.5
2030	28	MLB MLE	LAD	65%	582	514	111	24	1	24	60	181	3	10	2	216	302	407	708	191	275	31	10	313	98	-1	+1	-1	+2	+13	1.4
2031	29	MLB MLE	LAD	64%	577	509	109	23	1	24	60	180	3	9	2	214	301	405	705	191	274	31	10	311	97	-2	+1	-1	+2	+13	1.2
2032	30	MLB MLE	LAD	64%	570	503	107	23	1	23	59	180	3	9	2	213	299	400	699	187	272	32	10	308	95	-4	+1	-2	+2	+12	1.0
2033	31	MLB MLE	LAD	64%	561	495	102	22	0	22	58	179	3	8	2	206	293	384	677	178	269	32	10	304	92	-5	+1	-3	+2	+12	0.7
2034	32	MLB MLE	LAD	64%	384	339	68	14	0	15	40	124	2	5	1	201	289	375	663	174	265	32	10	298	88	-6	+1	-4	+1	+8	0.1
2035	33	MLB MLE	LAD	64%	355	314	62	13	0	13	37	116	1	4	1	197	284	363	647	166	260	33	10	291	83	-7	+0	-4	+1	+8	-0.2
2027	25	MLB CTX	LAD	39%	216	191	41	9	0	10	22	70	1	4	1	215	299	419	718	204	270	32	10	310	97	-1	+0	+0	+1	+5	0.5
2028	26	MLB CTX	LAD	56%	323	286	60	13	0	14	33	102	1	6	1	210	294	402	696	192	271	32	10	311	98	-1	+1	+0	+1	+7	0.8
2029	27	MLB CTX	LAD	62%	359	317	69	14	1	16	37	112	2	6	1	218	303	420	723	202	272	31	10	311	98	-1	+1	+0	+1	+8	0.9
2030	28	MLB CTX	LAD	65%	376	332	72	15	1	16	39	117	2	6	1	217	303	413	716	196	272	31	10	310	98	-1	+1	-0	+1	+8	0.9
2031	29	MLB CTX	LAD	64%	372	328	70	15	0	16	39	116	2	6	1	213	301	405	706	192	271	31	10	309	97	-2	+1	-1	+1	+8	0.8
2032	30	MLB CTX	LAD	64%	367	324	67	14	0	15	38	116	2	5	1	207	294	389	683	182	269	32	10	306	95	-2	+1	-1	+1	+8	0.6
2033	31	MLB CTX	LAD	64%	361	318	66	14	0	15	38	115	2	5	1	208	296	393	689	186	266	32	11	302	92	-4	+1	-2	+1	+8	0.4
2034	32	MLB CTX	LAD	64%	247	218	44	9	0	10	26	80	1	3	1	202	290	381	671	179	262	32	11	296	88	-4	+0	-2	+1	+5	0.1
2035	33	MLB CTX	LAD	64%	228	201	40	8	0	9	24	75	1	2	1	199	288	373	661	174	257	33	11	289	83	-5	+0	-3	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2849	2515	529	111	2	121	296	903	14	43	9	210	297	400	697	190	271	32	10	306	87	-19	+5	-9	+10	+62	5.0
/ 162G	—	A+C		—	650	574	120	25	0	28	68	206	3	10	2	209	296	399	695	190	268	32	10	306	87	-4	+1	-2	+2	+14	1.1
Career	—	MLE		—	5831	5151	1044	237	9	222	593	1875	27	110	30	203	288	381	670	179	265	32	10	297	87	-30	+8	-15	+17	+103	8.5
/ 162G	—	MLE		—	650	574	116	26	1	25	66	209	3	12	3	202	288	382	669	179	264	32	10	297	87	-4	+1	-2	+2	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Colby Rasmuslast yr '17 career totals — 9 seasons, 4,070 PA	6.1	4,070	165	35	242	311	438	-0	+8	16.7	16.2
/162	664	27	6	-0.0	+1.3	2.7	pk7: 16
#2Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#3Danny 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
#4Pedro Álvarezlast yr '18 career totals — 8 seasons, 3,287 PA	5.0	3,287	161	15	235	309	447	+1	-40	10.0	10.2
/162	664	33	3	+0.2	-8.0	2.0	pk7: 10
#5Maikel Francolast yr '22 career totals — 9 seasons, 3,573 PA	5.4	3,573	130	5	244	293	414	+13	-5	9.3	9.6
/162	664	24	1	+2.4	-1.0	1.7	pk7: 10
#6Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	4.3	2,855	117	44	211	294	398	+10	+2	7.1	6.9
/162	664	27	10	+2.4	+0.6	1.7	pk7: 7

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 Gelof (OGILVIE)	24	35	55	50	50	202/288/394	191	264	14	6	33%	10%	92	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jonny DeLuca 2022 · A	24	40→37	53→60	56→55	45	216/275/390	173	253	21	15	24%	7%	85	+0.2	224/289/407	183	256	22	16	22%	7%	95	+0.9	221/290/400	179	249	21	19	21%	7%	91	+0.4
✕Jared Keel 2009 · A	24	39→38	52→50	48→45	47	207/289/373	166	249	20	10	26%	8%	88	+0.4	205/291/350	145	262	16	7	27%	9%	82	+0.0	182/282/323	141	228	16	1	27%	11%	72	-0.4
✕John Mayberry Jr. 2008 · AA	24	37→47	53→55	51→50	42	204/263/375	171	253	22	10	30%	6%	78	-0.3	212/261/364	152	268	17	11	27%	5%	74	-0.6	239/297/403	165	282	19	7	22%	7%	93	+0.6
✕Damiano Palmegiani 2023 · A	23	37→39	54→50	50→40	43	203/278/377	174	253	23	5	30%	7%	84	+0.2	193/272/337	144	269	17	5	33%	8%	73	-0.6	176/262/306	130	252	15	3	34%	8%	60	-1.1
●Davis Schneider 2023 · AAA	24	40→43	49→55	53→50	46	203/284/353	150	293	17	13	35%	10%	80	-0.1	215/314/395	180	286	21	10	30%	12%	101	+1.4	209/318/396	187	271	23	9	30%	12%	102	+1.1
✕Jabari Henry 2016 · AA	25	37→41	51→55	46→45	47	195/277/358	163	261	19	7	32%	10%	80	-0.2	194/261/329	135	273	16	6	33%	7%	66	-1.1	171/237/295	123	231	17	2	34%	6%	47	-1.7
✕Ryan Rua 2014 · AA	24	37→47	55→50	52→50	42	206/270/389	182	253	23	10	29%	6%	84	+0.1	233/290/376	143	298	17	8	27%	6%	87	+0.4	242/299/373	132	310	15	9	26%	6%	86	+0.2
✕Casper Wells 2010 · AA	25	42→44	53→60	49→50	43	220/293/398	178	285	20	13	30%	7%	95	+0.9	224/292/410	186	287	21	9	29%	7%	97	+1.1	222/294/415	193	276	22	7	27%	8%	95	+0.6
✕Chris Williams 2021 · A	24	36→32	50→55	49→40	48	188/277/339	151	269	18	5	35%	10%	75	-0.5	188/268/335	147	296	18	4	39%	9%	71	-0.8	176/260/345	169	249	23	4	38%	9%	68	-0.7
✕Tom Murphy 2015 · AA	24	40→38	50→65	43→45	41	208/274/365	156	287	18	5	33%	7%	80	-0.2	208/255/373	165	298	19	5	36%	5%	74	-0.5	247/319/462	215	314	30	2	30%	9%	117	+1.1
●Ryan Schimpf 2013 · AA	25	39→41	51→60	48→45	44	205/278/370	165	273	18	7	31%	8%	82	-0.0	193/270/361	168	248	20	4	30%	8%	78	-0.3	202/284/418	216	238	27	2	28%	9%	93	+0.7
✕Jabari Blash 2014 · AA	25	41	50→60	46→50	44	205/288/359	154	303	18	11	36%	9%	84	+0.1	206/292/389	183	283	23	9	34%	9%	92	+0.7	198/312/392	194	297	25	6	38%	12%	98	+0.8
✕Devin Mann 2021 · A	24	44	49→50	44→45	46	222/291/369	146	287	17	7	28%	8%	86	+0.3	215/294/365	150	282	16	5	28%	8%	87	+0.4	210/294/364	154	277	16	4	29%	9%	85	+0.2
✕Derek Norris 2012 · AA	23	37→47	52→55	47→50	52	198/303/366	168	267	21	10	32%	12%	91	+0.7	228/310/388	160	285	18	10	25%	10%	98	+1.2	258/336/412	153	316	16	5	22%	10%	109	+1.5
✕Aaron Luna 2010 · AA	23	40→45	50	49→45	46	205/312/364	158	263	16	8	27%	8%	95	+0.9	225/323/366	141	281	15	8	24%	8%	99	+1.2	223/327/361	137	276	16	6	24%	9%	97	+0.7
✕Brian Pellegrini 2009 · A	24	36→34	55→60	56→45	39	198/270/387	189	267	24	11	35%	6%	84	+0.1	214/285/415	201	277	28	7	33%	8%	96	+1.0	206/281/415	209	254	32	5	33%	8%	94	+0.6
✕Alex Frazier 2006 · A	25	42→39	52→55	44→45	44	220/295/384	164	279	20	6	28%	8%	92	+0.7	209/262/332	123	281	14	5	30%	5%	67	-1.1	188/226/290	102	254	12	1	30%	3%	42	-1.7
✕Jesús Bastidas 2023 · AA	24	40→41	49→50	45→50	41	209/278/348	139	281	17	12	31%	6%	77	-0.3	204/273/341	137	269	16	12	30%	6%	74	-0.5	191/260/329	138	251	16	13	30%	5%	64	-1.0
✕Brandon Meredith 2014 · A	24	44→40	49→50	46→45	47	219/301/375	156	289	16	8	29%	9%	92	+0.7	212/285/350	138	279	16	7	28%	8%	80	-0.1	196/270/331	135	249	17	5	28%	8%	67	-0.4
✕Alex Isola 2022 · A	24	39→45	50	47→40	46	206/273/349	143	260	19	4	29%	8%	76	-0.4	218/284/350	132	275	16	4	26%	8%	79	-0.2	211/278/331	120	261	15	4	24%	8%	71	-0.5

Career Stats + Projections

Career Comps

Career Path Comps