Jake Gelof — OGILVIE

Jake Gelof3B Tulsa Drillers

Age 24 R/R 6'0" / 195 lbs AA HR +15%K -3% Svc 0.0 · Ctrl thru 2034 peak 0.9 · 2029

wRC+†69

AVG/OBP/SLG.194 / .270 / .347

PA320

HR9

SB7

K%32

BB%9

MLB%2%

Scouting · now → future

HIT

35→35

PWR

55→55

SPD

50→50

EYE

54↘50

trajectory · 10 yrs

0.9peak

2029

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	Arb-1	$0.8M	+0.9	$4M	+$3M
2030	Arb-2	$0.9M	+0.8	$4M	+$3M
2031	Arb-3	$0.9M	+0.7	$3M	+$2M
2032	Ext / FA-deal	$0.8M	+0.4	$2M	+$1M
2033	Ext / FA-deal	$0.7M	+0.2	$1.0M	+$0.3M
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$5M		$14M	+$9M

Career Projections (MLE)

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	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
2023	21	A	2 teams	154	139	22	6	1	5	14	63	0	4	1	.158	.235	.324	.559	.165	.236	41	9	.248	48	-9	+0	+0	+1	+4	-0.4
2024	22	A+	3 teams	534	464	77	18	2	9	54	156	3	21	4	.166	.257	.272	.529	.106	.218	29	10	.242	43	-34	+3	+0	+2	+15	-1.5
2025	23	A+	2 teams	385	345	60	22	0	13	34	133	1	11	9	.174	.250	.351	.601	.177	.230	35	9	.263	60	-18	-1	+0	+1	+11	-0.7
▸ 2026 Season (actual · ROS · total)
2026	24	AA	Tulsa Drillers	49	41	6	1	0	2	8	19	0	1	0	.146	.286	.317	.603	.171	.200	39	16	.260	57	-2	+0	+0	+0	+1	-0.1
ROS	24	MLB	LAD	271	241	46	12	1	8	27	90	1	6	2	.191	.275	.349	.624	.158	.262	33	10	.279	72	-9	+0	+0	+1	+8	0.0
TOT	24	MLB	LAD	320	282	52	13	1	10	35	109	1	7	2	.184	.277	.344	.621	.160	.256	34	11	.276	69	-11	+1	+0	+1	+9	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 11%	LAD	357	314	63	16	1	11	39	100	1	7	3	.201	.291	.363	.654	.162	.253	28	11	.295	84	-7	+0	+0	+1	+10	0.5
2028	26	MLB 26%	LAD	398	350	72	18	1	13	43	110	2	8	3	.206	.296	.374	.670	.169	.257	28	11	.301	88	-5	+0	+0	+1	+11	0.8
2029	27	MLB 44%	LAD	414	364	74	18	1	13	45	114	2	8	3	.203	.294	.365	.660	.162	.259	28	11	.302	89	-5	+0	+0	+1	+12	0.9
2030	28	MLB 53%	LAD	421	370	77	19	1	14	46	116	2	8	2	.208	.299	.378	.677	.170	.260	28	11	.301	89	-5	+1	-1	+2	+12	0.8
2031	29	MLB 64%	LAD	418	367	75	18	1	13	46	117	2	7	2	.204	.296	.365	.662	.161	.259	28	11	.299	87	-6	+1	-1	+1	+12	0.7
2032	30	MLB 73%	LAD	413	363	74	18	1	13	45	117	2	6	2	.204	.295	.366	.662	.163	.257	28	11	.296	85	-7	+0	-2	+1	+12	0.4
2033	31	MLB 81%	LAD	400	351	70	17	1	12	44	115	2	5	1	.199	.292	.356	.648	.157	.255	29	11	.292	82	-8	+1	-3	+1	+11	0.2
2034	32	MLB 88%	LAD	383	336	66	16	1	11	42	112	2	4	1	.196	.289	.348	.638	.152	.253	29	11	.288	78	-9	+0	-4	+1	+11	-0.0
2035	33	MLB	LAD	354	312	60	15	1	10	38	106	1	4	1	.192	.282	.343	.625	.151	.251	30	11	.282	74	-10	+0	-4	+1	+10	-0.3
2036	34	MLB	LAD	311	274	51	12	1	8	33	95	1	3	0	.186	.276	.325	.601	.139	.249	31	11	.275	69	-11	+1	-5	+1	+9	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			5213	4590	887	225	14	153	550	1544	22	102	34	.193	.283	.348	.631	.155	.250	30	11	.284	76	-144	+7	-20	+19	+148	1.0
/ 162G	—			650	572	111	28	2	19	69	193	3	13	4	.194	.284	.350	.634	.156	.252	30	11	.284	76	-18	+1	-2	+2	+18	0.1

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	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
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	111	+2	+0	—	—	+4	0.6
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	208	+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	66	-13	+2	—	—	+10	-0.2
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	180	+11	+1	—	—	+3	1.5
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	88	-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	118	+7	-1	—	—	+10	1.7
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	257	+4	-1	—	—	+1	0.4

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	.194/.270/.347	.154	.266	9	7	32%	9%	71	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jake Rogers 2019 · AA	24	38→40	47→55	48→45	41	.196/.261/.330	.133	.269	15	9	32%	7%	62	-0.9	.203/.278/.366	.163	.280	20	6	33%	8%	79	+0.3	.206/.283/.412	.206	.265	29	1	33%	8%	91	+0.6
✕Andrew Navigato 2022 · AA	24	41→40	44→60	46→50	44	.202/.279/.318	.116	.282	12	12	31%	8%	67	-0.5	.221/.280/.382	.161	.276	19	14	27%	6%	84	+0.6	.220/.279/.406	.186	.266	23	17	26%	6%	87	+0.6
✕Zack Short 2019 · AA	24	39	48→50	47→45	50	.201/.292/.345	.144	.268	15	9	30%	10%	79	+0.3	.195/.287/.336	.141	.277	15	7	33%	10%	76	+0.0	.179/.279/.311	.132	.240	16	9	31%	11%	63	-0.6
✕Brandon Meredith 2014 · A	24	43→38	49→55	46→45	46	.216/.295/.371	.154	.285	16	8	29%	8%	87	+0.8	.210/.285/.356	.146	.277	17	7	29%	8%	79	+0.3	.194/.269/.338	.144	.247	19	5	29%	8%	64	-0.3
✕Kyle Datres 2021 · A	25	41→43	48→50	51→55	42	.208/.274/.354	.146	.273	15	15	29%	6%	74	-0.1	.211/.290/.356	.145	.288	17	21	31%	8%	82	+0.5	.206/.292/.349	.143	.282	18	27	32%	9%	79	+0.1
✕Jabari Henry 2016 · AA	25	38→41	51→55	45	47	.200/.282/.366	.166	.265	19	7	32%	10%	80	+0.4	.191/.260/.336	.145	.273	18	6	35%	8%	63	-0.8	.166/.233/.298	.132	.227	20	2	36%	6%	40	-1.6
✕Travis Demeritte 2019 · AA	24	36→43	50→60	47→50	39	.190/.251/.347	.157	.282	18	8	38%	7%	63	-0.9	.214/.279/.390	.176	.309	21	8	36%	8%	85	+0.7	.208/.274/.387	.179	.299	22	9	37%	8%	79	+0.2
✕Jesús Bastidas 2023 · AA	24	41	50	46→50	40	.213/.282/.361	.148	.291	19	12	33%	7%	79	+0.3	.207/.276/.353	.146	.273	18	12	30%	6%	75	-0.0	.199/.271/.343	.144	.260	17	13	29%	6%	67	-0.5
✕Jeremy Sy 2015 · A	25	37	49→50	49→50	44	.198/.265/.345	.147	.255	17	12	30%	8%	68	-0.5	.203/.267/.321	.118	.286	12	13	31%	7%	62	-0.9	.192/.257/.283	.091	.281	8	15	33%	7%	43	-1.0
✕Jared Keel 2009 · A	24	39→36	52→55	48→45	47	.210/.289/.377	.167	.251	20	10	25%	8%	87	+0.8	.204/.289/.352	.148	.258	17	7	27%	9%	80	+0.4	.182/.282/.323	.141	.228	16	1	27%	11%	69	-0.3
✕Chris Williams 2021 · A	24	35→31	51→55	49→40	49	.190/.278/.345	.156	.259	19	4	33%	10%	74	-0.1	.188/.269/.345	.157	.295	20	4	40%	10%	70	-0.3	.180/.262/.367	.188	.250	27	4	39%	9%	71	-0.2
✕Aaron Palensky 2023 · AA	24	42→32	48→55	48→55	42	.203/.283/.350	.147	.312	14	10	37%	8%	77	+0.1	.201/.287/.362	.161	.274	18	19	32%	9%	82	+0.5	.184/.279/.346	.163	.237	19	25	30%	9%	73	-0.1
●Jeremiah Jackson 2023 · AA	23	38→48	50→55	48→55	41	.200/.261/.356	.156	.274	18	12	33%	7%	69	-0.4	.216/.264/.378	.162	.287	21	15	32%	6%	76	+0.0	.228/.269/.395	.167	.290	22	15	29%	5%	79	+0.2
✕Cory Vaughn 2013 · A	24	39→40	47→45	49→50	44	.200/.280/.332	.132	.273	14	11	31%	8%	71	-0.3	.197/.270/.316	.119	.279	13	14	32%	7%	63	-0.9	.182/.253/.288	.106	.262	11	14	33%	7%	46	-1.2
✕Travis Taijeron 2013 · A	24	41	51→55	50→40	40	.209/.281/.369	.160	.302	19	6	36%	7%	81	+0.4	.209/.285/.382	.173	.306	20	3	36%	8%	86	+0.8	.199/.284/.375	.176	.294	21	1	37%	8%	81	+0.3
✕Jeter Downs 2022 · AAA	24	36→41	49→50	52→55	41	.194/.257/.337	.143	.263	18	19	33%	7%	63	-0.9	.184/.262/.320	.136	.261	17	22	35%	8%	61	-1.0	.178/.268/.330	.152	.242	18	26	33%	8%	64	-0.3
✕Cody Puckett 2011 · A	24	40	47→55	51→50	38	.206/.259/.346	.140	.285	15	12	33%	6%	65	-0.7	.205/.253/.354	.149	.264	17	11	29%	5%	65	-0.7	.197/.243/.346	.150	.234	20	10	26%	5%	57	-0.9
✕Drew Robinson 2016 · AAA	24	36→41	48→55	48→50	44	.188/.265/.331	.144	.271	15	11	35%	9%	65	-0.7	.204/.278/.369	.165	.296	18	13	35%	9%	79	+0.3	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
●Ryan Schimpf 2012 · A	24	38→39	46→60	51→45	40	.193/.263/.329	.136	.276	13	8	33%	7%	63	-0.9	.199/.276/.370	.171	.267	20	5	32%	8%	79	+0.3	.201/.284/.419	.218	.235	28	2	28%	9%	91	+0.9
✕Tim Tawa 2023 · AA	24	42→43	46→50	49→50	46	.211/.275/.332	.121	.266	14	12	26%	8%	68	-0.5	.209/.273/.344	.135	.272	16	11	28%	8%	71	-0.3	.204/.271/.351	.147	.261	18	12	28%	8%	69	-0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)