Jacob Reimer — OGILVIE

Jacob Reimer3B Binghamton Rumble Ponies

Age 22 R/R 6'0" / 205 lbs AA H -5% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION367 act + 10 ros · stats below = ROS only

showingROS

wRC+†78

AVG/OBP/SLG—

PA1

HR0

K%30

BB%10

BABIP271

ISO111

MLB%6%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$13M ctrl surplus

Tools · ContractCON 51 / POW 55

Toolsscout grade

CONTACT51

scouting grade only

POWER55

scouting grade only

EYE56

scouting grade only

SPEED38

scouting grade only

DEFENSE45

scouting grade only

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2028	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2029	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2030	Arb-1	$3M	+0.9	$3M	+$0.4M
2031	Arb-2	$6M	+0.9	$2M	+$0.0M (cut)
2032	Arb-3	$8M	+0.8	$2M	+$0.0M (cut)
Totals		$6M		$12M	+$3M

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)
2022	18	ROK	FCL Mets	—	29	23	6	0	1	1	6	3	0	0	0	261	414	478	892	217	263	10	21	397	155	+2	+0	—	—	+1	0.3
2023	19	A+	Brooklyn Cyclones	—	99	79	16	3	0	1	17	22	2	0	1	203	357	278	636	76	263	22	17	304	92	-1	-0	—	—	+2	0.1
2023	19	A	St. Lucie Mets	—	311	250	70	10	0	6	44	61	14	3	1	280	416	392	808	112	344	20	14	370	137	+14	+0	—	—	+7	2.1
2024	20	A+	Brooklyn Cyclones	—	55	46	9	3	0	0	8	7	1	0	1	196	327	261	588	65	231	13	15	284	78	-1	-0	—	—	+1	-0.1
2024	20	A	St. Lucie Mets	—	29	24	8	2	0	0	4	5	1	0	0	333	448	417	865	83	421	17	14	397	155	+2	+0	—	—	+1	0.3
2024	20	INTL	Scottsdale Scorpions	—	70	53	11	0	1	2	15	13	0	1	2	208	382	358	741	151	225	19	21	335	113	+1	-1	—	—	+2	0.2
2025	21	AA	Binghamton Rumble Ponies	—	254	215	60	14	1	9	26	60	9	4	1	279	380	479	859	200	340	24	10	377	141	+12	+0	—	—	+6	1.9
2025	21	A+	Brooklyn Cyclones	—	268	229	65	18	4	8	32	52	6	11	2	284	386	502	888	218	335	19	12	390	150	+16	+1	—	—	+6	2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	FCL Mets	—	29	25	5	0	1	1	4	4	0	0	0	200	310	400	710	200	204	14	14	282	77	-1	+0	—	—	+1	-0.0
2023	19	A+ MLE	Brooklyn Cyclones	—	99	84	15	2	0	1	12	29	2	0	1	179	296	238	534	60	244	29	12	242	50	-6	-0	—	—	+2	-0.4
2023	19	A MLE	St. Lucie Mets	—	311	260	56	9	0	4	34	91	14	3	1	215	338	296	634	81	302	29	11	290	82	-7	+0	—	—	+7	0.0
2024	20	A+ MLE	Brooklyn Cyclones	—	55	49	8	3	0	0	5	10	1	0	1	163	255	224	479	61	203	18	9	222	36	-4	-0	—	—	+1	-0.3
2024	20	A MLE	St. Lucie Mets	—	29	25	7	2	0	0	3	7	1	0	0	280	379	360	739	80	409	24	10	340	116	+1	+0	—	—	+1	0.1
2025	21	AA MLE	Binghamton Rumble Ponies	—	254	223	55	13	1	7	18	72	9	4	1	247	328	408	736	161	313	28	7	320	103	+1	+0	—	—	+6	0.7
2025	21	A+ MLE	Brooklyn Cyclones	—	268	241	54	14	3	6	20	69	6	11	2	224	300	382	681	158	287	26	7	299	88	-4	+1	—	—	+6	0.4
2022	18	ROK MLE	FCL Mets	—	29	25	5	0	1	1	4	4	0	0	0	200	310	400	710	200	200	14	14	282	77	—	—	—	—	—	—
2022	18	ROK RAW	FCL Mets	—	29	23	6	0	1	1	6	3	0	0	0	261	414	478	892	217	263	10	21	397	77	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	410	345	71	11	0	5	45	120	16	3	2	206	325	281	606	75	295	29	11	278	75	—	—	—	—	—	—
2023	19	A RAW	2 teams	—	410	329	86	13	0	7	61	83	16	3	2	261	401	365	766	103	325	20	15	354	75	—	—	—	—	—	—
2024	20	INTL MLE	3 teams	—	154	135	28	8	0	0	15	31	2	1	3	207	296	267	563	59	264	20	10	263	64	—	—	—	—	—	—
2024	20	INTL RAW	3 teams	—	154	123	28	5	1	2	27	25	2	1	3	228	375	333	708	106	265	16	18	329	64	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	522	464	109	27	4	13	38	141	15	15	3	235	313	394	708	159	305	27	7	309	95	—	—	—	—	—	—
2025	21	A+ RAW	2 teams	—	522	444	125	32	5	17	58	112	15	15	3	282	383	491	874	209	338	21	11	384	95	—	—	—	—	—	—
2022	18	ROK MLE	FCL Mets	—	29	25	5	0	1	1	4	4	0	0	0	200	310	400	710	200	204	14	14	282	77	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	410	346	71	11	0	5	45	120	16	3	2	205	325	280	605	75	288	29	11	278	75	—	—	—	—	—	—
2024	20	INTL MLE	3 teams	—	154	136	28	8	0	0	15	31	2	1	3	206	296	265	561	59	274	20	10	263	64	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	522	464	109	27	4	13	38	141	15	15	3	235	313	394	708	159	300	27	7	309	95	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	2 teams	—	410	346	71	11	0	5	45	120	16	3	2	205	325	280	605	75	288	29	11	278	75	—	—	—	—	—	—
2024	20	INTL MLE	3 teams	—	154	136	28	8	0	0	15	31	2	1	3	206	296	265	561	59	274	20	10	263	64	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	522	464	109	27	4	13	38	141	15	15	3	235	313	394	708	159	300	27	7	309	95	—	—	—	—	—	—
YTD	22	AA MLE	NYM	—	367	327	66	20	0	7	32	111	4	14	5	202	281	327	608	125	277	30	9	267	67	-14	+1	+0	+1	+8	-0.5
▸ 2026 season
YTD	22	A+ RAW	NYM	—	18	15	5	2	0	1	2	4	1	0	0	333	444	667	1.111	333	400	22	11	477	67	—	—	—	—	—	—
YTD	22	AA RAW	NYM	—	349	297	69	21	0	8	45	87	3	14	5	232	339	384	723	152	296	25	13	325	67	—	—	—	—	—	—
ROS	22	AA MLE	NYM	6%	10	9	2	1	0	0	1	3	0	0	0	222	300	333	633	111	278	30	10	283	78	-0	+0	-0	+0	+0	-0.0
▸ 2026 season — projected rest
ROS	22	MLB CTX	NYM	6%	1	1	0	0	0	0	0	0	0	0	0						271	0	0	267	78	-0	+0	-0	+0	+0	-0.0
FULL	22	MLB A+C	NYM	—	1	1	0	0	0	0	0	0	0	0	0							0	0	267	67	-0	+0	-0	+0	+0	-0.0
TOT	22	AA MLE	NYM	—	377	336	68	21	0	7	33	114	4	14	5	202	282	327	609	125	279	30	9	267	67	-15	+1	-0	+1	+8	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	NYM	46%	509	454	99	25	2	13	43	140	7	12	4	218	296	368	663	150	279	28	8	296	87	-8	+1	-2	+2	+11	0.4
2028	24	MLB MLE	NYM	59%	550	489	110	27	2	16	48	147	8	13	4	225	305	387	691	162	281	27	9	306	93	-4	+1	-2	+2	+12	0.9
2029	25	MLB MLE	NYM	65%	566	504	114	27	2	18	49	149	8	13	4	226	305	395	700	169	282	26	9	312	98	-2	+1	-2	+2	+12	1.2
2030	26	MLB MLE	NYM	68%	576	512	118	28	2	19	51	151	8	14	5	230	310	404	714	174	283	26	9	316	100	-0	+1	-2	+2	+12	1.4
2031	27	MLB MLE	NYM	68%	578	513	118	28	2	19	52	152	8	14	5	230	311	404	714	173	282	26	9	316	100	-0	+1	-2	+2	+13	1.4
2032	28	MLB MLE	NYM	68%	575	510	116	27	2	19	52	152	8	13	4	227	309	400	709	173	282	26	9	315	99	-1	+1	-3	+2	+12	1.3
2033	29	MLB MLE	NYM	66%	566	502	114	27	2	18	51	151	8	12	4	227	308	396	705	169	281	27	9	313	98	-2	+1	-3	+2	+12	1.0
2034	30	MLB MLE	NYM	66%	556	493	110	26	1	18	51	150	7	11	3	223	305	389	694	166	279	27	9	310	96	-3	+1	-4	+2	+12	0.8
2035	31	MLB MLE	NYM	65%	542	481	106	25	1	17	49	147	7	9	3	220	302	383	684	162	277	27	9	305	93	-5	+1	-5	+2	+12	0.5
2036	32	MLB MLE	NYM	65%	524	465	100	23	1	16	47	145	7	7	2	215	297	372	669	157	273	28	9	300	89	-7	+1	-5	+2	+11	0.2
2037	33	MLB MLE	NYM	65%	494	441	92	21	1	14	44	139	6	5	2	209	289	356	645	147	268	28	9	292	84	-9	+0	-6	+2	+11	-0.3
2027	23	MLB CTX	NYM	46%	232	207	44	11	1	6	20	64	3	6	2	213	291	362	654	150	271	28	9	281	87	-4	+0	-1	+1	+5	0.2
2028	24	MLB CTX	NYM	59%	325	290	63	15	1	10	28	87	4	8	3	217	295	379	674	162	274	27	9	291	93	-3	+0	-1	+1	+7	0.5
2029	25	MLB CTX	NYM	65%	370	330	73	17	1	12	32	97	5	9	3	221	300	388	688	167	275	26	9	297	98	-1	+1	-1	+1	+8	0.8
2030	26	MLB CTX	NYM	68%	393	350	78	18	1	13	35	103	5	9	3	223	303	391	694	169	275	26	9	300	100	-0	+1	-1	+1	+9	0.9
2031	27	MLB CTX	NYM	68%	394	351	78	18	1	13	35	104	5	9	3	222	302	390	692	168	275	26	9	300	100	-0	+1	-1	+1	+9	0.9
2032	28	MLB CTX	NYM	68%	391	348	77	18	1	13	35	103	5	9	3	221	302	391	692	170	274	26	9	300	99	-0	+1	-2	+1	+8	0.8
2033	29	MLB CTX	NYM	66%	376	334	73	17	1	12	34	100	5	8	3	219	300	383	684	165	273	27	9	298	98	-1	+0	-2	+1	+8	0.7
2034	30	MLB CTX	NYM	66%	365	324	71	16	1	12	33	98	5	7	2	219	301	386	687	167	272	27	9	295	96	-2	+1	-3	+1	+8	0.5
2035	31	MLB CTX	NYM	65%	352	312	68	16	1	11	32	96	5	6	2	218	301	381	682	163	269	27	9	291	93	-3	+0	-3	+1	+8	0.3
2036	32	MLB CTX	NYM	65%	339	301	64	15	1	10	31	94	4	5	2	213	295	369	663	156	265	28	9	285	89	-4	+0	-3	+1	+7	0.1
2037	33	MLB CTX	NYM	65%	319	283	58	13	1	9	29	90	4	3	1	205	288	353	641	148	260	28	9	278	84	-6	+0	-4	+1	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3857	3431	747	174	11	121	344	1036	50	79	27	218	298	381	679	163	273	27	9	293	93	-25	+5	-22	+14	+84	5.7
/ 162G	—	A+C		—	650	578	125	29	2	20	58	175	8	13	5	216	297	377	674	161	271	27	9	293	93	-4	+1	-4	+2	+14	1.0
Career	—	MLE		—	7161	6342	1412	331	23	206	640	1922	115	142	48	223	305	380	685	157	283	27	9	305	93	-41	+9	-35	+22	+131	8.8
/ 162G	—	MLE		—	650	576	128	30	2	19	58	174	10	13	4	222	304	380	685	158	282	27	9	305	93	-4	+1	-4	+2	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Younglast yr '18 career totals — 13 seasons, 5,316 PA	8.0	5,316	191	142	235	314	428	-0	+3	21.3	20.7
/162	664	24	18	-0.0	+0.4	2.7	pk7: 20
#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
#4Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.8	3,875	122	79	224	301	389	+14	-13	9.8	8.8
/162	664	21	13	+2.4	-2.2	1.7	pk7: 8
#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

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
Jacob Reimer (OGILVIE)	22	45→51	49→55	35→38	56	207/285/336	129	278	7	9	29%	8%	78	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yusniel Díaz 2019 · AA	22	48→50	44→45	42→50	47	236/296/352	116	299	11	10	24%	8%	83	+0.1	210/269/331	121	284	12	6	29%	7%	69	-0.9	205/272/316	111	274	13	9	29%	8%	65	-0.7
✕Matt Vierling 2019 · A	22	47→55	46→50	43→50	38	235/279/367	132	301	13	9	26%	4%	81	-0.1	208/262/305	97	279	9	14	27%	6%	61	-1.5	254/314/393	138	307	13	10	21%	7%	97	+1.0
●Josh Fields 2006 · AA	23	43→53	45→55	42→50	41	216/280/339	123	296	13	7	31%	7%	76	-0.4	232/296/390	158	320	18	14	31%	8%	93	+0.8	230/297/396	166	316	20	15	32%	8%	93	+0.7
●Christian Vázquez 2013 · AA	22	43→53	44→50	43→45	43	215/271/331	116	277	12	3	26%	6%	70	-0.9	242/299/334	92	298	7	5	20%	7%	80	-0.1	262/314/414	151	300	18	8	19%	7%	102	+1.0
✕Brendan Rodgers 2019 · AAA	22	46→54	47→50	47→45	39	233/276/368	135	287	14	8	24%	4%	80	-0.1	241/287/377	136	299	15	6	24%	5%	86	+0.3	256/311/394	138	303	15	0	20%	6%	98	+0.8
✕Christian Villanueva 2014 · AA	23	44→46	47→55	43→50	39	221/270/360	139	281	14	9	27%	4%	76	-0.4	207/253/339	132	254	14	4	24%	5%	65	-1.2	223/280/397	174	256	23	3	23%	6%	88	+0.3
✕Alberto Carreon 2010 · AAA	22	45→55	45	43→50	47	223/293/345	122	251	13	10	17%	6%	82	-0.0	236/287/316	80	290	5	9	19%	5%	72	-0.7	266/322/370	104	333	7	11	21%	5%	94	+0.6
✕Brian Goodwin 2013 · AA	22	47→52	46→60	48→50	49	230/304/365	135	294	13	13	26%	9%	90	+0.6	213/284/325	112	292	9	13	28%	8%	73	-0.6	243/310/437	193	313	22	11	28%	8%	105	+1.0
●Jake Meyers 2019 · A	23	47→57	42→55	43→50	45	228/290/341	112	294	8	11	24%	7%	79	-0.2	221/280/347	126	294	12	11	28%	6%	77	-0.3	250/313/409	159	320	19	11	27%	7%	101	+0.9
✕Daniel Robertson 2016 · AA	22	51→54	43→45	40	47	244/311/359	114	301	9	4	21%	7%	91	+0.7	236/316/340	104	306	8	4	24%	9%	89	+0.5	232/336/343	111	304	11	4	25%	11%	96	+0.6
✕Carter Kieboom 2019 · AA	21	47→53	47→50	47→45	44	235/291/371	136	301	15	7	26%	7%	86	+0.3	227/310/349	122	298	13	5	27%	9%	89	+0.5	216/314/329	113	281	13	3	26%	10%	83	+0.1
●Sean Rodríguez 2008 · AA	23	45→49	49→60	47→50	44	227/296/379	152	293	17	12	28%	7%	91	+0.7	233/304/413	180	294	21	11	27%	7%	101	+1.4	234/307/425	191	291	23	12	27%	7%	102	+1.1
●Justyn-Henry Malloy 2022 · A	22	45→55	44→50	47→45	48	222/295/339	117	300	12	10	29%	9%	81	-0.1	232/323/370	138	327	16	5	31%	11%	99	+1.2	232/338/377	145	320	16	5	30%	12%	104	+1.4
●Zach Neto 2023 · AA	22	49→48	46→60	49→55	42	243/302/374	131	307	13	12	25%	5%	92	+0.7	246/317/424	178	299	21	19	25%	6%	109	+2.0	246/317/445	199	306	24	25	27%	7%	110	+2.1
✕Travis Denker 2008 · A	22	47→52	47→50	44→45	52	234/305/367	134	272	14	5	20%	9%	91	+0.7	224/289/340	116	280	10	5	22%	8%	78	-0.3	229/306/370	141	260	15	0	18%	8%	92	+0.4
●Ian Stewart 2007 · AA	22	47→52	47→60	40→45	44	231/291/384	154	299	12	4	26%	7%	90	+0.6	240/308/414	174	310	19	8	27%	8%	103	+1.5	239/315/432	193	304	23	9	28%	9%	107	+1.6
✕Connor Norby 2022 · A	22	48→49	42→55	48→50	45	226/302/334	109	325	10	11	31%	9%	82	+0.0	234/295/389	155	306	18	11	28%	7%	92	+0.7	239/312/395	156	325	18	14	30%	8%	98	+1.0
✕Brooks Lee 2023 · A	22	49→50	45→50	41→45	50	241/307/365	124	288	13	6	21%	8%	91	+0.6	240/292/372	132	280	13	6	19%	7%	86	+0.3	241/290/392	151	261	20	6	17%	6%	89	+0.4
✕Eddys Leonard 2023 · A	22	44→46	48→50	44→50	42	221/289/365	144	293	15	5	29%	6%	85	+0.2	216/274/354	138	278	15	8	27%	5%	76	-0.4	209/263/347	138	261	16	9	26%	5%	69	-0.7
●Brandon Drury 2015 · AA	22	47→54	48→60	41→40	42	239/281/385	146	284	15	3	22%	5%	86	+0.3	257/299/392	135	305	13	3	20%	5%	94	+0.9	254/305/466	211	299	27	1	24%	6%	113	+1.8

Career Stats + Projections

Career Comps

Career Path Comps