Justin Riemer — OGILVIE

Justin Riemer2B Lansing Lugnuts

Age 24 R/R 5'10" / 170 lbs A+ HR -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION280 act + 9 ros · stats below = ROS only

showingROS

wRC+†88

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP301

ISO49

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED50

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	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Arb-1	$1M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-2	$1M	—	—	—
2035	Arb-3	$7M	—	—	—
Totals		$3M		$4M	+$2M

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)
2024	22	A+	Greenville Drive	—	126	100	24	4	0	0	19	24	7	8	0	240	397	280	677	40	316	19	15	330	110	+1	+2	—	—	+3	0.6
2024	22	ROK	FCL Red Sox	—	39	27	8	1	1	0	10	5	0	1	0	296	486	407	894	111	333	13	26	392	152	+2	+0	—	—	+1	0.4
2025	23	AA	Portland Sea Dogs	—	24	18	4	1	0	0	5	5	0	0	1	222	391	278	669	56	308	21	21	312	97	-0	-0	—	—	+1	0.0
2025	23	A+	Greenville Drive	—	279	207	48	6	0	1	64	55	6	9	2	232	426	275	701	43	307	20	23	344	119	+6	+1	—	—	+6	1.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	22	A+ MLE	Greenville Drive	—	126	105	21	3	0	0	14	34	7	8	0	200	333	229	562	29	295	27	11	266	66	-5	+2	—	—	+3	-0.1
2024	22	ROK MLE	FCL Red Sox	—	39	31	8	1	1	0	6	7	0	1	0	258	378	355	733	97	268	18	15	318	101	+0	+0	—	—	+1	0.1
2025	23	AA MLE	Portland Sea Dogs	—	24	20	4	1	0	0	3	6	0	0	1	200	304	250	554	50	286	25	12	259	61	-1	-0	—	—	+1	-0.1
2025	23	A+ MLE	Greenville Drive	—	279	231	43	4	0	1	40	79	6	9	2	186	321	216	538	30	268	28	14	257	60	-13	+1	—	—	+6	-0.6
2024	22	A+ MLE	2 teams	—	165	136	29	4	1	0	20	41	7	9	0	213	344	257	601	44	299	25	12	278	74	—	—	—	—	—	—
2024	22	A+ RAW	2 teams	—	165	127	32	5	1	0	29	29	7	9	0	252	417	307	724	55	320	18	18	345	74	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	303	251	47	5	0	1	43	85	6	9	3	187	320	219	539	32	275	28	14	257	60	—	—	—	—	—	—
2025	23	A+ RAW	2 teams	—	303	225	52	7	0	1	69	60	6	9	3	231	423	276	699	44	307	20	23	341	60	—	—	—	—	—	—
2024	22	A+ MLE	2 teams	—	165	137	29	4	1	0	20	41	7	9	0	212	344	255	599	44	289	25	12	278	74	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	303	251	47	5	0	1	43	85	6	9	3	187	320	219	539	32	269	28	14	257	60	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	22	A+ MLE	2 teams	—	165	137	29	4	1	0	20	41	7	9	0	212	344	255	599	44	289	25	12	278	74	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	303	251	47	5	0	1	43	85	6	9	3	187	320	219	539	32	269	28	14	257	60	—	—	—	—	—	—
YTD	24	A+ MLE	OAK	—	280	226	57	5	1	3	41	60	8	11	0	252	385	323	708	71	325	21	15	325	106	+2	+2	+0	+1	+6	1.1
▸ 2026 season
YTD	24	A+ RAW	OAK	—	161	119	28	4	1	3	37	28	2	5	0	235	424	361	785	126	275	17	23	363	106	—	—	—	—	—	—
YTD	24	AA RAW	OAK	—	119	90	30	2	0	1	21	18	6	6	0	333	487	389	876	56	408	15	18	405	106	—	—	—	—	—	—
ROS	24	A+ MLE	OAK	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		296	22	11	298	88	-0	+0	+0	+0	+0	0.0
TOT	24	A+ MLE	OAK	—	289	234	58	5	1	3	42	62	8	11	0	248	380	316	697	68	320	21	15	324	105	+2	+2	+0	+1	+6	1.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	OAK	30%	329	274	61	8	1	3	45	77	7	7	1	223	347	292	639	69	295	23	14	304	92	-3	+1	+0	+1	+7	0.6
2028	26	MLB MLE	OAK	44%	378	317	72	10	1	5	50	88	8	8	1	227	347	312	659	85	295	23	13	309	95	-2	+1	+0	+1	+8	0.9
2029	27	MLB MLE	OAK	49%	399	335	77	11	1	6	53	93	8	8	1	230	348	322	671	93	295	23	13	310	96	-2	+1	+0	+1	+9	0.9
2030	28	MLB MLE	OAK	52%	410	345	78	11	1	6	54	96	8	8	1	226	344	316	660	90	294	23	13	309	95	-2	+1	-1	+1	+9	0.9
2031	29	MLB MLE	OAK	51%	409	344	78	11	1	6	54	96	8	8	1	227	345	317	662	90	293	23	13	307	94	-3	+1	-1	+1	+9	0.7
2032	30	MLB MLE	OAK	51%	406	341	76	10	1	6	54	97	8	7	1	223	342	311	653	88	292	24	13	304	92	-4	+1	-2	+1	+9	0.5
2033	31	MLB MLE	OAK	51%	394	332	73	10	1	5	52	95	7	6	1	220	338	301	639	81	290	24	13	300	89	-5	+1	-3	+1	+9	0.3
2034	32	MLB MLE	OAK	51%	378	318	69	9	1	5	50	93	7	6	1	217	336	299	635	82	286	25	13	295	86	-6	+1	-4	+1	+8	0.0
2035	33	MLB MLE	OAK	51%	349	294	63	8	1	4	46	87	6	5	1	214	332	289	621	75	283	25	13	289	82	-8	+1	-4	+1	+8	-0.2
2027	25	MLB CTX	OAK	30%	100	84	19	3	0	1	14	23	2	2	0	226	350	298	648	71	300	23	14	291	92	-1	+0	+0	+0	+2	0.2
2028	26	MLB CTX	OAK	44%	167	140	32	5	0	2	22	39	3	4	0	229	345	307	653	79	300	23	13	297	95	-1	+1	+0	+1	+4	0.4
2029	27	MLB CTX	OAK	49%	196	164	39	6	1	3	26	45	4	4	0	238	356	341	697	104	300	23	13	298	96	-1	+1	+0	+1	+4	0.5
2030	28	MLB CTX	OAK	52%	211	177	41	6	1	3	28	49	4	4	0	232	349	328	677	96	299	23	13	298	95	-1	+1	-0	+1	+5	0.5
2031	29	MLB CTX	OAK	51%	211	177	41	6	1	3	28	50	4	4	0	232	349	328	677	96	298	24	13	296	94	-1	+1	-1	+1	+5	0.4
2032	30	MLB CTX	OAK	51%	209	175	41	6	1	3	28	50	4	4	0	234	353	331	684	97	297	24	13	293	92	-2	+1	-1	+1	+5	0.3
2033	31	MLB CTX	OAK	51%	203	170	38	5	0	3	27	49	4	3	0	224	343	306	649	82	294	24	13	289	89	-3	+1	-1	+1	+4	0.2
2034	32	MLB CTX	OAK	51%	195	163	35	5	0	2	26	48	4	3	0	215	337	282	619	67	291	25	13	284	86	-3	+1	-2	+1	+4	0.0
2035	33	MLB CTX	OAK	51%	180	151	32	4	0	2	24	45	3	3	0	212	331	278	610	66	287	25	13	278	82	-4	+1	-2	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1672	1401	318	46	4	22	223	398	32	31	0	227	346	313	659	86	299	24	13	292	88	-17	+6	-8	+6	+36	2.4
/ 162G	—	A+C		—	650	545	125	18	2	9	87	155	12	12	0	229	348	319	667	90	302	24	13	292	88	-7	+2	-3	+2	+14	0.9
Career	—	MLE		—	3929	3295	724	97	10	47	522	950	80	81	12	220	340	298	638	78	292	24	13	299	88	-36	+9	-15	+12	+75	4.7
/ 162G	—	MLE		—	650	545	120	16	2	8	86	157	13	13	2	220	340	301	641	81	292	24	13	299	88	-7	+2	-3	+2	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rubén Tejadalast yr '17 career totals — 8 seasons, 2,387 PA	3.6	2,387	10	16	251	325	318	+21	+22	6.5	6.7
/162	664	3	4	+5.7	+6.1	1.8	pk7: 7
#2Jack Hannahanlast yr '14 career totals — 7 seasons, 1,867 PA	2.8	1,867	29	6	232	315	348	+6	+29	6.2	6.2
/162	664	10	2	+2.0	+10.4	2.2	pk7: 6
#3Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#4Delino DeShieldslast yr '21 career totals — 7 seasons, 2,114 PA	3.2	2,114	19	111	246	327	342	+1	+6	5.3	5.3
/162	664	6	35	+0.4	+1.8	1.7	pk7: 5
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.5	1,672	22	30	224	339	308	+6	+4	3.7	3.5
/162	664	9	12	+2.4	+1.6	1.5	pk7: 3
#6Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3

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
Justin Riemer (OGILVIE)	24	40	20	50	60	218/346/274	56	296	2	8	24%	14%	88	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alex Meneses 2008 · AA	24	46	34→30	49→50	54	210/304/264	54	287	2	11	25%	11%	68	-1.0	208/283/273	65	288	4	11	26%	9%	61	-1.5	198/269/236	38	273	2	11	26%	8%	45	-1.2
✕Alan Ahmady 2012 · AA	24	47→43	36→45	43→40	54	214/314/286	72	296	3	4	26%	11%	77	-0.3	229/307/336	107	303	7	6	24%	9%	84	+0.2	246/318/378	132	316	8	4	23%	9%	95	+0.5
✕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
✕Kawika Emsley-Pai 2013 · A	24	43	36→30	46→40	55	198/298/270	72	275	3	7	26%	12%	67	-1.1	197/293/273	76	284	5	7	29%	11%	65	-1.2	163/278/221	58	239	5	4	30%	13%	48	-0.7
✕Anthony Prato 2022 · A	24	48→50	36→45	49→55	49	216/308/281	65	312	3	11	29%	10%	73	-0.6	218/307/327	109	307	8	15	29%	10%	83	+0.1	210/307/323	113	293	8	16	28%	10%	80	-0.1
✕Taylor Krick 2011 · A	23	43	39→30	48→40	50	207/292/288	80	272	6	7	25%	9%	68	-1.0	227/312/290	63	312	3	5	26%	8%	76	-0.4	234/324/284	50	326	2	2	25%	8%	77	-0.1
✕Gabe Holt 2022 · AA	24	52→54	35→30	52→50	55	242/323/301	59	292	3	12	17%	10%	82	+0.0	214/268/276	62	249	3	12	14%	6%	55	-1.9	187/225/223	35	209	0	14	10%	4%	23	-2.2
✕Jonathan Diaz 2009 · AA	24	45→47	36→30	42→50	59	205/319/277	73	257	3	6	19%	12%	77	-0.3	207/296/271	64	258	3	6	19%	10%	66	-1.1	210/294/266	56	261	2	7	18%	9%	61	-1.0
✕Kelby Tomlinson 2014 · AA	24	46→56	35→40	52→60	44	213/270/273	61	292	2	17	27%	7%	55	-1.9	256/307/323	67	324	3	26	20%	6%	80	-0.2	279/337/345	67	339	3	24	17%	7%	93	+0.6
✕Leo Rivas 2022 · AA	24	48→54	38→40	50→65	49	222/299/302	80	308	5	13	28%	9%	74	-0.6	223/308/309	86	302	7	30	26%	10%	79	-0.2	241/356/333	92	321	9	44	24%	14%	102	+1.0
✕Chad Zurcher 2013 · A	24	48	36→30	47→45	50	222/288/291	69	266	3	9	17%	7%	66	-1.1	228/309/290	62	295	2	7	21%	10%	75	-0.5	238/336/271	32	303	0	6	19%	12%	78	-0.1
✕Antonio Nunez 2017 · AA	24	48→51	34→30	49→50	51	219/298/265	47	301	1	15	26%	10%	65	-1.2	197/259/250	53	300	3	13	32%	7%	47	-2.6	176/235/218	42	274	2	12	34%	6%	28	-2.2
✕Will Piwnica-Worms 2014 · A	24	44	38→40	49→50	50	210/290/289	79	270	5	9	23%	9%	68	-1.0	210/277/303	93	289	8	8	28%	7%	65	-1.2	184/246/269	85	256	9	5	30%	6%	47	-1.0
✕Mike Brownstein 2011 · A	23	49	36→30	50→55	53	225/298/293	68	274	2	15	18%	9%	71	-0.8	223/286/296	73	298	4	12	24%	8%	67	-1.1	225/290/286	61	298	3	14	24%	8%	64	-0.7
✕Josh Johnson 2010 · AA	24	47→49	36→45	44→50	54	219/302/284	65	283	3	10	22%	10%	71	-0.8	238/308/337	99	293	7	13	20%	9%	84	+0.2	244/312/343	100	289	8	16	17%	9%	85	+0.1
✕Nick Haley 2008 · A	24	53→46	36→30	43→50	55	244/325/312	68	303	2	8	19%	10%	85	+0.2	222/295/288	66	301	3	12	25%	9%	69	-0.9	212/288/262	50	293	1	13	26%	8%	59	-1.1
✕Colt Sedbrook 2010 · AA	25	45→44	38→30	51→50	48	214/305/291	76	273	6	14	22%	8%	75	-0.5	206/301/279	73	263	5	12	22%	8%	71	-0.8	180/292/226	46	232	2	12	20%	9%	55	-1.1
✕Nolan Fontana 2015 · AA	24	49→43	40	46→50	57	220/330/321	101	320	5	11	29%	14%	90	+0.6	199/285/287	88	288	5	9	29%	10%	65	-1.2	184/288/307	123	253	11	12	29%	12%	71	-0.3
✕Julian Williams 2007 · A	24	48	36→30	49→55	48	220/306/293	73	294	3	15	24%	8%	75	-0.5	220/294/288	68	282	3	17	21%	8%	69	-0.9	218/293/263	45	274	0	23	19%	8%	60	-1.0
✕Austin Nola 2015 · AA	25	47→53	35→45	46→45	50	219/296/285	66	283	2	7	22%	8%	68	-1.0	222/278/296	74	277	4	5	20%	6%	63	-1.3	266/341/420	154	313	16	3	19%	9%	113	+1.1

Career Stats + Projections

Career Comps

Career Path Comps