Mike Boeve — OGILVIE

Mike Boeve3B Biloxi Shuckers

Age 24 L/R 6'1" / 210 lbs AA HR +10%K +6% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION506 act + 9 ros · stats below = ROS only

showingROS

wRC+†83

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

PA9

HR0

K%22

BB%11

BABIP307

ISO88

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · ContractCON 40 / POW 35

Toolsscout grade

CONTACT40

scouting grade only

POWER35

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	+0.5	$2M	+$1.0M
2030	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2032	Arb-1	$1M	+0.2	$0.5M	+$0.0M (cut)
2033	Arb-2	$1M	—	—	—
2034	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)
2023	21	A+	Wisconsin Timber Rattlers	—	84	72	18	3	0	1	10	19	0	1	0	250	341	333	675	83	315	23	12	305	92	-1	+0	—	—	+2	0.1
2023	21	ROK	ACL Brewers	—	36	30	15	3	0	4	4	6	1	0	0	500	571	1.000	1.571	500	524	17	11	637	317	+9	+0	—	—	+1	1.0
2024	22	AA	Biloxi Shuckers	—	289	255	78	12	3	6	27	49	3	1	0	306	379	447	826	141	353	17	9	365	133	+11	+0	—	—	+6	1.8
2024	22	A+	Wisconsin Timber Rattlers	—	53	38	21	3	0	0	13	5	0	1	1	553	667	632	1.298	79	600	9	25	551	259	+10	-0	—	—	+1	1.1
2025	23	AA	Biloxi Shuckers	—	301	262	61	8	2	5	34	68	4	8	0	233	330	336	666	103	295	23	11	306	93	-2	+2	—	—	+7	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	21	A+ MLE	Wisconsin Timber Rattlers	—	84	75	17	3	0	1	7	27	0	1	0	227	293	307	599	80	293	32	8	250	55	-4	+0	—	—	+2	-0.2
2023	21	ROK MLE	ACL Brewers	—	36	32	12	2	0	3	2	9	1	0	0	375	429	719	1.147	344	413	25	6	508	230	+6	+0	—	—	+1	0.6
2024	22	AA MLE	Biloxi Shuckers	—	289	263	75	11	3	4	19	60	3	1	0	285	340	395	736	110	343	21	7	321	103	+1	+0	—	—	+6	0.8
2024	22	A+ MLE	Wisconsin Timber Rattlers	—	53	42	21	3	0	0	9	7	0	1	1	500	588	571	1.160	71	533	13	17	504	227	+8	-0	—	—	+1	0.9
2025	23	AA MLE	Biloxi Shuckers	—	301	273	55	6	2	3	23	89	4	8	0	201	273	271	544	70	280	30	8	245	52	-17	+2	—	—	+7	-0.9
2023	21	A+ MLE	2 teams	—	120	107	28	5	0	4	9	36	1	1	0	262	325	421	745	159	343	30	8	327	108	—	—	—	—	—	—
2023	21	A+ RAW	2 teams	—	120	102	33	6	0	5	14	25	1	1	0	324	410	529	940	206	373	21	12	404	108	—	—	—	—	—	—
2024	22	AA MLE	2 teams	—	342	305	96	14	3	4	28	67	3	2	1	315	378	420	798	105	383	20	8	349	123	—	—	—	—	—	—
2024	22	AA RAW	2 teams	—	342	293	99	15	3	6	40	54	3	2	1	338	423	471	894	133	389	16	12	393	123	—	—	—	—	—	—
2025	23	AA MLE	Biloxi Shuckers	—	301	273	55	6	2	3	23	89	4	8	0	201	273	271	544	70	286	30	8	245	52	—	—	—	—	—	—
2025	23	AA RAW	Biloxi Shuckers	—	301	262	61	8	2	5	34	68	4	8	0	233	330	336	666	103	295	23	11	306	52	—	—	—	—	—	—
2023	21	A+ MLE	2 teams	—	120	109	28	5	0	4	9	36	1	1	0	257	325	413	738	156	329	30	8	327	108	—	—	—	—	—	—
2024	22	AA MLE	2 teams	—	342	308	96	14	3	4	28	67	3	2	1	312	378	416	794	104	372	20	8	349	123	—	—	—	—	—	—
2025	23	AA MLE	Biloxi Shuckers	—	301	271	55	6	2	3	23	89	4	8	0	203	273	273	546	70	280	30	8	245	52	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A+ MLE	2 teams	—	120	109	28	5	0	4	9	36	1	1	0	257	325	413	738	156	329	30	8	327	108	—	—	—	—	—	—
2024	22	AA MLE	2 teams	—	342	308	96	14	3	4	28	67	3	2	1	312	378	416	794	104	372	20	8	349	123	—	—	—	—	—	—
2025	23	AA MLE	Biloxi Shuckers	—	301	271	55	6	2	3	23	89	4	8	0	203	273	273	546	70	280	30	8	245	52	—	—	—	—	—	—
YTD	24	AA MLE	MIL	—	506	456	114	19	1	7	45	118	2	13	1	250	320	342	662	92	320	23	9	294	85	-9	+2	+0	+2	+11	0.6
▸ 2026 season
YTD	24	AA RAW	MIL	—	506	436	120	21	1	9	65	97	2	13	1	275	372	390	762	115	333	19	13	345	85	—	—	—	—	—	—
ROS	24	AA MLE	MIL	2%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		309	22	11	291	83	-0	+0	+0	+0	+0	0.0
TOT	24	AA MLE	MIL	—	515	464	115	19	1	7	46	120	2	13	1	248	318	338	657	91	318	23	9	294	85	-9	+2	+0	+2	+11	0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	MIL	31%	355	319	78	13	1	6	31	83	2	6	1	245	315	348	663	103	307	23	9	298	88	-5	+1	+0	+1	+8	0.5
2028	26	MLB MLE	MIL	45%	566	508	123	20	2	10	50	131	3	10	1	242	314	348	662	106	306	23	9	301	90	-7	+2	+0	+2	+12	0.9
2029	27	MLB MLE	MIL	49%	571	511	125	21	2	11	51	133	4	11	1	245	318	358	676	114	305	23	9	303	91	-6	+2	+0	+2	+12	1.0
2030	28	MLB MLE	MIL	52%	570	510	124	21	2	11	51	133	4	10	1	243	317	357	674	114	304	23	9	302	91	-6	+2	-1	+2	+12	0.9
2031	29	MLB MLE	MIL	52%	413	370	89	15	1	8	37	97	3	7	1	241	315	351	666	111	303	23	9	300	89	-5	+1	-1	+1	+9	0.5
2032	30	MLB MLE	MIL	56%	408	366	86	14	1	7	37	97	2	7	1	235	309	336	645	101	301	24	9	297	87	-6	+1	-2	+1	+9	0.3
2033	31	MLB MLE	MIL	59%	395	354	84	14	1	7	36	95	2	6	1	237	311	342	653	105	299	24	9	293	84	-7	+1	-3	+1	+9	0.1
2034	32	MLB MLE	MIL	61%	378	339	77	12	1	6	34	93	2	5	0	227	301	322	623	94	296	25	9	287	80	-9	+1	-4	+1	+8	-0.2
2027	25	MLB CTX	MIL	31%	110	98	24	4	0	2	10	26	1	2	0	245	321	347	668	102	305	24	9	294	88	-2	+0	+0	+0	+2	0.2
2028	26	MLB CTX	MIL	45%	252	227	55	9	1	5	22	58	1	5	0	242	312	357	669	115	304	23	9	297	90	-3	+1	+0	+1	+5	0.4
2029	27	MLB CTX	MIL	49%	281	252	62	10	1	6	25	65	2	5	0	246	319	365	684	119	303	23	9	298	91	-3	+1	+0	+1	+6	0.5
2030	28	MLB CTX	MIL	52%	294	264	63	10	1	6	26	69	2	5	0	239	312	352	664	114	302	23	9	298	91	-3	+1	-0	+1	+6	0.5
2031	29	MLB CTX	MIL	52%	213	191	45	7	1	4	19	50	1	4	0	236	308	346	654	110	301	23	9	296	89	-3	+1	-1	+1	+5	0.3
2032	30	MLB CTX	MIL	56%	228	204	49	8	1	4	21	54	1	4	0	240	314	348	662	108	300	24	9	293	87	-3	+1	-1	+1	+5	0.2
2033	31	MLB CTX	MIL	59%	232	208	49	8	1	4	21	56	1	3	0	236	309	341	650	106	297	24	9	289	84	-4	+1	-2	+1	+5	0.0
2034	32	MLB CTX	MIL	61%	229	205	47	7	1	4	21	56	1	3	0	229	304	332	636	102	294	24	9	283	80	-5	+1	-2	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1839	1649	394	63	7	35	165	434	10	31	0	239	312	349	661	110	302	24	9	294	89	-27	+6	-6	+7	+40	2.0
/ 162G	—	A+C		—	650	583	138	22	2	12	58	153	4	11	0	237	310	343	653	106	299	24	9	294	89	-9	+2	-2	+2	+14	0.7
Career	—	MLE		—	4428	3970	966	155	16	77	388	1056	30	73	8	243	315	349	664	105	310	24	9	299	89	-52	+10	-10	+13	+79	4.0
/ 162G	—	MLE		—	650	583	141	23	2	11	57	155	4	11	1	242	314	345	658	103	309	24	9	299	89	-9	+2	-2	+2	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#2Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#3Yolmer 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
#4Tony 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
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.8	1,845	33	31	240	310	348	+7	+2	3.4	3.3
/162	664	12	11	+2.4	+0.7	1.2	pk7: 3
#6Jason Phillipslast yr '07 career totals — 5 seasons, 1,508 PA	2.3	1,508	29	0	248	314	368	+11	-10	2.7	2.7
/162	664	13	0	+4.7	-4.4	1.2	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
Mike Boeve (OGILVIE)	24	40	35	50	50	239/308/328	89	309	4	7	24%	9%	83	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Noe Becerra 2011 · AAA	24	45	41→30	45→40	47	217/275/309	92	267	9	9	22%	7%	66	-1.1	237/288/319	82	273	6	6	15%	6%	73	-0.6	282/332/341	59	319	2	0	12%	6%	93	+0.3
✕Casey Turgeon 2017 · AA	24	45	39→40	47→45	54	212/300/304	92	263	5	7	20%	10%	75	-0.5	210/290/307	97	273	9	8	24%	9%	72	-0.7	190/277/273	83	244	10	6	25%	9%	58	-1.0
✕Terrin Vavra 2021 · A	24	47→48	43→45	47→50	49	230/289/341	110	276	10	12	20%	8%	78	-0.3	246/322/355	109	321	8	11	24%	9%	94	+0.9	258/340/363	104	339	6	11	23%	9%	99	+0.5
✕Jeff Duncan 2004 · MLB	25	44→47	41→45	50→60	51	213/297/306	93	275	9	13	24%	10%	74	-0.5	225/295/327	102	291	9	18	24%	8%	78	-0.3	232/299/312	80	302	7	21	24%	7%	74	-0.3
✕Juan Carlos Gamboa 2014 · AAA	23	46	42→45	49→50	42	223/276/330	107	302	10	9	28%	6%	71	-0.8	245/297/348	103	306	8	8	21%	6%	83	+0.1	258/316/353	95	331	10	5	24%	7%	91	+0.3
✕Taylor Grzelakowski 2018 · A	24	43	41→45	50→30	42	210/261/306	96	282	8	8	28%	6%	60	-1.6	213/275/308	95	322	7	3	33%	7%	65	-1.2	206/272/297	91	310	6	1	33%	8%	60	-0.8
✕Austin Krum 2010 · AA	24	49→50	38→40	51→50	47	230/298/318	88	304	4	11	25%	8%	76	-0.4	227/290/301	74	292	4	16	22%	7%	70	-0.9	226/288/291	65	286	3	18	21%	7%	64	-1.2
✕John Mora 2017 · A	24	48→50	40	49→50	50	226/295/327	101	279	6	9	20%	8%	77	-0.3	216/271/304	88	292	5	9	26%	6%	63	-1.4	212/264/295	83	291	4	10	27%	6%	56	-1.5
✕Greg Cullen 2021 · A	24	46→44	41→40	43→40	48	220/302/323	103	278	8	3	23%	8%	80	-0.2	230/321/334	104	308	10	5	26%	10%	90	+0.6	230/333/323	93	312	9	4	26%	12%	90	+0.2
✕Anthony Seigler 2023 · A	24	41→39	42→45	46→55	56	196/304/308	112	272	9	11	28%	13%	78	-0.3	197/295/308	111	251	10	20	24%	12%	75	-0.5	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Sherman Johnson 2014 · A	24	48→50	38→45	52→50	52	225/305/316	91	295	4	9	24%	10%	79	-0.2	214/292/334	120	266	11	14	22%	10%	78	-0.3	201/283/322	120	245	12	16	22%	10%	70	-0.8
✕Damon Sublett 2011 · AA	25	46→49	41→45	47→50	49	216/296/321	105	306	6	8	29%	10%	77	-0.3	222/296/328	106	325	7	8	30%	9%	78	-0.3	245/318/369	124	369	5	2	32%	10%	93	+0.3
✕Michael Turconi 2023 · A	24	50→45	40→45	45→50	51	236/316/326	89	294	7	9	21%	9%	86	+0.3	208/289/300	92	308	6	8	31%	9%	70	-0.9	190/277/273	83	292	5	7	33%	10%	58	-0.9
✕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
✕Brandon Trinkwon 2016 · AA	24	48→51	39→40	47→50	52	231/297/315	84	272	7	10	18%	8%	76	-0.4	224/287/304	80	271	6	8	19%	8%	69	-0.9	216/278/281	65	257	4	5	17%	8%	57	-1.3
✕Cornelius Randolph 2021 · AA	24	44→47	41→40	46→45	43	212/270/309	97	291	9	9	29%	7%	64	-1.3	205/266/314	109	333	11	12	38%	7%	64	-1.3	189/255/292	102	294	12	15	37%	8%	53	-0.6
✕Matt Mangini 2010 · AA	24	45→50	43→45	50→45	40	223/275/331	107	294	11	8	27%	6%	71	-0.8	251/292/360	109	330	10	6	26%	5%	84	+0.1	260/301/361	101	344	9	4	26%	5%	84	+0.1
✕Shayne Fontana 2021 · A	24	48	40→45	52→55	45	226/293/329	103	298	6	13	25%	7%	78	-0.3	205/288/312	107	296	10	10	31%	9%	72	-0.7	217/300/310	94	291	10	19	27%	8%	75	-0.3
✕Scott Wingo 2013 · A	24	46→45	38→40	48→50	50	213/305/296	83	285	5	11	25%	9%	76	-0.4	207/301/294	87	292	6	10	28%	9%	74	-0.6	187/297/271	84	273	6	9	30%	10%	65	-0.8
✕Mark Mathias 2019 · AA	24	43→46	42→50	52→50	46	210/285/321	111	276	8	10	26%	8%	73	-0.6	224/286/345	121	284	10	13	24%	7%	79	-0.2	238/314/366	128	312	14	17	27%	9%	92	+0.4

Career Stats + Projections

Career Comps

Career Path Comps