Beau Ankeney

1B Lakeland Flying Tigers

Age 24 R/R 6'4" / 235 lbs A HR -8% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	ADET	20	.267/.400/.400	0	0	75	—	.235/.350/.353
2026	23	A+/ADET	483	.281/.365/.526	24	4	81	—	.211/.280/.387
2027PROJMLE	24	MLBDET	380	.218/.284/.385	13	5	87	-0.1
2028PROJ30% MLB	25	MLBDET	78	.216/.283/.377	3	1	88	-0.1
2029PROJ44% MLB	26	MLBDET	135	.217/.284/.378	4	2	89	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030Ext$0.0M2031Ext$0.0M2032Ext$0.9M2033Ext$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

ISO99

wRC+97

wOBA96

BB%69

K%48

Chase%42

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%

CompsWes Clarke (age 24) · Jabari Henry (age 24) · Brandon Meredith (age 24)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†87

AVG/OBP/SLG.216 / .282 / .382

PA210

HR7

K%29

BB%7

ISO167

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 21 / POW 53

Toolsscout grade

CONTACT21

scouting grade only

POWER53

scouting grade only

EYE45

scouting grade only

SPEED44

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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. 2027 = full-season projection (no games played yet). 2028+ 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)
2025	22	A	Lakeland Flying Tigers	—	20	15	4	0	1	0	3	6	1	0	0	267	400	400	800	133	444	30	15	358	75	—	—	—	—	—	—
2026	23	A+	West Michigan Whitecaps	—	115	97	28	6	1	9	16	28	1	0	0	289	395	649	1.044	361	311	24	14	442	123	—	—	—	—	—	—
2026	23	A	Lakeland Flying Tigers	—	368	323	90	17	3	15	31	105	9	4	1	279	356	489	845	211	364	29	8	369	68	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Lakeland Flying Tigers	—	20	17	4	0	1	0	2	8	1	0	0	235	350	353	703	118	380	40	10	279	75	—	—	—	—	—	—
2026	23	A+ MLE	West Michigan Whitecaps	—	115	102	24	5	1	7	11	36	1	0	0	235	316	510	826	275	279	31	10	350	123	—	—	—	—	—	—
2026	23	A MLE	Lakeland Flying Tigers	—	368	335	68	12	2	11	21	143	9	4	1	203	268	349	618	146	303	39	6	268	68	—	—	—	—	—	—
2025	22	A MLE	Lakeland Flying Tigers	—	20	17	4	0	1	0	2	8	1	0	0	235	350	353	703	118	444	40	10	279	75	—	—	—	—	—	—
2025	22	A RAW	Lakeland Flying Tigers	—	20	15	4	0	1	0	3	6	1	0	0	267	400	400	800	133	444	30	15	358	75	—	—	—	—	—	—
2026	23	A MLE	2 teams	—	483	437	92	17	3	18	32	178	10	4	1	211	280	387	666	176	302	37	7	288	81	—	—	—	—	—	—
2026	23	A RAW	2 teams	—	483	420	118	23	4	24	47	133	10	4	1	281	365	526	892	245	352	28	10	387	81	—	—	—	—	—	—
2025	22	A MLE	Lakeland Flying Tigers	—	20	17	4	0	1	0	2	8	1	0	0	235	350	353	703	118	380	40	10	279	75	—	—	—	—	—	—
2026	23	A MLE	2 teams	—	483	438	92	17	3	18	32	178	10	4	1	210	280	386	666	176	297	37	7	288	81	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A MLE	Lakeland Flying Tigers	—	20	17	4	0	1	0	2	8	1	0	0	235	350	353	703	118	380	40	10	279	75	—	—	—	—	—	—
2026	23	A MLE	2 teams	—	483	438	92	17	3	18	32	178	10	4	1	210	280	386	666	176	297	37	7	288	81	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	DET	0%	380	345	75	14	2	13	27	111	5	5	1	218	284	385	669	167	278	29	7	297	87	-6	+1	+0	-7	+8	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	DET	30%	260	237	51	9	1	9	18	75	3	3	1	220	287	388	674	168	279	29	7	299	88	-4	+0	+0	-5	+6	-0.2
2029	26	MLB MLE	DET	44%	305	276	62	11	2	11	22	87	4	4	1	221	288	388	676	167	279	29	7	300	89	-4	+0	+0	-5	+7	-0.2
2028	25	MLB CTX	DET	30%	78	71	15	3	0	3	6	23	1	1	0	216	283	377	660	162	274	29	8	293	88	-1	+0	+0	-1	+2	-0.1
2029	26	MLB CTX	DET	44%	135	122	26	5	1	4	10	39	2	2	0	217	284	378	662	161	274	29	7	294	89	-2	+0	+0	-2	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	213	193	41	8	1	7	16	62	3	3	0	212	283	373	656	161	272	29	8	294	85	-3	+1	+0	-4	+5	-0.1
/ 162G	—	A+C		—	650	589	124	24	3	21	49	189	9	9	0	211	281	368	650	158	270	29	8	294	85	-9	+2	+0	-12	+14	-0.4
Career	—	MLE		—	1278	1157	251	45	8	45	89	410	21	14	4	217	285	386	671	169	290	32	7	294	85	-11	+1	+0	-14	+17	-0.7
/ 162G	—	MLE		—	650	588	128	23	4	23	45	209	11	7	2	218	286	388	673	170	292	32	7	294	85	-9	+1	+0	-12	+14	-0.6

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ALakeland Flying Tigers · 368 PAwOBA .361 → .268 (−94)K% 28.5% → 38.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.53%	÷1.000	×1.360	—	—	38.80%
BB% (unintentional) /PA	8.15%	÷1.000	×0.690	—	×0.990	5.57%
HBP% /PA	2.45%	—	×0.780	—	×0.990	1.89%
Singles /BIP	25.23%	÷1.000	×0.920	×0.951	×0.990	21.84%
Doubles /BIP	7.80%	÷1.000	×0.830	×0.951	×0.990	6.09%
Triples /BIP	1.38%	÷1.000	×0.910	×0.951	×0.990	1.18%
Home runs /BIP	6.88%	÷1.000	×0.800	—	×0.990	5.45%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.

Result: wOBA .361 → .268; ISO .211 → .152; BABIP .364 → .303. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 A+West Michigan Whitecaps · 115 PAwOBA .433 → .350 (−83)K% 24.3% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.35%	÷1.000	×1.270	—	—	30.92%
BB% (unintentional) /PA	13.91%	÷1.000	×0.710	—	×0.998	9.86%
HBP% /PA	0.87%	—	×0.790	—	×0.998	0.69%
Singles /BIP	17.39%	÷1.000	×0.920	×1.050	×0.998	16.77%
Doubles /BIP	8.70%	÷1.000	×0.810	×1.050	×0.998	7.38%
Triples /BIP	1.45%	÷1.000	×0.850	×1.050	×0.998	1.29%
Home runs /BIP	13.04%	÷1.000	×0.800	—	×0.998	10.41%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .433 → .350; ISO .361 → .286; BABIP .311 → .279. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ALakeland Flying Tigers · 20 PAwOBA .350 → .279 (−72)K% 30.0% → 40.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷0.998	×1.360	—	—	40.87%
BB% (unintentional) /PA	15.00%	÷0.945	×0.690	—	—	10.95%
HBP% /PA	5.00%	—	×0.780	—	—	3.90%
Singles /BIP	33.33%	÷1.051	×0.920	—	—	29.17%
Doubles /BIP	0.00%	÷0.971	×0.830	—	—	0.00%
Triples /BIP	11.11%	÷1.150	×0.910	—	—	8.79%
Home runs /BIP	0.00%	÷0.864	×0.800	—	—	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 110, 2B 94, 3B 130, K 100, BB 89 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .350 → .279; ISO .133 → .104; BABIP .444 → .380. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#2Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#3Brian Hunter'91-'00 * career totals — 9 seasons, 1,742 PA	2.6	1,742	67	4	226*	288*	432*	-29	+4	0.1	0.8
/162	664	26	2	-11.1	+1.6	0.0	pk7: 1
#4Eric Anthony'89-'97 * career totals — 9 seasons, 2,243 PA	3.4	2,243	78	24	225*	300*	410*	-22	-22	0.1	0.6
/162	664	23	7	-6.7	-6.6	0.0	pk7: 1
#5Chad Pinderlast yr '22 career totals — 7 seasons, 1,740 PA	2.6	1,740	62	5	242	294	417	-17	-20	0.6	0.6
/162	664	24	2	-6.5	-7.6	0.2	pk7: 1
#6Karim Garcia'95-'04 * career totals — 6 seasons, 1,560 PA	2.3	1,560	66	10	231*	269*	413*	-16	-3	-1.0	0.1
/162	664	28	4	-6.7	-1.3	-0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.6	423	15	6	220	284	388	-8	-3	-0.1	-0.1
/162	664	23	9	-11.9	-4.7	-0.2	pk7: 0

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
Beau Ankeney (OGILVIE)	24	21	53	44	45	216/282/382	165	278	7	3	29%	7%	87	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Wes Clarke 2024 · AA	24	38→39	52→50	46→40	50	196/301/365	169	286	20	5	36%	12%	91	+0.6	204/299/358	154	298	19	5	35%	11%	88	+0.4	191/291/339	147	270	19	3	34%	12%	78	-0.2
✕Jabari Henry 2015 · A	24	42→41	52→55	41→45	49	217/297/388	171	275	20	6	28%	9%	93	+0.8	188/261/333	145	260	17	6	33%	8%	68	-1.0	153/227/285	132	210	17	5	35%	8%	41	-1.8
✕Brandon Meredith 2014 · A	24	43→39	49→50	46→45	47	218/299/372	154	287	16	8	29%	9%	90	+0.6	209/283/347	138	275	16	7	28%	8%	78	-0.3	191/266/325	134	242	17	5	28%	8%	64	-0.5
✕Travis Vetters 2008 · A	24	41	51→60	45	35	214/264/374	160	290	18	5	32%	4%	78	-0.3	219/269/340	121	309	11	6	31%	5%	71	-0.8	216/266/330	113	306	9	5	31%	5%	65	-0.5
✕Tyreque Reed 2021 · A	24	42→37	48→50	42→40	41	211/276/355	144	295	16	5	33%	7%	78	-0.3	213/281/360	147	323	18	5	37%	8%	81	-0.1	198/272/348	151	298	20	3	39%	8%	72	-0.3
✕Tyler Dearden 2022 · A	24	38→33	54→50	47→30	41	204/278/379	175	295	24	3	38%	8%	84	+0.2	226/295/346	120	330	13	3	33%	8%	82	+0.0	229/296/323	95	336	8	0	32%	7%	75	-0.2
✕Alex Frazier 2006 · A	25	41→38	51→55	44→45	44	216/290/378	161	274	20	6	28%	7%	88	+0.5	207/260/331	124	278	14	5	30%	5%	66	-1.1	186/224/290	104	250	12	1	30%	3%	41	-1.7
✕Niko Hulsizer 2021 · A	24	43→30	53→60	47→50	40	211/289/387	175	324	21	9	39%	8%	91	+0.6	199/273/368	169	340	21	12	44%	8%	80	-0.1	180/262/340	160	296	20	12	43%	9%	67	-0.7
✕Ruben Ibarra 2024 · A	25	39→36	50	47→30	43	204/279/349	145	273	19	4	32%	8%	78	-0.3	200/271/347	147	265	19	2	31%	7%	75	-0.5	190/263/343	153	244	21	1	31%	7%	69	-0.7
✕Carlos Rincon 2022 · AA	24	40	52→55	50→45	39	214/269/378	163	291	21	6	34%	6%	80	-0.1	215/264/355	140	313	16	7	35%	6%	73	-0.6	175/213/292	116	275	12	0	40%	4%	35	-0.9
✕Curtis Terry 2021 · A	24	43→42	50→55	43→30	38	220/275/372	152	291	17	3	30%	5%	82	-0.0	223/288/382	159	273	18	4	25%	6%	88	+0.5	218/286/382	164	260	19	2	24%	6%	85	+0.1
✕Nick Akins 2012 · A	24	37	51→55	42→45	40	198/262/357	158	268	19	3	33%	7%	73	-0.6	201/260/324	123	269	14	8	30%	6%	64	-1.3	182/240/292	111	233	13	11	28%	6%	49	-1.3
✕Brian Pellegrini 2010 · A	25	35→33	57→60	50→45	40	200/270/394	193	264	27	8	35%	7%	85	+0.2	221/288/409	188	281	26	7	30%	8%	95	+1.0	211/287/429	217	233	33	2	27%	8%	97	+0.4
✕Jared Keel 2009 · A	24	38→37	52→50	48→45	47	205/287/369	164	247	20	10	26%	8%	86	+0.3	203/287/346	143	259	16	7	27%	9%	80	-0.1	178/276/316	138	223	16	1	27%	11%	68	-0.6
✕Justin Nelson 2007 · A	24	39→41	51→55	44→45	42	205/272/373	168	283	18	7	34%	8%	80	-0.1	218/290/393	175	310	21	5	34%	8%	92	+0.7	218/296/407	189	304	24	2	34%	9%	96	+0.6
✕Mike Bianucci 2010 · A	24	42→40	57→60	46→40	38	228/278/422	194	289	26	7	31%	5%	95	+0.9	210/254/366	156	270	20	4	30%	4%	72	-0.7	225/268/403	178	265	25	2	26%	4%	83	+0.1
✕Jared Clark 2011 · A	25	44→40	52→55	44→45	44	226/290/384	158	296	21	7	30%	8%	90	+0.6	204/280/372	168	277	22	4	33%	9%	84	+0.1	179/268/358	178	232	24	1	34%	10%	74	-0.4
✕Allan Cerda 2024 · AA	24	33→25	51→55	41→45	45	174/279/330	156	276	19	7	41%	11%	75	-0.5	187/266/327	140	306	16	8	41%	9%	68	-1.0	141/217/302	161	189	23	4	40%	8%	41	-0.6
✕Michael Toglia 2024 · MLB	25	38→40	50→55	46→45	45	200/273/354	154	273	19	6	33%	9%	76	-0.4	208/281/384	176	283	22	7	33%	9%	86	+0.3	205/279/388	183	275	23	7	34%	9%	86	+0.3
✕Ryan Rua 2014 · AA	24	37→47	54→50	52→50	42	205/269/387	181	252	23	10	29%	6%	83	+0.1	234/291/379	145	299	17	8	27%	6%	88	+0.5	243/301/377	133	312	16	9	26%	6%	90	+0.4

Beau Ankeney

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps