Beau Ankeney — OGILVIE

Beau Ankeney1B Lakeland Flying Tigers

Age 23 R/R 6'4" / 235 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION483 act + 10 ros · stats below = ROS only

showingROS

wRC+†84

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP285

ISO152

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 25 / POW 58

Toolsscout grade

CONTACT25

scouting grade only

POWER58

scouting grade only

EYE51

scouting grade only

SPEED49

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
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
Totals		$0.0M		$-0.8M	+$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. 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)
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	128	+1	+0	—	—	+0	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Lakeland Flying Tigers	—	20	17	3	0	1	0	2	9	1	0	0	176	300	294	594	118	370	45	10	270	69	-1	+0	—	—	+0	-0.0
2025	22	A MLE	Lakeland Flying Tigers	—	20	17	3	0	1	0	2	9	1	0	0	176	300	294	594	118	375	45	10	270	69	—	—	—	—	—	—
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	69	—	—	—	—	—	—
2025	22	A MLE	Lakeland Flying Tigers	—	20	17	3	0	1	0	2	9	1	0	0	176	300	294	594	118	370	45	10	270	69	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	A MLE	Lakeland Flying Tigers	—	20	17	3	0	1	0	2	9	1	0	0	176	300	294	594	118	370	45	10	270	69	—	—	—	—	—	—
YTD	23	A MLE	DET	—	483	435	91	18	3	18	34	187	10	4	1	209	282	389	670	179	312	39	7	293	85	-9	+0	+0	-9	+10	-0.7
▸ 2026 season
YTD	23	A RAW	DET	—	368	323	90	17	3	15	31	105	9	4	1	279	356	489	845	211	364	29	8	369	85	—	—	—	—	—	—
YTD	23	A+ RAW	DET	—	115	97	28	6	1	9	16	28	1	0	0	289	395	649	1.044	361	311	24	14	442	85	—	—	—	—	—	—
ROS	23	A MLE	DET	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		290	30	10	293	84	-0	+0	+0	-0	+0	-0.0
TOT	23	A MLE	DET	—	493	444	92	18	3	18	35	190	10	4	1	207	280	383	663	176	308	39	7	293	85	-9	+0	+0	-9	+11	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	DET	30%	522	470	102	19	3	19	38	170	9	5	1	217	288	391	680	174	291	33	7	301	90	-7	+1	+0	-9	+11	-0.4
2028	25	MLB MLE	DET	44%	563	507	112	21	3	21	42	178	9	5	1	221	292	398	691	178	292	32	7	305	93	-5	+1	+0	-10	+12	-0.2
2029	26	MLB MLE	DET	51%	594	534	119	23	3	22	45	185	10	6	1	223	295	401	696	178	291	31	8	308	94	-4	+1	+0	-11	+13	-0.1
2030	27	MLB MLE	DET	52%	593	532	118	22	3	22	46	184	10	6	1	222	296	398	694	177	291	31	8	308	95	-4	+1	+0	-11	+13	-0.1
2031	28	MLB MLE	DET	53%	588	527	117	22	3	22	46	183	10	5	1	222	297	400	697	178	290	31	8	307	94	-4	+1	-1	-10	+13	-0.2
2032	29	MLB MLE	DET	53%	581	521	115	22	3	21	46	182	9	5	1	221	295	395	691	175	289	31	8	305	92	-5	+1	-1	-10	+13	-0.4
2027	24	MLB CTX	DET	30%	157	142	30	6	1	5	11	51	3	1	0	211	282	373	655	162	286	32	7	282	90	-2	+0	+0	-3	+3	-0.1
2028	25	MLB CTX	DET	44%	248	223	48	9	1	9	19	78	4	2	1	215	289	386	674	170	286	31	8	287	93	-2	+0	+0	-4	+5	-0.1
2029	26	MLB CTX	DET	51%	301	270	60	11	2	11	23	94	5	3	1	222	295	400	695	178	286	31	8	290	94	-2	+0	+0	-5	+7	-0.1
2030	27	MLB CTX	DET	52%	311	279	61	11	2	11	24	96	5	3	1	219	292	391	683	172	286	31	8	290	95	-2	+0	+0	-6	+7	-0.1
2031	28	MLB CTX	DET	53%	313	281	61	11	2	11	24	97	5	3	1	217	290	388	678	171	285	31	8	289	94	-2	+0	-0	-6	+7	-0.1
2032	29	MLB CTX	DET	53%	305	273	60	11	2	11	24	96	5	3	1	220	295	396	690	176	283	31	8	287	92	-3	+0	-1	-5	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1635	1468	320	59	10	58	125	512	27	15	5	218	291	390	682	172	289	31	8	288	93	-13	+1	-1	-29	+35	-0.7
/ 162G	—	A+C		—	650	584	127	23	4	23	50	204	11	6	2	217	292	389	681	171	288	31	8	288	93	-5	+0	-0	-12	+14	-0.3
Career	—	MLE		—	3471	3117	687	129	19	127	266	1094	58	32	6	220	294	396	690	176	293	32	8	305	93	-29	+4	-2	-62	+75	-1.4
/ 162G	—	MLE		—	650	584	129	24	4	24	50	205	11	6	1	221	295	399	694	178	293	32	8	305	93	-5	+1	-0	-12	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brandon Mosslast yr '17 career totals — 8 seasons, 3,459 PA	5.2	3,459	160	11	238	315	455	-53	-41	5.9	5.9
/162	664	31	2	-10.2	-7.9	1.1	pk7: 6
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#3Justin Smoaklast yr '20 career totals — 11 seasons, 4,750 PA	7.2	4,750	196	3	229	322	419	-85	-77	1.9	3.9
/162	664	27	0	-11.9	-10.7	0.3	pk7: 6
#4Chris Carterlast yr '17 career totals — 7 seasons, 2,807 PA	4.2	2,807	158	12	219	314	462	-50	-50	3.3	3.3
/162	664	37	3	-11.7	-11.9	0.8	pk7: 3
#5Ike Davislast yr '15 career totals — 6 seasons, 2,377 PA	3.6	2,377	81	7	239	332	416	-42	-36	1.7	1.7
/162	664	23	2	-11.9	-10.1	0.5	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.6	1,750	63	17	221	291	396	-31	-6	0.4	0.4
/162	664	24	6	-11.9	-2.3	0.1	pk7: 1
#6Hunter Dozierlast yr '23 career totals — 6 seasons, 2,294 PA	3.5	2,294	73	19	238	305	421	-23	-45	0.0	0.0
/162	664	21	5	-6.5	-13.2	0.0	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)	23	20→25	53→58	44→49	51	208/279/373	164	290	4	1	34%	7%	84	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aristides Aquino 2017 · A	23	41	50→60	50	37	213/252/369	156	271	17	9	29%	4%	72	-0.7	202/246/362	160	265	20	8	31%	5%	68	-1.0	212/278/428	216	266	32	9	33%	7%	91	+0.4
✕Jonny DeLuca 2022 · A	24	40→37	53→60	56→55	45	216/275/390	173	253	21	15	24%	7%	85	+0.2	224/289/407	183	256	22	16	22%	7%	95	+0.9	221/290/400	179	249	21	19	21%	7%	91	+0.4
✕Alexander Canario 2022 · A	22	36→34	50→60	50	36	193/240/341	148	278	18	14	37%	6%	61	-1.5	207/269/387	180	291	23	14	36%	7%	83	+0.1	201/270/393	193	274	26	13	36%	8%	82	-0.0
✕Brian Pellegrini 2009 · A	24	36→34	55→60	56→45	39	198/270/387	189	267	24	11	35%	6%	84	+0.1	214/285/415	201	277	28	7	33%	8%	96	+1.0	206/281/415	209	254	32	5	33%	8%	94	+0.6
✕Jabari Henry 2014 · A	23	42→41	46→55	45	49	209/282/340	131	262	12	7	25%	9%	76	-0.4	200/278/360	160	268	19	6	31%	9%	80	-0.1	182/263/345	163	243	21	5	33%	9%	68	-0.7
✕Aaron Luna 2010 · AA	23	40→45	50	49→45	46	205/312/364	158	263	16	8	27%	8%	95	+0.9	225/323/366	141	281	15	8	24%	8%	99	+1.2	223/327/361	137	276	16	6	24%	9%	97	+0.7
✕Cody Decker 2010 · A	23	46→39	55→65	49→30	42	237/297/431	194	295	22	3	27%	6%	103	+1.6	220/279/426	206	283	27	2	32%	7%	95	+1.0	208/270/418	210	259	29	1	32%	7%	88	+0.3
✕Ryan Strieby 2009 · A	23	42→44	54→55	43→40	46	223/287/401	179	268	22	3	26%	8%	93	+0.8	226/297/386	160	302	19	4	30%	8%	93	+0.8	217/292/359	142	305	17	3	33%	8%	82	-0.0
✕Collin Ferguson 2017 · A	24	37→27	48→55	47→45	41	194/262/331	137	272	16	8	34%	7%	68	-1.0	216/275/339	123	307	12	9	32%	7%	73	-0.6	244/295/377	134	331	12	9	28%	6%	88	+0.2
✕David Fry 2019 · A	23	45→44	49→55	47→45	45	229/292/380	151	279	17	4	24%	7%	89	+0.5	209/268/342	133	271	14	4	27%	7%	72	-0.7	240/318/401	161	288	18	5	22%	8%	100	+0.8
✕Kyle Martin 2008 · A	23	38	48→55	48→45	38	199/242/338	139	246	16	6	27%	4%	61	-1.5	209/259/330	121	269	12	6	26%	5%	65	-1.2	203/255/323	120	257	13	5	26%	5%	60	-0.5
✕Chris Jacobs 2012 · A	23	43→41	50→55	47→40	40	217/278/369	152	320	18	3	37%	7%	82	-0.0	219/288/386	167	329	22	3	38%	8%	90	+0.6	212/291/389	177	302	24	2	36%	8%	90	+0.4
✕Damiano Palmegiani 2023 · A	23	37→39	54→50	50→40	43	203/278/377	174	253	23	5	30%	7%	84	+0.2	193/272/337	144	269	17	5	33%	8%	73	-0.6	176/262/306	130	252	15	3	34%	8%	60	-1.1
✕Brandon Meredith 2014 · A	24	44→40	49→50	46→45	47	219/301/375	156	289	16	8	29%	9%	92	+0.7	212/285/350	138	279	16	7	28%	8%	80	-0.1	196/270/331	135	249	17	5	28%	8%	67	-0.4
✕O'Koyea Dickson 2013 · A	23	44→46	50→55	44→45	44	227/287/380	154	265	18	7	22%	6%	88	+0.4	225/276/370	145	254	16	5	18%	5%	81	-0.1	219/280/401	182	254	22	3	24%	6%	88	+0.2
✕Stefan Trosclair 2018 · A	24	43→42	47→50	50	44	216/290/351	135	288	15	9	29%	7%	82	+0.0	215/279/343	128	302	13	7	32%	6%	76	-0.4	203/266/330	127	288	14	4	33%	5%	67	-0.8
✕Mark Fleisher 2007 · A	23	42→40	48→55	46→30	44	217/272/357	140	262	15	4	24%	6%	76	-0.4	218/266/373	155	277	18	3	28%	5%	78	-0.3	213/258/376	163	269	20	0	29%	4%	76	-0.3
✕Ruben Ibarra 2023 · A	24	41→36	48→50	47→30	41	207/282/341	134	291	16	6	33%	7%	78	-0.3	200/275/341	141	273	18	3	33%	7%	75	-0.5	189/265/336	146	247	20	1	31%	7%	68	-0.7
✕Michael Toglia 2022 · AA	23	38→39	48→55	49→45	42	193/265/335	142	287	16	9	37%	8%	70	-0.9	197/270/360	163	275	21	7	35%	9%	77	-0.3	202/279/386	184	273	24	7	34%	9%	83	+0.1
✕Justin Nelson 2006 · A	23	43→41	52→55	47→45	45	225/290/398	173	287	19	10	28%	8%	93	+0.8	214/284/388	174	304	20	6	34%	8%	88	+0.5	204/279/384	180	291	21	3	36%	8%	84	+0.1

Career Stats + Projections

Career Comps

Career Path Comps