Player 803723 — OGILVIE

Player 8037231B Lakeland Flying Tigers

Age — —/— A HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION378 act + 10 ros · stats below = ROS only

showingROS

wRC+†80

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

PA10

HR0

K%20

BB%10

BABIP276

ISO104

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 55 / POW 34

Toolsscout grade

CONTACT55

scouting grade only

POWER34

scouting grade only

EYE56

scouting grade only

SPEED53

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	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.4M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	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. 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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	—	A MLE	DET	—	378	327	70	13	2	3	38	75	9	18	1	214	313	294	606	80	266	20	10	282	77	-10	+3	+0	-7	+8	-0.6
▸ 2026 season
YTD	—	A RAW	DET	—	378	314	79	14	3	4	51	53	9	18	1	252	372	354	725	102	288	14	13	333	77	—	—	—	—	—	—
ROS	—	A MLE	DET	0%	10	9	1	0	0	0	1	2	0	0	0	111	200	111	311		280	20	10	287	80	-0	+0	+0	-0	+0	-0.0
TOT	—	A MLE	DET	—	388	336	71	13	2	3	39	77	9	18	1	211	310	289	599	77	263	20	10	282	77	-11	+3	+0	-7	+8	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	DET	0%	454	399	90	17	3	7	44	102	8	10	1	226	315	336	651	110	283	22	10	295	86	-8	+2	+0	-8	+10	-0.5
2028	25	MLB MLE	DET	0%	490	432	97	18	3	8	47	110	8	11	1	225	312	336	648	111	284	22	10	298	88	-7	+2	+0	-9	+11	-0.3
2029	25	MLB MLE	DET	0%	529	464	106	20	3	9	51	119	9	12	2	228	317	343	659	114	284	22	10	300	89	-7	+2	+0	-9	+11	-0.3
2030	25	MLB MLE	DET	0%	559	491	112	21	3	10	54	125	9	13	2	228	316	344	660	116	284	22	10	302	90	-6	+2	+0	-10	+12	-0.2
2031	25	MLB MLE	DET	0%	573	504	116	22	3	11	55	129	9	13	2	230	317	351	668	121	284	23	10	303	91	-6	+2	+0	-10	+12	-0.2
2032	25	MLB MLE	DET	0%	584	512	117	22	3	11	57	131	10	13	2	229	318	348	665	119	284	22	10	303	91	-6	+2	+0	-10	+13	-0.2
2033	25	MLB MLE	DET	0%	593	520	119	22	3	12	58	133	10	13	2	229	318	352	670	123	283	22	10	304	92	-6	+2	+0	-11	+13	-0.2
2034	25	MLB MLE	DET	0%	600	526	121	23	3	12	59	134	10	14	2	230	319	354	673	124	283	22	10	304	92	-6	+2	+0	-11	+13	-0.1
2027	25	MLB CTX	DET	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	279	—	—	278	86	—	—	+0	-0	—	—
2028	25	MLB CTX	DET	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	279	—	—	282	88	—	—	+0	-0	—	—
2029	25	MLB CTX	DET	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	279	—	—	284	89	—	—	+0	-0	—	—
2030	25	MLB CTX	DET	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	279	—	—	285	90	—	—	+0	-0	—	—
2031	25	MLB CTX	DET	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	279	—	—	286	91	—	—	+0	-0	—	—
2032	25	MLB CTX	DET	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	279	—	—	286	91	—	—	+0	-0	—	—
2033	25	MLB CTX	DET	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	279	—	—	287	92	—	—	+0	-0	—	—
2034	25	MLB CTX	DET	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	279	—	—	287	92	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	4392	3857	879	165	24	80	426	985	73	99	14	228	316	345	662	117	284	22	10	301	90	-52	+14	+0	-78	+95	-2.1
/ 162G	—	MLE		—	650	571	130	24	4	12	63	146	11	15	2	228	316	347	663	119	284	22	10	301	90	-8	+2	+0	-12	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Kole Calhounlast yr '23 career totals — 11 seasons, 4,963 PA	7.5	4,963	179	33	242	316	418	-54	-33	8.3	9.6
/162	664	24	4	-7.3	-4.4	1.1	pk7: 11
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#3Robbie Grossmanlast yr '24 career totals — 12 seasons, 4,561 PA	6.9	4,561	93	67	242	345	374	-49	-62	5.0	6.1
/162	664	14	10	-7.1	-9.0	0.7	pk7: 7
#4Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#5Gregory 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.1	4,702	84	105	229	314	347	-53	+0	4.1	4.0
/162	664	12	15	-7.4	+0.0	0.6	pk7: 4
#6Dustin 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

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
Player 803723 (OGILVIE)	25	55	34	53	56	218/309/310	92	280	4	11	23%	10%	80	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Marty Costes 2021 · A	25	46→56	43→45	50	48	223/297/336	113	267	10	9	20%	7%	81	-0.1	246/327/353	107	315	8	14	23%	8%	96	+1.0	247/334/354	107	319	8	16	23%	8%	96	+0.5
✕Cutter Dykstra 2014 · A	25	49→56	38→40	52→55	47	229/299/312	83	308	5	16	26%	8%	76	-0.4	229/293/311	82	316	6	11	27%	8%	73	-0.6	223/285/297	74	307	6	9	28%	7%	65	-0.9
✕Daniel Robertson 2011 · A	25	55→58	40	53→55	51	262/319/362	100	293	6	16	13%	7%	94	+0.9	255/310/343	88	294	4	17	14%	6%	86	+0.3	255/312/350	95	291	7	16	14%	6%	86	+0.2
✕Jack Dunn 2022 · A	25	50→48	38→40	53→55	47	235/298/314	79	300	6	15	23%	7%	76	-0.4	222/305/297	75	290	6	18	23%	10%	75	-0.5	213/306/284	71	274	6	21	22%	10%	71	-0.6
✕Tucker Bradley 2022 · A	24	48→53	41→45	54→50	46	227/299/335	107	310	8	11	28%	8%	81	-0.1	243/306/369	126	316	11	15	25%	8%	91	+0.7	250/313/384	134	318	12	17	24%	8%	95	+0.6
✕Anthony Granato 2006 · A	25	50→51	39→40	53→55	50	232/309/319	87	314	6	17	26%	10%	81	-0.1	221/300/314	93	310	7	17	28%	9%	77	-0.3	179/288/250	72	261	5	31	30%	12%	58	-0.3
✕Ed Lucas 2007 · A	25	50→56	38→45	51→50	45	239/287/320	80	298	5	16	21%	6%	72	-0.7	243/295/339	96	305	8	15	22%	7%	80	-0.2	249/314/362	113	308	11	15	22%	8%	90	+0.4
✕Kevin Kaczmarski 2017 · A	25	52→55	39→40	53→50	45	246/296/352	106	310	4	12	21%	6%	83	+0.1	243/306/323	80	317	3	11	23%	7%	80	-0.1	246/315/312	66	322	3	12	22%	8%	80	-0.1
✕Richard Racobaldo 2010 · A	25	50→48	44→45	49→50	45	245/299/362	117	302	11	9	22%	6%	87	+0.4	226/282/318	92	319	6	8	29%	7%	70	-0.8	219/278/301	82	318	4	6	30%	7%	63	-1.1
✕Brian Finegan 2007 · A	25	51→54	41→40	52→50	44	243/300/344	101	306	8	15	22%	6%	83	+0.1	218/276/304	86	299	6	13	28%	6%	65	-1.2	204/264/276	72	284	6	13	29%	6%	52	-0.9
✕Gus Milner 2009 · A	25	48→50	41→40	50	45	230/291/330	100	308	7	14	26%	7%	77	-0.3	214/265/303	89	306	7	9	31%	6%	61	-1.5	195/239/269	73	286	7	5	33%	4%	41	-2.0
✕Steve Tolleson 2008 · A	24	50→53	39→45	49→50	52	236/313/328	92	304	6	14	23%	10%	84	+0.2	246/308/354	108	303	8	13	20%	8%	88	+0.5	252/311/367	115	300	10	12	18%	7%	89	+0.4
✕Scott Savastano 2010 · A	24	53→57	39→45	52→45	48	252/313/341	89	316	6	9	22%	7%	87	+0.4	245/300/353	108	307	9	6	22%	7%	85	+0.2	241/296/353	111	301	9	4	22%	6%	81	-0.0
✕Shane Justis 2008 · A	25	51→53	44→40	52→50	48	246/308/362	115	287	11	10	18%	7%	91	+0.6	244/302/333	89	287	5	10	16%	6%	81	-0.1	247/305/327	81	289	4	9	15%	5%	78	-0.2
✕Matt Thayer 2007 · A	25	49→46	38→40	50	46	232/292/315	82	298	5	14	23%	7%	74	-0.6	229/297/301	72	307	4	12	25%	8%	72	-0.7	236/315/281	45	322	2	12	24%	9%	72	-0.4
✕Daniel Lyons 2010 · A	25	44→48	40→45	51→50	50	209/293/306	97	268	7	15	23%	9%	73	-0.6	199/284/276	77	275	4	12	27%	9%	63	-1.4	176/273/228	52	251	2	11	27%	10%	47	-1.5
✕Eric Fryer 2011 · A	25	50→60	42→45	52→50	46	239/305/353	114	310	9	11	25%	7%	88	+0.4	224/294/328	104	292	9	10	24%	8%	78	-0.3	245/306/306	62	322	2	6	23%	8%	73	-0.2
✕Kellen Strahm 2022 · A	25	49→54	45→40	53→60	45	227/303/352	125	344	12	10	35%	9%	86	+0.3	238/315/337	99	329	9	13	28%	10%	87	+0.4	238/316/326	88	324	7	16	26%	10%	83	+0.1
✕Maikol Gonzalez 2011 · A	25	51→58	37→40	53→60	47	237/297/319	82	306	2	17	22%	7%	76	-0.4	220/290/303	83	307	4	16	27%	8%	70	-0.8	265/333/315	49	315	1	35	15%	9%	85	+0.2
✕Aaron Mathews 2006 · A	24	48→53	43→45	55→45	44	232/282/350	118	296	9	13	24%	6%	78	-0.3	247/285/359	112	295	9	7	19%	5%	80	-0.1	255/291/364	109	301	8	5	18%	4%	81	-0.0

Career Stats + Projections

Career Comps

Career Path Comps