Dayson Croes — OGILVIE

Dayson CroesIF Richmond Flying Squirrels

Age 26 L/R 5'10" / 199 lbs AA HR -15%H -3% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION417 act + 9 ros · stats below = ROS only

showingROS

wRC+†77

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

PA9

HR0

K%22

BB%6

BABIP284

ISO89

MLB%2%

Value2026 · WAR

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

Tools · ContractCON 55 / POW 35

Toolsscout grade

CONTACT55

scouting grade only

POWER35

scouting grade only

EYE50

scouting grade only

SPEED45

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	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
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
Totals		$0.0M		$-0.6M	+$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	25	AAA	Sacramento River Cats	—	48	43	15	3	1	0	2	5	3	0	0	349	417	465	882	116	395	10	4	396	154	+3	+0	—	—	+1	0.4
2025	25	AA	Richmond Flying Squirrels	—	83	75	23	2	1	1	5	15	1	0	0	307	358	400	758	93	367	18	6	334	112	+1	+0	—	—	+2	0.3
2025	25	A+	Eugene Emeralds	—	204	173	49	18	1	1	24	30	4	2	1	283	383	416	799	133	336	15	12	357	127	+7	+0	—	—	+4	1.1
2025	25	ROK	ACL Giants	—	30	26	8	1	0	1	4	5	0	0	1	308	400	462	862	154	350	17	13	386	147	+2	-0	—	—	+1	0.2
2025	25	INTL	Caneros de los Mochis	—	119	103	31	4	0	4	9	16	1	1	2	301	363	456	819	155	318	13	8	347	121	+3	-1	—	—	+3	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	25	AAA MLE	Sacramento River Cats	—	48	44	12	2	1	0	1	6	3	0	0	273	333	364	697	91	343	12	2	331	110	+1	+0	—	—	+1	0.2
2025	25	AA MLE	Richmond Flying Squirrels	—	83	76	22	2	1	1	4	18	1	0	0	289	333	382	715	92	344	22	5	293	84	-2	+0	—	—	+2	0.0
2025	25	A+ MLE	Eugene Emeralds	—	204	181	42	14	1	1	16	39	4	2	1	232	308	337	645	105	277	19	8	276	73	-7	+0	—	—	+4	-0.2
2025	25	ROK MLE	ACL Giants	—	30	28	7	1	0	1	2	7	0	0	1	250	300	393	693	143	268	23	7	266	66	-1	-0	—	—	+1	-0.1
2025	25	A+ MLE	5 teams	—	484	433	109	25	4	3	31	93	9	3	4	252	315	349	664	97	311	19	6	286	80	—	—	—	—	—	—
2025	25	A+ RAW	5 teams	—	484	420	126	28	3	7	44	71	9	3	4	300	378	431	809	131	344	15	9	356	80	—	—	—	—	—	—
2025	25	A+ MLE	5 teams	—	484	441	109	25	4	3	31	93	9	3	4	247	315	342	657	95	300	19	6	286	80	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	25	A+ MLE	5 teams	—	484	441	109	25	4	3	31	93	9	3	4	247	315	342	657	95	300	19	6	286	80	—	—	—	—	—	—
YTD	26	AA MLE	SF	—	417	382	94	18	3	2	19	62	8	10	6	246	296	325	620	79	287	15	5	272	70	-15	-0	+0	+0	+9	-0.6
▸ 2026 season
YTD	26	ROK RAW	SF	—	27	24	3	1	0	0	2	4	1	2	0	125	222	167	389	42	150	15	7	193	70	—	—	—	—	—	—
YTD	26	AA RAW	SF	—	303	274	76	14	3	2	21	37	4	6	4	277	338	372	710	95	314	12	7	317	70	—	—	—	—	—	—
YTD	26	AAA RAW	SF	—	87	75	21	5	0	1	5	9	3	2	2	280	349	387	736	107	299	10	6	319	70	—	—	—	—	—	—
ROS	26	AA MLE	SF	2%	9	9	1	0	0	0	0	2	0	0	0	111	111	111	222		289	22	0	282	77	-0	+0	+0	+0	+0	-0.0
TOT	26	AA MLE	SF	—	426	391	95	18	3	2	19	64	8	10	6	243	292	320	612	77	284	15	4	272	70	-15	-0	+0	+0	+9	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	27	MLB MLE	SF	27%	336	309	75	15	2	3	19	58	5	5	3	243	297	333	631	91	289	17	6	286	80	-8	-0	+0	+0	+7	-0.1
2028	28	MLB MLE	SF	40%	364	333	81	16	2	4	22	65	6	5	3	243	302	339	641	96	289	18	6	288	81	-8	-0	-1	+0	+8	-0.1
2029	29	MLB MLE	SF	45%	373	341	82	16	2	4	23	68	6	4	3	240	300	334	634	94	288	18	6	288	81	-8	-0	-1	+0	+8	-0.2
2030	30	MLB MLE	SF	48%	378	345	82	16	2	4	24	70	6	4	3	238	299	330	629	93	288	19	6	286	80	-9	-0	-2	+0	+8	-0.3
2027	27	MLB CTX	SF	27%	90	84	21	4	1	1	5	16	1	1	1	250	300	357	657	107	284	18	6	270	80	-2	-0	+0	+0	+2	-0.0
2028	28	MLB CTX	SF	40%	145	133	31	6	1	1	9	26	2	2	1	233	292	316	607	83	284	18	6	272	81	-3	+0	-0	+0	+3	-0.0
2029	29	MLB CTX	SF	45%	167	152	36	7	1	2	10	31	3	2	1	237	297	336	632	99	283	19	6	272	81	-4	+0	-1	+0	+4	-0.1
2030	30	MLB CTX	SF	48%	180	164	39	8	1	2	11	34	3	2	1	238	298	335	633	98	282	19	6	270	80	-4	+0	-1	+0	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	582	533	127	25	4	6	35	107	9	7	4	238	296	334	630	96	286	18	6	271	80	-13	-0	-2	+0	+13	-0.3
/ 162G	—	A+C		—	650	595	142	28	4	7	39	120	10	8	4	239	296	334	631	96	287	18	6	271	80	-15	-0	-2	+0	+14	-0.3
Career	—	MLE		—	1944	1770	430	88	12	18	119	356	32	21	16	243	302	337	639	94	293	18	6	287	80	-34	-1	-4	+0	+32	-0.8
/ 162G	—	MLE		—	650	592	143	29	4	6	40	119	11	7	5	242	302	334	637	93	291	18	6	287	80	-15	-1	-2	+0	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Leury Garcíalast yr '22 career totals — 9 seasons, 2,387 PA	3.6	2,387	34	63	253	293	351	+5	+10	3.1	4.3
/162	664	9	18	+1.4	+2.7	0.9	pk7: 6
#2Dustin 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
#3Guillermo 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
#4Jason 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
#5Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.9	587	6	7	243	298	338	+0	+0	0.2	0.2
/162	664	7	8	+0.0	+0.0	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
Dayson Croes (OGILVIE)	26	55	35	45	50	241/294/324	83	289	1	4	17%	5%	77	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ryan Lollis 2013 · AAA	26	54→61	40	44→45	47	258/305/358	99	312	6	7	19%	6%	87	+0.4	248/296/344	96	288	7	7	16%	6%	81	-0.1	253/302/344	91	289	7	7	14%	6%	81	-0.1
✕Josh Fellhauer 2014 · AAA	26	54→53	38→40	42→45	49	252/314/334	82	319	5	7	22%	8%	86	+0.3	233/298/313	80	314	4	9	25%	8%	76	-0.4	230/299/300	70	314	2	8	25%	8%	70	-0.4
✕Manuel Lopez 2013 · AAA	26	53	37→40	43→45	42	249/292/326	77	314	4	5	21%	5%	75	-0.5	234/282/315	81	313	4	7	25%	6%	69	-0.9	234/283/294	60	318	0	4	25%	6%	63	-0.4
✕Sergio Perez 2016 · AAA	26	56	38→40	45→50	45	266/314/350	84	326	5	8	20%	6%	89	+0.5	248/295/322	74	305	4	8	19%	6%	76	-0.4	259/295/328	69	315	4	6	18%	4%	76	-0.2
✕James Cooper 2009 · AA	25	53→57	38→40	46→45	46	248/312/331	82	295	4	9	17%	6%	84	+0.2	234/298/316	82	273	4	8	15%	6%	76	-0.4	228/293/300	72	258	2	3	11%	5%	67	-0.5
✕Shawn Pleffner 2016 · AA	26	53→55	37→40	45	46	249/297/328	80	310	4	6	21%	6%	78	-0.3	234/285/316	82	297	5	5	22%	6%	70	-0.8	230/282/299	69	294	3	1	21%	6%	63	-0.8
✕Jamie Johnson 2013 · AAA	26	52→55	36→40	46→50	54	244/312/315	71	289	3	11	16%	9%	80	-0.1	240/316/316	76	282	4	15	15%	10%	83	+0.1	239/324/312	73	281	3	16	15%	11%	84	+0.1
✕Darius Hill 2023 · AAA	25	55→58	41→40	45	43	264/299/365	101	313	8	7	18%	4%	86	+0.3	237/283/327	90	296	5	6	20%	6%	72	-0.7	221/273/301	80	283	3	4	22%	6%	60	-0.9
✕James Rapoport 2011 · AAA	26	52→54	37→40	49→55	50	243/301/317	73	289	4	11	17%	7%	76	-0.4	229/300/297	68	267	5	9	15%	8%	72	-0.7	216/300/254	37	247	3	7	13%	9%	60	-1.3
✕Scott Tousa 2006 · AA	26	51→53	38→30	44→45	48	242/317/319	77	301	6	8	20%	7%	84	+0.2	220/288/295	75	285	6	8	23%	7%	68	-1.0	165/232/179	15	222	0	3	24%	6%	20	-1.0
✕Alec Keller 2019 · AA	27	56→55	38→40	48→50	43	267/305/354	86	327	5	8	20%	5%	86	+0.3	255/298/338	83	312	6	11	19%	5%	80	-0.1	255/292/318	63	317	3	12	20%	4%	70	-0.6
✕Marcus Lemon 2014 · AA	26	51→53	38→40	48→45	44	238/284/324	86	298	3	8	21%	6%	72	-0.7	220/266/303	83	287	5	5	24%	5%	61	-1.5	214/260/287	73	280	4	3	24%	5%	52	-1.0
✕Leonardo Reginatto 2016 · AAA	26	54→62	36→30	43→45	47	255/303/323	68	302	3	7	16%	6%	78	-0.3	237/279/302	65	297	4	6	20%	5%	65	-1.2	233/274/288	55	297	3	5	22%	5%	58	-1.0
✕Alan Sanchez 2015 · AAA	26	55→59	38→40	48→50	43	263/300/343	80	326	5	12	21%	5%	82	-0.0	257/295/333	76	318	4	12	19%	5%	78	-0.3	266/302/333	67	323	3	12	18%	4%	77	-0.2
✕Sean Burroughs 2007 · MLB	26	52→62	37→40	44→45	49	246/304/316	70	286	5	7	16%	6%	78	-0.3	223/290/316	93	279	9	9	22%	7%	74	-0.6	249/289/327	78	284	3	4	13%	5%	71	-0.3
✕Carlos Penuelas 2014 · AAA	26	52	39→30	41→50	46	249/300/339	91	310	6	8	21%	7%	82	-0.0	248/295/318	70	304	5	12	19%	5%	74	-0.5	253/295/301	48	307	3	12	18%	5%	68	-0.4
✕Forrestt Allday 2017 · AAA	26	49→48	36→30	43→50	49	229/302/292	63	294	3	11	22%	8%	72	-0.7	235/311/295	60	291	3	12	19%	8%	76	-0.4	236/316/285	50	292	3	12	18%	8%	74	-0.4
✕Josh Horton 2012 · AAA	26	51→56	39→45	47→45	49	244/294/328	85	277	6	7	15%	6%	77	-0.3	238/280/342	104	309	8	6	24%	5%	75	-0.5	243/281/348	105	320	7	4	26%	5%	74	-0.4
✕Buck Britton 2012 · AAA	26	52→54	41→45	45	43	247/287/351	104	290	7	7	18%	4%	80	-0.2	250/291/365	115	288	10	6	16%	5%	84	+0.2	252/293/369	117	284	11	4	15%	5%	83	+0.1
✕James Beresford 2015 · AAA	26	54→63	35→30	47→45	45	255/291/314	59	303	2	8	16%	5%	72	-0.7	264/300/318	54	316	2	5	16%	5%	76	-0.4	276/312/316	39	329	0	2	15%	5%	76	-0.4

Career Stats + Projections

Career Comps

Career Path Comps