Cole Mathis — OGILVIE

Cole Mathis1B Brooklyn Cyclones

Age 23 R/R 6'2" / 210 lbs A+ H -5% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION232 act + 23 ros · stats below = ROS only

showingROS

wRC+†89

AVG/OBP/SLG.238 / .304 / .429

PA23

HR0

K%30

BB%9

BABIP267

ISO190

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$7M ctrl surplus

Tools · ContractCON 48 / POW 49

Toolsscout grade

CONTACT48

scouting grade only

POWER49

scouting grade only

EYE51

scouting grade only

SPEED41

scouting grade only

DEFENSE47

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Arb-1	$3M	—	—	—
2032	Arb-2	$0.4M	—	—	—
2033	Arb-3	$0.6M	—	—	—
Totals		$0.0M		$-3M	+$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	Myrtle Beach Pelicans	—	128	107	23	9	1	3	17	29	3	0	2	215	339	402	740	187	263	23	13	332	111	+2	-1	—	—	+3	0.4
2025	22	INTL	Mesa Solar Sox	—	66	50	14	0	0	2	15	16	0	3	0	280	446	400	846	120	364	24	23	386	147	+4	+1	—	—	+1	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Myrtle Beach Pelicans	—	128	114	19	7	1	3	10	43	3	0	2	167	252	325	577	158	223	34	8	243	51	-8	-1	—	—	+3	-0.6
2025	22	A MLE	2 teams	—	194	174	28	10	1	4	15	65	3	3	2	161	240	299	538	138	224	34	8	243	51	—	—	—	—	—	—
2025	22	A RAW	2 teams	—	194	157	37	9	1	5	32	45	3	3	2	236	375	401	776	166	294	23	16	351	51	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	194	174	28	10	1	4	15	65	3	3	2	161	240	299	538	138	223	34	8	243	51	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	A MLE	2 teams	—	194	174	28	10	1	4	15	65	3	3	2	161	240	299	538	138	223	34	8	243	51	—	—	—	—	—	—
YTD	23	A+ MLE	NYM	—	232	198	37	10	2	8	25	77	5	8	2	187	294	379	673	192	248	33	11	294	85	-4	+1	+0	-4	+5	-0.2
▸ 2026 season
YTD	23	A RAW	NYM	—	86	67	18	3	0	7	13	20	4	3	0	269	417	627	1.044	358	262	23	15	438	85	—	—	—	—	—	—
YTD	23	A+ RAW	NYM	—	146	120	27	10	2	3	23	36	1	5	2	225	354	417	771	192	289	25	16	342	85	—	—	—	—	—	—
ROS	23	A+ MLE	NYM	0%	23	21	5	1	0	1	2	7	0	1	0	238	304	429	733	190	274	30	9	300	89	-0	+0	-0	-0	+0	-0.0
TOT	23	A+ MLE	NYM	—	255	219	42	11	2	9	27	84	5	9	2	192	295	384	678	192	254	33	11	295	85	-4	+1	-0	-5	+6	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	NYM	38%	255	226	50	11	2	8	23	71	4	4	1	221	304	394	698	173	275	28	9	303	91	-3	+0	-0	-5	+6	-0.2
2028	25	MLB MLE	NYM	55%	330	292	64	14	2	10	30	91	5	5	1	219	303	384	686	164	277	28	9	306	93	-3	+1	-0	-6	+7	-0.1
2029	26	MLB MLE	NYM	64%	379	336	74	16	2	12	35	103	5	6	2	220	303	387	690	167	277	27	9	307	94	-3	+0	-1	-7	+8	-0.1
2030	27	MLB MLE	NYM	66%	402	356	78	17	2	12	37	109	6	6	2	219	303	379	682	160	277	27	9	308	94	-3	+0	-1	-7	+9	-0.1
2031	28	MLB MLE	NYM	67%	413	365	80	17	2	13	39	113	6	6	2	219	305	384	688	164	277	27	9	307	94	-3	+0	-1	-7	+9	-0.2
2032	29	MLB MLE	NYM	66%	413	365	79	17	2	12	39	114	6	6	2	216	302	373	675	156	276	28	9	305	92	-4	+0	-2	-7	+9	-0.4
2033	30	MLB MLE	NYM	65%	410	362	77	16	2	12	39	114	6	5	2	213	300	367	667	155	274	28	10	302	90	-5	+0	-3	-7	+9	-0.6
2034	31	MLB MLE	NYM	65%	399	353	75	16	2	12	38	112	5	5	1	212	298	371	669	159	271	28	10	297	87	-6	+1	-3	-7	+9	-0.7
2035	32	MLB MLE	NYM	65%	383	339	71	15	2	11	36	109	5	5	1	209	295	363	658	153	268	28	9	292	84	-7	+1	-4	-7	+8	-1.0
2027	24	MLB CTX	NYM	38%	97	87	19	4	1	3	9	27	1	2	0	218	299	391	690	172	268	28	9	288	91	-1	+0	-0	-2	+2	-0.0
2028	25	MLB CTX	NYM	55%	183	161	35	7	1	6	17	50	3	3	1	217	304	385	689	168	269	27	9	291	93	-2	+0	-0	-3	+4	-0.1
2029	26	MLB CTX	NYM	64%	241	214	45	10	1	7	22	66	3	4	1	210	293	364	657	154	270	27	9	292	94	-2	+0	-0	-4	+5	-0.1
2030	27	MLB CTX	NYM	66%	264	234	51	11	2	8	24	72	4	4	1	218	302	385	686	167	270	27	9	293	94	-2	+0	-0	-5	+6	-0.1
2031	28	MLB CTX	NYM	67%	276	244	52	11	2	8	26	75	4	4	1	213	299	373	672	160	269	27	9	292	94	-2	+0	-1	-5	+6	-0.2
2032	29	MLB CTX	NYM	66%	272	240	52	11	2	8	26	75	4	4	1	217	304	379	683	162	268	28	10	290	92	-3	+0	-1	-5	+6	-0.2
2033	30	MLB CTX	NYM	65%	267	236	49	10	1	8	25	74	4	3	1	208	294	360	655	153	267	28	9	287	90	-3	+0	-2	-5	+6	-0.4
2034	31	MLB CTX	NYM	65%	258	229	47	10	1	7	24	72	3	3	1	205	289	349	638	144	264	28	9	283	87	-4	+0	-2	-5	+6	-0.5
2035	32	MLB CTX	NYM	65%	247	219	44	9	1	7	23	70	3	3	1	201	286	347	633	146	260	28	9	278	84	-5	+0	-3	-4	+5	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2105	1864	394	83	12	62	196	581	29	30	8	211	296	369	665	157	270	28	9	288	89	-22	+3	-10	-38	+46	-2.2
/ 162G	—	A+C		—	650	576	122	26	4	19	61	179	9	9	2	212	297	370	667	158	271	28	9	288	89	-7	+1	-3	-12	+14	-0.7
Career	—	MLE		—	3601	3189	681	150	19	107	333	1008	51	52	16	214	298	373	671	160	274	28	9	300	89	-36	+4	-15	-61	+74	-3.5
/ 162G	—	MLE		—	650	576	122	27	3	19	60	182	9	9	3	212	296	368	664	156	272	28	9	300	89	-7	+1	-3	-12	+14	-0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#2Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#3Gordon 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
#4Ian Stewartlast yr '14 career totals — 6 seasons, 1,646 PA	2.5	1,646	60	17	230	317	416	+6	+2	6.2	6.2
/162	664	24	7	+2.4	+0.9	2.5	pk7: 6
#5Michael 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.2	2,106	63	29	217	298	378	+8	-7	4.4	4.2
/162	664	20	9	+2.4	-2.2	1.4	pk7: 4
#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

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
Cole Mathis (OGILVIE)	23	36→48	40→49	43→41	51	209/294/370	160	274	5	4	29%	9%	89	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Gimenez 2006 · A	23	40→50	46→50	44→45	44	203/285/331	129	259	13	5	26%	7%	77	-0.3	223/302/375	152	278	17	5	25%	7%	93	+0.8	233/315/389	156	289	18	4	25%	8%	98	+0.9
✕Devin Mann 2021 · A	24	44	49→50	44→45	46	222/291/369	146	287	17	7	28%	8%	86	+0.3	215/294/365	150	282	16	5	28%	8%	87	+0.4	210/294/364	154	277	16	4	29%	9%	85	+0.2
✕Tyler Saladino 2012 · A	23	44→47	47→45	45→55	43	218/283/362	143	294	13	7	29%	7%	82	-0.0	219/288/314	95	284	7	20	24%	8%	72	-0.7	253/298/364	112	301	10	25	19%	5%	85	+0.2
✕Kenny Holmberg 2007 · A	24	46→47	48→50	41→40	49	231/300/373	142	280	16	5	23%	8%	91	+0.6	219/301/321	102	275	10	4	23%	9%	80	-0.2	211/302/300	89	264	9	2	22%	10%	74	-0.4
✕C.J. Retherford 2009 · A	23	48→53	49→50	44→50	42	243/287/393	150	287	16	7	22%	5%	90	+0.6	222/262/335	113	268	9	4	20%	4%	67	-1.1	232/274/393	160	250	20	8	17%	4%	83	+0.1
✕Brock Peterson 2007 · A	23	47→51	49→50	41→40	42	236/294/383	148	303	17	4	28%	6%	91	+0.6	239/297/381	142	309	15	3	26%	6%	91	+0.7	239/298/378	139	310	14	1	26%	6%	88	+0.3
✕Jeferson Morales 2022 · A	23	41→48	47→45	48→50	48	209/292/350	141	261	14	9	25%	8%	83	+0.1	204/281/333	129	269	13	9	28%	7%	75	-0.5	221/295/347	125	275	11	8	22%	7%	80	-0.1
✕Adam Rosales 2006 · A	23	47→48	50→55	45	40	236/287/388	152	305	18	6	28%	5%	89	+0.5	226/287/368	142	285	12	8	24%	6%	84	+0.2	235/302/384	149	284	12	8	21%	6%	92	+0.6
●Josh Fields 2006 · AA	23	43→53	45→55	42→50	41	216/280/339	123	296	13	7	31%	7%	76	-0.4	232/296/390	158	320	18	14	31%	8%	93	+0.8	230/297/396	166	316	20	15	32%	8%	93	+0.7
✕John Mayberry Jr. 2007 · A	23	42→48	49→55	49→50	43	216/280/366	151	284	17	7	30%	7%	82	-0.0	206/259/371	165	258	20	9	28%	6%	75	-0.5	239/297/403	165	282	19	7	22%	7%	93	+0.6
✕Travis Jones 2009 · A	23	41→48	48→45	46→50	48	212/289/356	144	267	16	11	27%	9%	83	+0.1	214/284/324	110	289	10	15	28%	8%	74	-0.6	209/281/304	95	284	8	19	28%	8%	66	-0.7
✕Ian Rice 2017 · A	23	43→40	47→50	43→30	48	216/294/353	138	287	15	4	29%	9%	84	+0.2	203/288/334	131	275	15	3	30%	10%	78	-0.3	186/276/303	117	251	14	0	30%	10%	64	-0.7
✕Eddys Leonard 2023 · A	22	44→46	48→50	44→50	42	221/289/365	144	293	15	5	29%	6%	85	+0.2	216/274/354	138	278	15	8	27%	5%	76	-0.4	209/263/347	138	261	16	9	26%	5%	69	-0.7
✕Andrés Chaparro 2022 · A	23	43→49	48→55	43→40	47	217/299/360	143	289	15	5	29%	9%	87	+0.4	226/290/392	166	277	20	5	26%	7%	91	+0.7	235/306/419	184	277	23	3	24%	8%	101	+1.0
✕Yonathan Perlaza 2022 · A	23	45→52	48→55	44→50	41	225/281/367	142	308	16	7	32%	7%	82	-0.0	226/297/395	169	297	18	11	28%	9%	95	+0.9	232/305/402	170	301	17	12	27%	9%	96	+1.0
✕Grant Psomas 2006 · A	23	49→50	50	44→45	48	246/311/407	161	315	17	6	27%	8%	102	+1.5	221/280/361	140	291	14	7	28%	7%	80	-0.1	201/262/336	135	267	13	6	29%	7%	66	-0.7
✕Christian Villanueva 2014 · AA	23	44→46	47→55	43→50	39	221/270/360	139	281	14	9	27%	4%	76	-0.4	207/253/339	132	254	14	4	24%	5%	65	-1.2	223/280/397	174	256	23	3	23%	6%	88	+0.3
✕Tyler Ogle 2014 · A	23	45→43	46→50	39→30	55	222/315/348	126	261	13	5	20%	10%	91	+0.7	219/297/362	143	270	17	3	24%	9%	88	+0.4	208/284/360	152	255	19	0	26%	9%	79	-0.1
✕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
●Jake Meyers 2019 · A	23	47→57	42→55	43→50	45	228/290/341	112	294	8	11	24%	7%	79	-0.2	221/280/347	126	294	12	11	28%	6%	77	-0.3	250/313/409	159	320	19	11	27%	7%	101	+0.9

Career Stats + Projections

Career Comps

Career Path Comps