Felix Cotes

2B Charleston RiverDogs

Age 21 S/R 5'11" / 176 lbs A HR -6%H +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#2402ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKTB	29	.269/.321/.308	0	2	24	—	.222/.250/.259
2025	19	A/ROKTB	239	.251/.397/.289	0	14	55	—	.208/.310/.238
2026	20	A+/A/ROKTB	164	.230/.348/.302	0	14	42	—	.190/.268/.244
2027PROJMLE	21	MLBTB	274	.202/.279/.268	1	6	58	-0.2
2028PROJ34% MLB	22	MLBTB	51	.210/.287/.290	0	1	65	-0.1
2029PROJ48% MLB	23	MLBTB	113	.214/.292/.305	1	2	70	-0.1

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Z-Con%78

Speed78

BB%72

K%68

wRC+65

wOBA61

Career WAR0.0 WAR median (P10 0.0 / P90 0.2, comp-based) · star 2% · didn't stick 94%

CompsJuan Mosquera (age 21) · Jeremy Arocho (age 22) · Candido Pimentel (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 95 proj PA

wRC+†58

AVG/OBP/SLG.200 / .277 / .266

PA95

HR0

K%27

BB%9

ISO67

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 45 / POW 20

Toolsscout grade

CONTACT45

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED55

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	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.7M	+$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)
2023	17	ROK	DSL Tampa Bay	—	71	58	15	4	1	2	13	17	0	4	1	259	394	466	860	207	333	24	18	383	44	—	—	—	—	—	—
2024	18	ROK	FCL Rays	—	29	26	7	1	0	0	2	5	0	2	0	269	321	308	629	38	333	17	7	280	24	—	—	—	—	—	—
2025	19	A	Charleston RiverDogs	—	39	30	7	1	0	0	8	6	0	0	0	233	395	267	661	33	292	15	21	315	68	—	—	—	—	—	—
2025	19	ROK	FCL Rays	—	200	157	40	4	1	0	32	29	5	14	8	255	397	293	690	38	305	14	16	322	52	—	—	—	—	—	—
2026	20	A+	Bowling Green Hot Rods	—	37	34	4	3	0	0	2	13	1	1	1	118	189	206	395	88	190	35	5	186	-29	—	—	—	—	—	—
2026	20	A	Charleston RiverDogs	—	81	69	19	4	1	0	12	17	0	6	4	275	383	362	745	87	365	21	15	343	73	—	—	—	—	—	—
2026	20	ROK	FCL Rays	—	46	36	9	1	0	0	10	8	0	7	1	250	413	278	691	28	321	17	22	337	46	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Tampa Bay	—	71	62	10	2	1	1	9	21	0	4	1	161	268	274	542	113	210	30	13	233	44	—	—	—	—	—	—
2024	18	ROK MLE	FCL Rays	—	29	27	6	1	0	0	1	7	0	2	0	222	250	259	509	37	267	24	3	204	24	—	—	—	—	—	—
2025	19	A MLE	Charleston RiverDogs	—	39	32	7	1	0	0	6	8	0	0	0	219	342	250	592	31	276	21	15	268	68	—	—	—	—	—	—
2025	19	ROK MLE	FCL Rays	—	200	170	35	3	1	0	19	42	5	14	8	206	304	235	539	29	252	21	10	245	52	—	—	—	—	—	—
2026	20	A+ MLE	Bowling Green Hot Rods	—	37	35	3	2	0	0	1	17	1	1	1	86	135	143	278	57	157	46	3	126	-29	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	81	73	17	3	1	0	8	23	0	6	4	233	309	301	610	68	338	28	10	276	73	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	46	40	8	1	0	0	6	12	0	7	1	200	304	225	529	25	256	26	13	236	46	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tampa Bay	—	71	62	10	2	1	1	9	21	0	4	1	161	268	274	542	113	225	30	13	233	44	—	—	—	—	—	—
2023	17	ROK RAW	DSL Tampa Bay	—	71	58	15	4	1	2	13	17	0	4	1	259	394	466	860	207	333	24	18	383	44	—	—	—	—	—	—
2024	18	ROK MLE	FCL Rays	—	29	27	6	1	0	0	1	7	0	2	0	222	250	259	509	37	300	24	3	204	24	—	—	—	—	—	—
2024	18	ROK RAW	FCL Rays	—	29	26	7	1	0	0	2	5	0	2	0	269	321	308	629	38	333	17	7	280	24	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	239	202	42	4	1	0	25	51	5	14	8	208	310	238	548	30	273	21	10	249	55	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	239	187	47	5	1	0	40	35	5	14	8	251	397	289	685	37	303	15	17	321	55	—	—	—	—	—	—
2026	20	A MLE	3 teams	—	164	147	27	6	1	0	16	52	1	14	6	184	268	238	506	54	284	32	10	231	42	—	—	—	—	—	—
2026	20	A RAW	3 teams	—	164	139	32	8	1	0	24	38	1	14	6	230	348	302	650	72	317	23	15	306	42	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tampa Bay	—	71	62	10	2	1	1	9	21	0	4	1	161	268	274	542	113	210	30	13	233	44	—	—	—	—	—	—
2024	18	ROK MLE	FCL Rays	—	29	28	6	1	0	0	1	7	0	2	0	214	250	250	500	36	267	24	3	204	24	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	239	207	42	4	1	0	25	51	5	14	8	203	310	232	542	29	256	21	10	249	55	—	—	—	—	—	—
2026	20	A MLE	3 teams	—	164	146	27	6	1	0	16	52	1	14	6	185	268	240	508	55	274	32	10	231	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	FCL Rays	—	29	28	6	1	0	0	1	7	0	2	0	214	250	250	500	36	267	24	3	204	24	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	239	207	42	4	1	0	25	51	5	14	8	203	310	232	542	29	256	21	10	249	55	—	—	—	—	—	—
2026	20	A MLE	3 teams	—	164	146	27	6	1	0	16	52	1	14	6	185	268	240	508	55	274	32	10	231	42	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	TB	0%	274	245	50	10	2	1	24	75	3	6	2	202	279	268	548	67	282	27	9	254	58	-14	+0	+0	+1	+6	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	TB	34%	149	134	27	5	1	1	13	40	1	3	1	208	285	288	574	81	283	27	9	264	65	-6	+0	+0	+1	+3	-0.2
2029	23	MLB MLE	TB	48%	233	208	44	8	1	3	21	61	2	5	2	212	290	304	594	92	285	26	9	272	70	-8	+0	+0	+1	+5	-0.2
2030	24	MLB MLE	TB	53%	315	281	61	12	2	4	28	82	3	7	2	216	294	316	609	100	286	26	9	278	74	-10	+1	+0	+1	+7	-0.1
2031	25	MLB MLE	TB	55%	365	326	71	13	2	6	32	94	4	8	3	218	296	324	620	106	286	26	9	282	77	-10	+0	+0	+1	+8	-0.0
2032	26	MLB MLE	TB	56%	393	351	78	15	2	7	35	101	4	8	3	220	297	330	628	110	286	26	9	285	79	-10	+0	+0	+1	+9	0.0
2033	27	MLB MLE	TB	55%	406	363	80	15	2	7	36	105	4	9	3	219	296	328	624	109	286	26	9	283	78	-11	+1	+0	+1	+9	0.0
2034	28	MLB MLE	TB	55%	407	364	79	15	2	6	36	106	4	8	3	217	294	323	617	106	285	26	9	280	76	-12	+0	-1	+1	+9	-0.2
2035	29	MLB MLE	TB	53%	399	357	76	14	2	6	35	105	4	7	3	215	291	316	608	102	283	26	9	277	73	-13	+0	-1	+1	+9	-0.4
2028	22	MLB CTX	TB	34%	51	47	9	2	0	0	4	14	0	1	0	210	287	290	577	80	287	27	8	265	65	-2	+0	+0	+0	+1	-0.1
2029	23	MLB CTX	TB	48%	113	101	22	4	1	1	10	30	1	2	1	214	292	305	597	90	288	27	9	273	70	-4	+0	+0	+0	+2	-0.1
2030	24	MLB CTX	TB	53%	166	148	32	6	1	2	15	43	2	4	1	218	295	317	612	98	289	26	9	279	74	-5	+0	+0	+1	+4	-0.1
2031	25	MLB CTX	TB	55%	200	178	39	7	1	3	18	52	2	4	1	221	298	325	623	104	290	26	9	283	77	-6	+0	+0	+1	+4	-0.0
2032	26	MLB CTX	TB	56%	219	196	44	8	1	4	19	56	2	5	2	222	299	331	630	108	290	26	9	286	79	-6	+0	+0	+1	+5	0.0
2033	27	MLB CTX	TB	55%	223	199	44	8	1	4	20	58	2	5	2	221	298	328	626	107	289	26	9	284	78	-6	+0	+0	+1	+5	-0.0
2034	28	MLB CTX	TB	55%	222	198	43	8	1	3	20	58	2	4	2	219	296	323	619	104	288	26	9	281	76	-6	+0	-0	+1	+5	-0.1
2035	29	MLB CTX	TB	53%	213	190	42	8	1	3	19	56	2	4	2	217	293	317	610	100	287	26	9	278	73	-7	+0	-1	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1407	1257	275	51	7	20	125	367	13	29	11	219	296	318	614	99	291	26	9	281	70	-41	+1	-1	+5	+30	-0.6
/ 162G	—	A+C		—	650	581	127	24	3	9	58	170	6	13	5	219	296	317	613	98	291	26	9	281	70	-19	+1	-1	+2	+14	-0.3
Career	—	MLE		—	3265	2908	618	113	18	41	295	851	33	91	36	213	292	306	598	94	284	26	9	272	70	-84	+3	-2	+10	+60	-1.4
/ 162G	—	MLE		—	650	579	123	22	4	8	59	169	7	18	7	212	293	306	599	93	284	26	9	272	70	-20	+1	-0	+2	+14	-0.3

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 ACharleston RiverDogs · 81 PAwOBA .335 → .276 (−60)K% 21.0% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.99%	÷1.000	×1.360	—	—	28.54%
BB% (unintentional) /PA	14.81%	÷1.000	×0.690	—	×1.015	10.38%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	26.92%	÷1.000	×0.920	×1.013	×1.015	25.46%
Doubles /BIP	7.69%	÷1.000	×0.830	×1.013	×1.015	6.56%
Triples /BIP	1.92%	÷1.000	×0.910	×1.013	×1.015	1.80%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.015	0.00%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .335 → .276; ISO .087 → .073; BABIP .365 → .338. 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 ROKFCL Rays · 46 PAwOBA .330 → .236 (−94)K% 17.4% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.39%	÷1.000	×1.440	—	—	25.04%
BB% (unintentional) /PA	21.74%	÷1.000	×0.620	—	×0.985	13.28%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	28.57%	÷1.000	×0.820	—	×0.985	23.08%
Doubles /BIP	3.57%	÷1.000	×0.720	—	×0.985	2.53%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.985	0.00%

Factors used: level-wide ROK 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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .330 → .236; ISO .028 → .020; BABIP .321 → .256. 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+Bowling Green Hot Rods · 37 PAwOBA .182 → .126 (−56)K% 35.1% → 46.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.14%	÷1.000	×1.310	—	—	46.03%
BB% (unintentional) /PA	5.41%	÷1.000	×0.600	—	×1.027	3.33%
HBP% /PA	2.70%	—	×0.770	—	×1.027	2.14%
Singles /BIP	4.76%	÷1.000	×0.870	—	×1.027	4.25%
Doubles /BIP	14.29%	÷1.000	×0.780	—	×1.027	11.44%
Triples /BIP	0.00%	÷1.000	×0.850	—	×1.027	0.00%
Home runs /BIP	0.00%	÷1.000	×0.880	—	×1.027	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .182 → .126; ISO .088 → .060; BABIP .190 → .157. 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 ROKFCL Rays · 200 PAwOBA .318 → .245 (−73)K% 14.5% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.50%	÷0.985	×1.440	—	—	21.20%
BB% (unintentional) /PA	15.50%	÷0.991	×0.620	—	×0.995	9.65%
HBP% /PA	2.50%	—	×0.720	—	×0.995	1.79%
Singles /BIP	27.34%	÷1.018	×0.820	×1.050	×0.995	23.00%
Doubles /BIP	3.12%	÷1.026	×0.720	×1.050	×0.995	2.29%
Triples /BIP	0.78%	÷1.150	×0.720	×1.050	×0.995	0.51%
Home runs /BIP	0.00%	÷0.809	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 62, 1B 104, 2B 105, 3B 130, K 97, BB 98 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .318 → .245; ISO .038 → .028; BABIP .305 → .252. 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 ACharleston RiverDogs · 39 PAwOBA .309 → .268 (−41)K% 15.4% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷1.006	×1.360	—	—	20.81%
BB% (unintentional) /PA	20.51%	÷0.985	×0.690	—	×1.030	14.81%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	25.00%	÷1.013	×0.920	—	×1.030	23.39%
Doubles /BIP	4.17%	÷0.850	×0.830	—	×1.030	4.19%
Triples /BIP	0.00%	÷1.121	×0.910	—	×1.030	0.00%
Home runs /BIP	0.00%	÷1.159	×0.800	—	×1.030	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 103, 2B 70, 3B 124, K 101, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average).

Result: wOBA .309 → .268; ISO .033 → .035; BABIP .292 → .276. 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).

2024 ROKFCL Rays · 29 PAwOBA .273 → .204 (−68)K% 17.2% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.24%	÷0.980	×1.440	—	—	25.35%
BB% (unintentional) /PA	6.90%	÷1.024	×0.620	—	×1.008	4.21%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	28.57%	÷1.024	×0.820	—	×1.008	23.05%
Doubles /BIP	4.76%	÷0.941	×0.720	—	×1.008	3.67%
Triples /BIP	0.00%	÷1.150	×0.720	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.002	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 105, 2B 88, 3B 130, K 96, BB 105 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .273 → .204; ISO .038 → .029; BABIP .333 → .267. 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).

2023 DSLDSL Tampa Bay · 71 PAwOBA .374 → .233 (−141)K% 23.9% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.94%	÷0.999	×1.220	—	—	29.24%
BB% (unintentional) /PA	18.31%	÷1.025	×0.700	—	×1.008	12.60%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	19.51%	÷0.963	×0.680	—	×1.008	13.88%
Doubles /BIP	9.76%	÷1.106	×0.600	—	×1.008	5.33%
Triples /BIP	2.44%	÷1.061	×0.600	—	×1.008	1.39%
Home runs /BIP	4.88%	÷1.121	×0.470	—	×1.008	2.06%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 93, 2B 121, 3B 112, K 100, BB 105 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .374 → .233; ISO .207 → .102; BABIP .333 → .210. 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
#1Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#2Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.3	1,502	22	31	217	291	319	+5	+5	0.3	0.4
/162	664	10	14	+2.4	+2.2	0.1	pk7: 1
#3Doug Strange'89-'98 * career totals — 8 seasons, 2,067 PA	3.1	2,067	31	14	225*	286*	340*	+5	-0	-1.5	0.0
/162	664	10	4	+1.6	-0.1	-0.5	pk7: 1
#4Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#5Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1
#6Vic Harris'72-'80 * career totals — 8 seasons, 1,805 PA	2.7	1,805	13	36	215*	286*	325*	+4	-7	-1.9	-1.1
/162	664	5	13	+1.5	-2.7	-0.7	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
Felix Cotes (OGILVIE)	21	45	20	55	60	200/277/266	66	282	0	2	27%	9%	58	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Mosquera 2009 · A	21	41	33→30	46→55	54	187/287/229	41	257	1	14	25%	11%	54	-2.0	199/263/256	57	258	2	9	22%	7%	49	-2.4	181/239/208	28	219	0	9	16%	7%	26	-1.0
✕Jeremy Arocho 2021 · A	22	48→44	36→30	48→60	47	224/284/295	71	288	3	10	22%	7%	65	-1.2	228/321/282	54	318	2	26	25%	12%	78	-0.3	221/328/267	46	302	1	34	24%	13%	75	-0.3
✕Candido Pimentel 2011 · A	21	44	35→30	52→55	50	205/278/263	57	279	2	17	25%	9%	57	-1.8	221/276/273	52	310	2	15	27%	7%	57	-1.8	234/284/275	41	327	1	17	27%	6%	57	-0.7
✕Yonathan Mendoza 2015 · A	21	46	35→30	46→45	50	216/280/274	58	267	2	8	19%	8%	59	-1.6	244/296/307	63	293	3	6	17%	7%	72	-0.7	255/305/308	53	303	3	5	16%	6%	75	-0.3
✕Noah Miller 2024 · A	21	40→47	38→40	51→50	47	191/267/270	79	268	5	11	29%	9%	55	-2.0	217/269/299	82	278	6	6	23%	7%	61	-1.5	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Pedro Ruiz 2013 · A	21	47	35→30	51→50	49	214/295/274	61	312	2	14	29%	10%	66	-1.1	196/267/259	63	308	3	7	34%	8%	52	-2.2	164/245/212	48	259	3	2	35%	9%	31	-1.7
✕Willmer De La Cruz 2024 · A	21	42	36→30	50→55	46	191/277/255	64	298	3	15	34%	10%	55	-1.9	197/272/263	66	330	3	13	37%	9%	55	-2.0	162/255/195	33	292	0	21	40%	10%	30	-0.8
✕Louis Ott 2007 · A	22	44→48	36→30	52→45	40	203/263/271	68	301	3	10	32%	6%	53	-2.1	225/294/293	68	316	4	6	28%	8%	70	-0.9	229/306/286	56	325	4	5	28%	9%	70	-0.4
✕Frainyer Chavez 2021 · A	22	44→47	36→40	50	44	210/266/274	64	282	3	15	26%	7%	54	-2.0	207/274/272	65	290	4	11	28%	8%	57	-1.8	223/291/306	84	291	8	18	25%	8%	69	-0.7
✕Riley Unroe 2017 · A	21	42→47	36→45	46→55	44	199/262/261	62	279	4	12	29%	7%	50	-2.3	203/271/281	78	291	6	12	30%	8%	58	-1.7	218/301/329	112	292	11	26	27%	10%	78	-0.1
✕Alfredo Angarita 2018 · A	21	40	35→30	51→55	51	186/269/244	58	251	2	16	25%	10%	49	-2.4	199/263/254	55	285	2	10	28%	7%	49	-2.4	192/256/235	43	276	1	9	28%	7%	39	-1.4
✕Darwin Perez 2010 · A	21	48→53	37→40	50	46	223/287/299	75	315	3	9	28%	8%	68	-1.0	230/290/304	74	316	4	14	26%	7%	70	-0.8	225/287/297	72	304	5	16	26%	7%	65	-1.0
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	54	197/295/255	58	274	3	8	26%	11%	63	-1.4	211/273/274	63	328	3	8	33%	7%	57	-1.8	202/264/238	35	318	0	8	34%	8%	43	-0.6
✕Deivi Estrada 2022 · A	21	43	36→30	46→50	47	200/276/265	66	284	3	8	29%	9%	57	-1.8	184/240/252	68	328	3	8	42%	6%	40	-3.1	144/185/202	58	313	3	4	52%	4%	4	-1.2
✕Rafael P Valera 2016 · A	21	47	34→30	47→55	49	217/292/275	57	291	1	10	24%	8%	65	-1.2	209/275/290	81	313	3	5	31%	7%	61	-1.5	185/256/275	90	288	2	1	33%	7%	48	-0.6
✕Cole Tucker 2017 · A	21	49→51	37→45	49→55	43	229/274/303	74	302	4	13	25%	6%	63	-1.4	230/288/329	99	306	6	23	25%	7%	75	-0.5	230/292/338	108	300	7	25	24%	7%	77	-0.3
✕Carlos Garcia 2013 · A	21	45→50	35→40	50→55	47	210/267/270	61	257	3	16	19%	7%	53	-2.1	237/284/307	70	299	4	20	21%	5%	68	-1.0	244/292/314	69	308	3	28	21%	5%	69	-0.5
✕Arquímedes Gamboa 2019 · A	21	43→44	37→40	48→50	45	203/266/276	74	281	5	7	28%	8%	55	-1.9	190/267/267	77	281	5	14	31%	9%	54	-2.0	202/287/292	90	293	7	15	31%	10%	64	-0.7
✕Angel Franco 2011 · A	21	47→50	36→40	48→50	45	222/269/287	65	276	3	12	21%	6%	57	-1.8	236/278/322	86	275	6	7	16%	5%	69	-0.9	245/284/333	88	284	6	8	15%	5%	70	-0.5
✕Joseph Rosa 2018 · A	21	46→45	37→40	52→50	46	216/268/293	77	264	4	16	19%	6%	59	-1.7	200/263/272	72	289	5	10	30%	7%	53	-2.1	206/281/301	95	299	7	14	31%	8%	65	-0.8

Felix Cotes

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps