Byron Chourio

CF Fort Myers Mighty Mussels

Age 22 S/R 6'2" / 171 lbs A Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	AMIN	366	.207/.276/.277	2	23	16	—	.158/.214/.215
2025	20	AMIN	241	.193/.340/.234	1	11	31	—	.152/.261/.186
2026	21	A+/AMIN	329	.290/.403/.457	10	34	93	—	.238/.329/.367
2027PROJMLE	22	MLBMIN	439	.181/.269/.267	6	18	55	-0.4
2028PROJ34% MLB	23	MLBMIN	87	.188/.276/.285	2	4	61	-0.1
2029PROJ46% MLB	24	MLBMIN	154	.193/.281/.298	3	6	66	-0.2

Next 3 projected WAR -0.7Projected 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+

wOBA91

wRC+91

Speed87

BB%77

ISO71

Z-Con%71

Career WAR0.0 WAR median (P10 -0.1 / P90 3.4, comp-based) · star 3% · didn't stick 86%

CompsHayden Cantrelle (age 23) · Terry Serrano (age 22) · Robert Moore (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†55

AVG/OBP/SLG.179 / .267 / .264

PA210

HR3

SB8

K%29

BB%10

ISO86

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 30 / POW 20

Toolsscout grade

CONTACT30

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED50

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	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$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)
2022	17	ROK	DSL Marlins	—	217	183	63	9	0	1	25	27	5	19	7	344	437	410	846	66	390	12	12	381	63	—	—	—	—	—	—
2023	18	ROK	FCL Twins	—	106	84	22	3	0	0	20	19	2	4	2	262	415	298	713	36	338	18	19	344	59	—	—	—	—	—	—
2024	19	A	Fort Myers Mighty Mussels	—	366	328	68	7	5	2	29	104	2	23	5	207	276	277	553	70	289	28	8	251	16	—	—	—	—	—	—
2025	20	A	Fort Myers Mighty Mussels	—	241	197	38	3	1	1	41	50	3	11	5	193	340	234	574	41	253	21	17	283	31	—	—	—	—	—	—
2026	21	A+	Cedar Rapids Kernels	—	94	76	23	4	1	3	14	20	2	12	0	303	424	500	924	197	370	21	15	402	114	—	—	—	—	—	—
2026	21	A	Fort Myers Mighty Mussels	—	235	193	55	7	1	7	33	55	4	22	4	285	395	440	835	155	364	23	14	372	84	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Marlins	—	217	190	43	6	0	0	18	32	5	19	7	226	310	258	568	32	256	15	8	262	63	—	—	—	—	—	—
2023	18	ROK MLE	FCL Twins	—	106	91	18	2	0	0	13	27	2	4	2	198	311	220	531	22	284	25	12	256	59	—	—	—	—	—	—
2024	19	A MLE	Fort Myers Mighty Mussels	—	366	335	53	5	4	2	22	142	2	23	5	158	214	215	429	57	251	39	6	192	16	—	—	—	—	—	—
2025	20	A MLE	Fort Myers Mighty Mussels	—	241	210	32	2	1	1	28	68	3	11	5	152	261	186	447	33	222	28	12	214	31	—	—	—	—	—	—
2026	21	A+ MLE	Cedar Rapids Kernels	—	94	80	20	3	1	2	10	25	2	12	0	250	348	388	735	138	334	27	11	337	114	—	—	—	—	—	—
2026	21	A MLE	Fort Myers Mighty Mussels	—	235	206	48	6	1	6	23	75	4	22	4	233	322	359	681	126	321	32	10	293	84	—	—	—	—	—	—
2022	17	ROK MLE	DSL Marlins	—	217	190	43	6	0	0	18	32	5	19	7	226	310	258	568	32	265	15	8	262	63	—	—	—	—	—	—
2022	17	ROK RAW	DSL Marlins	—	217	183	63	9	0	1	25	27	5	19	7	344	437	410	846	66	390	12	12	381	63	—	—	—	—	—	—
2023	18	ROK MLE	FCL Twins	—	106	91	18	2	0	0	13	27	2	4	2	198	311	220	531	22	281	25	12	256	59	—	—	—	—	—	—
2023	18	ROK RAW	FCL Twins	—	106	84	22	3	0	0	20	19	2	4	2	262	415	298	713	36	338	18	19	344	59	—	—	—	—	—	—
2024	19	A MLE	Fort Myers Mighty Mussels	—	366	335	53	5	4	2	22	142	2	23	5	158	214	215	429	57	259	39	6	192	16	—	—	—	—	—	—
2024	19	A RAW	Fort Myers Mighty Mussels	—	366	328	68	7	5	2	29	104	2	23	5	207	276	277	553	70	289	28	8	251	16	—	—	—	—	—	—
2025	20	A MLE	Fort Myers Mighty Mussels	—	241	210	32	2	1	1	28	68	3	11	5	152	261	186	447	33	220	28	12	214	31	—	—	—	—	—	—
2025	20	A RAW	Fort Myers Mighty Mussels	—	241	197	38	3	1	1	41	50	3	11	5	193	340	234	574	41	253	21	17	283	31	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	329	286	68	9	2	8	33	100	6	34	4	238	329	367	696	129	333	30	10	306	93	—	—	—	—	—	—
2026	21	A RAW	2 teams	—	329	269	78	11	2	10	47	75	6	34	4	290	403	457	860	167	366	23	14	380	93	—	—	—	—	—	—
2022	17	ROK MLE	DSL Marlins	—	217	192	43	6	0	0	18	32	5	19	7	224	310	255	565	31	256	15	8	262	63	—	—	—	—	—	—
2023	18	ROK MLE	FCL Twins	—	106	90	18	2	0	0	13	27	2	4	2	200	311	222	534	22	284	25	12	256	59	—	—	—	—	—	—
2024	19	A MLE	Fort Myers Mighty Mussels	—	366	339	53	5	4	2	22	142	2	23	5	156	214	212	427	56	251	39	6	192	16	—	—	—	—	—	—
2025	20	A MLE	Fort Myers Mighty Mussels	—	241	208	32	2	1	1	28	68	3	11	5	154	261	188	449	34	222	28	12	214	31	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	329	287	68	9	2	8	33	100	6	34	4	237	329	366	695	129	325	30	10	306	93	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Fort Myers Mighty Mussels	—	366	339	53	5	4	2	22	142	2	23	5	156	214	212	427	56	251	39	6	192	16	—	—	—	—	—	—
2025	20	A MLE	Fort Myers Mighty Mussels	—	241	208	32	2	1	1	28	68	3	11	5	154	261	188	449	34	222	28	12	214	31	—	—	—	—	—	—
2026	21	A MLE	2 teams	—	329	287	68	9	2	8	33	100	6	34	4	237	329	366	695	129	325	30	10	306	93	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	MIN	0%	439	389	70	10	2	6	42	125	5	18	3	181	269	267	536	86	245	28	10	249	55	-24	+2	+0	+2	+10	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	MIN	34%	253	224	41	6	1	4	24	70	3	10	2	188	276	285	561	97	249	28	9	259	61	-12	+1	+0	+1	+5	-0.4
2029	24	MLB MLE	MIN	46%	334	295	57	8	2	6	32	91	4	14	2	193	280	297	578	105	252	27	10	265	66	-14	+2	+0	+1	+7	-0.3
2030	25	MLB MLE	MIN	52%	379	335	66	10	2	8	37	102	4	15	3	196	283	305	589	109	254	27	10	270	69	-14	+2	+0	+1	+8	-0.3
2031	26	MLB MLE	MIN	54%	404	358	71	11	2	8	39	108	4	16	3	198	285	310	595	112	256	27	10	272	70	-14	+2	+0	+1	+9	-0.2
2032	27	MLB MLE	MIN	54%	414	367	73	11	2	9	40	111	4	16	3	200	286	313	599	113	257	27	10	274	71	-14	+2	+0	+1	+9	-0.2
2033	28	MLB MLE	MIN	54%	416	369	73	11	2	9	40	112	4	14	3	198	284	308	592	110	257	27	10	271	70	-15	+2	-1	+1	+9	-0.4
2034	29	MLB MLE	MIN	58%	407	361	71	11	2	8	39	111	4	12	2	196	282	302	584	106	255	27	10	268	67	-16	+2	-1	+1	+9	-0.6
2028	23	MLB CTX	MIN	34%	87	78	14	2	0	2	8	24	1	4	1	188	276	285	561	98	249	28	9	259	61	-4	+0	+0	+0	+2	-0.1
2029	24	MLB CTX	MIN	46%	154	136	27	4	1	3	15	42	2	6	1	193	281	298	578	105	252	27	10	266	66	-6	+1	+0	+1	+3	-0.2
2030	25	MLB CTX	MIN	52%	196	173	34	5	1	4	19	53	2	8	1	196	283	306	589	110	254	27	10	270	69	-7	+1	+0	+1	+4	-0.1
2031	26	MLB CTX	MIN	54%	219	194	39	6	1	5	21	59	2	9	2	198	285	311	596	112	256	27	10	273	70	-8	+1	+0	+1	+5	-0.1
2032	27	MLB CTX	MIN	54%	225	199	40	6	1	5	22	60	2	9	2	200	286	313	599	113	258	27	10	274	71	-8	+1	+0	+1	+5	-0.1
2033	28	MLB CTX	MIN	54%	226	200	40	6	1	5	22	61	2	8	1	198	284	309	593	111	257	27	10	271	70	-8	+1	-0	+1	+5	-0.2
2034	29	MLB CTX	MIN	58%	235	208	41	6	1	5	23	64	2	7	1	196	282	303	584	107	255	27	10	268	67	-9	+1	-1	+1	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1342	1188	235	35	6	29	130	363	13	51	9	198	284	311	595	113	257	27	10	270	62	-50	+7	-1	+5	+29	-1.1
/ 162G	—	A+C		—	650	575	114	17	3	14	63	176	6	25	4	198	284	311	595	113	258	27	10	270	62	-24	+3	-1	+2	+14	-0.5
Career	—	MLE		—	4076	3607	700	97	21	66	385	1134	47	196	43	194	280	287	568	93	261	28	9	260	62	-110	+13	-2	+10	+61	-2.9
/ 162G	—	MLE		—	650	575	111	15	3	11	61	181	7	31	7	193	278	287	565	94	258	28	9	260	62	-25	+3	-0	+2	+14	-0.7

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 AFort Myers Mighty Mussels · 235 PAwOBA .364 → .293 (−71)K% 23.4% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.40%	÷1.000	×1.360	—	—	31.83%
BB% (unintentional) /PA	14.04%	÷1.000	×0.690	—	×1.015	9.83%
HBP% /PA	1.70%	—	×0.780	—	×1.015	1.35%
Singles /BIP	28.99%	÷1.000	×0.920	×0.969	×1.015	26.23%
Doubles /BIP	5.07%	÷1.000	×0.830	×0.969	×1.015	4.14%
Triples /BIP	0.72%	÷1.000	×0.910	×0.969	×1.015	0.65%
Home runs /BIP	5.07%	÷1.000	×0.800	—	×1.015	4.12%

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 ×0.969.

Result: wOBA .364 → .293; ISO .155 → .123; BABIP .364 → .321. 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+Cedar Rapids Kernels · 94 PAwOBA .396 → .337 (−60)K% 21.3% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.28%	÷1.000	×1.270	—	—	27.02%
BB% (unintentional) /PA	14.89%	÷1.000	×0.710	—	×1.027	10.86%
HBP% /PA	2.13%	—	×0.790	—	×1.027	1.73%
Singles /BIP	26.79%	÷1.000	×0.920	×0.992	×1.027	25.12%
Doubles /BIP	7.14%	÷1.000	×0.810	×0.992	×1.027	5.90%
Triples /BIP	1.79%	÷1.000	×0.850	×0.992	×1.027	1.55%
Home runs /BIP	5.36%	÷1.000	×0.800	—	×1.027	4.40%

Factors used: league row Midwest 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.

Result: wOBA .396 → .337; ISO .197 → .166; BABIP .370 → .334. 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 AFort Myers Mighty Mussels · 241 PAwOBA .277 → .214 (−63)K% 20.7% → 28.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.75%	÷0.994	×1.360	—	—	28.38%
BB% (unintentional) /PA	17.01%	÷1.054	×0.690	—	×1.030	11.47%
HBP% /PA	1.24%	—	×0.780	—	×1.030	1.00%
Singles /BIP	22.45%	÷1.029	×0.920	×0.958	×1.030	19.82%
Doubles /BIP	2.04%	÷1.032	×0.830	×0.958	×1.030	1.62%
Triples /BIP	0.68%	÷1.000	×0.910	×0.958	×1.030	0.61%
Home runs /BIP	0.68%	÷0.898	×0.800	—	×1.030	0.62%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 106, 2B 106, 3B 100, K 99, BB 111 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .277 → .214; ISO .041 → .034; BABIP .253 → .222. 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 AFort Myers Mighty Mussels · 366 PAwOBA .249 → .192 (−56)K% 28.4% → 38.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.42%	÷0.994	×1.360	—	—	38.89%
BB% (unintentional) /PA	7.92%	÷0.976	×0.690	—	×1.045	5.85%
HBP% /PA	0.55%	—	×0.780	—	×1.045	0.45%
Singles /BIP	24.11%	÷1.096	×0.920	×0.986	×1.045	20.85%
Doubles /BIP	3.12%	÷1.019	×0.830	×0.986	×1.045	2.62%
Triples /BIP	2.23%	÷0.962	×0.910	×0.986	×1.045	2.17%
Home runs /BIP	0.89%	÷0.962	×0.800	—	×1.045	0.78%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 119, 2B 104, 3B 92, K 99, BB 95 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .249 → .192; ISO .070 → .057; BABIP .289 → .251. 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 ROKFCL Twins · 106 PAwOBA .337 → .256 (−81)K% 17.9% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.92%	÷1.025	×1.440	—	—	25.19%
BB% (unintentional) /PA	18.87%	÷0.963	×0.620	—	×1.022	12.43%
HBP% /PA	1.89%	—	×0.720	—	×1.022	1.39%
Singles /BIP	29.23%	÷1.018	×0.820	×1.036	×1.022	24.96%
Doubles /BIP	4.62%	÷1.014	×0.720	×1.036	×1.022	3.47%
Triples /BIP	0.00%	÷0.934	×0.720	×1.036	×1.022	0.00%
Home runs /BIP	0.00%	÷0.913	×0.780	—	×1.022	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 104, 2B 103, 3B 87, K 105, BB 93 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .337 → .256; ISO .036 → .027; BABIP .338 → .284. 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).

2022 DSLDSL Marlins · 217 PAwOBA .379 → .262 (−117)K% 12.4% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.44%	÷1.019	×1.220	—	—	14.90%
BB% (unintentional) /PA	11.52%	÷0.975	×0.700	—	×1.022	8.46%
HBP% /PA	2.30%	—	×0.700	—	×1.022	1.65%
Singles /BIP	33.97%	÷1.010	×0.680	×0.970	×1.022	22.68%
Doubles /BIP	5.77%	÷0.991	×0.600	×0.970	×1.022	3.46%
Triples /BIP	0.00%	÷0.900	×0.600	×0.970	×1.022	0.00%
Home runs /BIP	0.64%	÷1.016	×0.470	—	×1.022	0.30%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 102, 2B 98, 3B 80, K 104, BB 95 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .379 → .262; ISO .066 → .039; BABIP .390 → .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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#2Tony Gwynn Jr.last yr '14 career totals — 7 seasons, 1,749 PA	2.6	1,749	7	77	239	310	313	+1	+35	4.1	4.1
/162	664	3	29	+0.5	+13.1	1.6	pk7: 4
#3Ruben Rivera'95-'03 * career totals — 7 seasons, 1,818 PA	2.7	1,818	64	50	206*	292*	376*	-1	+20	4.0	4.0
/162	664	23	18	-0.3	+7.2	1.5	pk7: 4
#4Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#5Milt Cuyler'90-'98 * career totals — 7 seasons, 1,567 PA	2.4	1,567	10	77	233*	299*	338*	+1	+4	0.6	0.9
/162	664	4	33	+0.6	+1.9	0.3	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.3	1,551	30	58	195	279	301	+6	+12	-0.5	-0.2
/162	664	13	25	+2.4	+5.4	-0.2	pk7: 0
#6Joe Simpson'75-'83 * career totals — 5 seasons, 1,531 PA	2.3	1,531	9	45	237*	289*	336*	-9	+2	-2.3	-1.8
/162	664	4	20	-4.0	+1.1	-1.0	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
Byron Chourio (OGILVIE)	22	30	20	50	60	179/267/264	85	245	3	8	29%	10%	55	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/261	97	258	8	24	35%	14%	66	-1.1	191/307/295	104	295	8	20	33%	12%	77	-0.3	192/310/298	105	297	8	21	33%	12%	77	-0.2
✕Terry Serrano 2009 · A	22	39	35→30	50→55	46	183/246/241	59	240	2	15	24%	7%	40	-3.1	207/288/279	72	316	3	15	32%	10%	64	-1.3	204/311/268	64	327	2	21	33%	13%	68	-0.5
✕Robert Moore 2024 · A	22	41→44	40→45	48→50	44	198/265/297	99	262	7	16	26%	7%	60	-1.6	204/268/313	109	256	10	14	23%	7%	65	-1.2	196/264/316	120	235	12	13	22%	7%	62	-0.9
✕Roberto Caro 2016 · A	22	41→40	37→40	60	50	192/272/272	80	251	2	20	23%	9%	57	-1.8	203/271/276	73	310	2	18	32%	8%	57	-1.8	211/282/288	76	323	2	26	32%	8%	62	-0.7
✕Geraldo Quintero 2024 · A	22	45→47	38→40	54→60	46	214/277/299	85	280	5	21	24%	7%	64	-1.3	210/281/306	96	275	8	28	25%	8%	68	-1.0	199/277/299	100	256	9	37	25%	8%	63	-0.8
✕Joseph Rosa 2019 · A	22	40→45	37→40	45→50	41	194/251/261	67	280	6	14	32%	7%	46	-2.6	206/271/296	90	295	7	11	30%	7%	62	-1.4	206/281/301	95	299	7	14	31%	8%	65	-0.8
✕Oliver Dominguez 2011 · A	22	42	41→40	51→45	49	204/274/300	96	258	9	16	24%	8%	64	-1.3	195/265/289	94	278	7	10	30%	8%	58	-1.7	180/250/270	90	260	6	8	31%	8%	46	-1.2
✕Yhoswar Garcia 2024 · A	22	39	37→30	58→70	39	190/246/264	74	268	4	27	30%	5%	45	-2.7	209/257/270	61	275	2	42	23%	6%	49	-2.4	208/255/258	50	270	1	58	22%	6%	44	-1.6
✕Arquímedes Gamboa 2021 · AA	23	39→44	37→40	51→50	46	186/263/256	70	278	4	15	32%	9%	50	-2.3	206/285/302	96	295	8	14	30%	10%	69	-0.9	202/287/292	90	293	7	15	31%	10%	64	-0.7
✕Yonki Hernandez 2012 · A	21	37	35→30	53→55	51	174/277/233	60	240	2	17	26%	10%	52	-2.2	190/257/261	71	301	4	18	35%	7%	49	-2.4	175/224/210	35	295	3	27	40%	6%	19	-1.1
✕Rubendy Jaquez 2021 · A	22	44→41	40	54→55	42	213/266/303	91	286	7	18	27%	6%	61	-1.5	206/252/283	77	276	4	18	25%	5%	51	-2.3	198/241/265	66	263	2	22	24%	5%	39	-1.2
✕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
✕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
✕Jenner Emeterio 2014 · A	21	41	34→30	54→60	55	190/281/239	49	242	2	25	21%	11%	53	-2.1	205/298/267	62	262	2	20	20%	11%	66	-1.1	198/314/254	56	245	0	28	16%	13%	69	-0.4
✕Austin Elkins 2014 · A	23	43→41	40	49→50	53	207/294/304	97	258	7	13	22%	10%	73	-0.6	215/293/305	90	277	7	10	23%	9%	72	-0.7	208/294/273	65	268	4	6	22%	9%	62	-0.6
✕Edwin Mateo 2021 · A	22	43	39→40	51→55	50	205/286/288	82	267	7	13	24%	9%	66	-1.1	212/274/297	85	302	5	13	29%	6%	63	-1.4	206/269/288	83	293	5	14	29%	6%	56	-0.9
✕Yasel Antuna 2023 · AA	23	37→35	43→45	48→50	48	187/265/295	108	254	11	14	30%	9%	60	-1.6	188/267/285	97	271	9	13	31%	9%	59	-1.7	142/231/221	79	208	7	12	33%	9%	30	-1.5
✕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
✕Imbewer Alvarez 2008 · A	22	43	38→40	52→55	50	203/279/280	77	258	5	18	22%	8%	61	-1.5	191/249/259	68	294	4	11	34%	5%	45	-2.7	132/178/179	47	218	4	5	40%	2%	-1	-1.1
✕Jose Infante 2015 · A	21	39	36→30	49→50	49	182/288/250	68	250	3	13	26%	9%	60	-1.6	184/267/255	71	275	3	10	31%	8%	52	-2.2	121/211/180	59	200	0	10	35%	8%	13	-1.1

Byron Chourio

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps