Jose Cerice

IF Quad Cities River Bandits

Age 22 R/R 6'2" / 192 lbs A+ HR -15%K -8% Svc 0.0 · Ctrl thru 2034

Overview

A+PROSPECTMiLBFA 2035

OGV OFP35OGV rank#498ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKDSL Royals Ve…	179	.314/.384/.421	1	4	43	—	.198/.266/.253
2025	20	A/ROKKC	235	.326/.378/.442	3	6	82	—	.277/.326/.383
2026	21	A+KC	419	.272/.394/.371	6	19	91	—	.250/.355/.331
2027PROJMLE	22	MLBKC	1	.238/.319/.321	0	0	87	0.0
2028PROJ35% MLB	23	MLBKC	126	.242/.323/.338	2	2	93	0.1
2029PROJ46% MLB	24	MLBKC	189	.245/.325/.350	3	3	97	0.3

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

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$3M2033Arb-2$4M2034Arb-3$4M

Skills · percentileMiLB Statcast 2026 A+

K%94

Whiff%91

Z-Con%91

Speed67

wOBA63

wRC+61

Career WAR0.0 WAR median (P10 -0.4 / P90 13, comp-based) · star 5% · didn't stick 76%

CompsLuJames Groover (age 22) · Jake Elmore (age 22) · Austin Dean (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†87

AVG/OBP/SLG.238 / .319 / .321

PA1

HR0

K%18

BB%6

BABIP284

ISO81

MLB%0%

Value2027 · WAR

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

Contract

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
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2030	Pre-Arb	$0.8M	+0.5	$2M	+$1.0M
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2032	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2033	Arb-2	$4M	+0.4	$1M	+$0.0M (cut)
2034	Arb-3	$4M	+0.3	$0.7M	+$0.0M (cut)
Totals		$3M		$7M	+$2M

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)
2024	19	ROK	DSL Royals Ventura	—	179	159	50	8	3	1	10	20	8	4	2	314	384	421	806	107	350	11	6	360	43	—	—	—	—	—	—
2025	20	A	Columbia Fireflies	—	126	116	35	5	0	1	3	15	6	3	0	302	352	371	723	69	337	12	2	327	71	—	—	—	—	—	—
2025	20	ROK	ACL Royals	—	109	99	35	9	1	2	3	12	6	3	0	354	407	525	933	172	384	11	3	410	95	—	—	—	—	—	—
2026	21	A+	Quad Cities River Bandits	—	419	345	94	12	2	6	39	60	30	19	6	272	394	371	765	99	312	14	9	352	91	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	19	ROK MLE	DSL Royals Ventura	—	179	162	32	5	2	0	7	24	8	4	2	198	266	253	519	56	224	13	4	232	43	—	—	—	—	—	—
2025	20	A MLE	Columbia Fireflies	—	126	117	31	5	0	1	2	21	6	3	0	265	312	333	645	68	300	17	2	273	71	—	—	—	—	—	—
2025	20	ROK MLE	ACL Royals	—	109	100	29	7	1	2	2	18	6	3	0	290	343	440	783	150	306	17	2	309	95	—	—	—	—	—	—
2026	21	A+ MLE	Quad Cities River Bandits	—	419	356	89	10	2	5	28	76	30	19	6	250	355	331	687	81	291	18	7	303	91	—	—	—	—	—	—
2024	19	ROK MLE	DSL Royals Ventura	—	179	162	32	5	2	0	7	24	8	4	2	198	266	253	519	56	229	13	4	232	43	—	—	—	—	—	—
2024	19	ROK RAW	DSL Royals Ventura	—	179	159	50	8	3	1	10	20	8	4	2	314	384	421	806	107	350	11	6	360	43	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	235	217	57	11	1	2	4	38	12	6	0	263	313	350	664	88	307	16	2	290	82	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	235	215	70	14	1	3	6	27	12	6	0	326	378	442	820	116	358	11	3	366	82	—	—	—	—	—	—
2026	21	A+ MLE	Quad Cities River Bandits	—	419	356	89	10	2	5	28	76	30	19	6	250	355	331	687	81	302	18	7	303	91	—	—	—	—	—	—
2026	21	A+ RAW	Quad Cities River Bandits	—	419	345	94	12	2	6	39	60	30	19	6	272	394	371	765	99	312	14	9	352	91	—	—	—	—	—	—
2024	19	ROK MLE	DSL Royals Ventura	—	179	162	32	5	2	0	7	24	8	4	2	198	266	253	519	56	224	13	4	232	43	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	235	217	57	11	1	2	4	38	12	6	0	263	313	350	664	88	303	16	2	290	82	—	—	—	—	—	—
2026	21	A+ MLE	Quad Cities River Bandits	—	419	358	89	10	2	5	28	76	30	19	6	249	355	330	685	81	291	18	7	303	91	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	DSL Royals Ventura	—	179	162	32	5	2	0	7	24	8	4	2	198	266	253	519	56	224	13	4	232	43	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	235	217	57	11	1	2	4	38	12	6	0	263	313	350	664	88	303	16	2	290	82	—	—	—	—	—	—
2026	21	A+ MLE	Quad Cities River Bandits	—	419	358	89	10	2	5	28	76	30	19	6	249	355	330	685	81	291	18	7	303	91	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	KC	0%	529	468	112	17	2	6	30	95	26	11	3	240	321	326	647	86	286	18	6	297	87	-8	+1	-2	+0	+11	0.2
▸ 2027 — real world (MLB)
2027	22	MLB CTX	KC	0%	1	1	0	0	0	0	0	0	0	0	0	238	319	321	640	83	284	0	0	294	87	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	KC	35%	364	322	80	12	2	6	22	65	17	7	2	244	325	344	669	99	287	18	6	305	93	-3	+1	-1	+0	+8	0.4
2029	24	MLB MLE	KC	46%	408	362	90	14	2	7	25	73	18	7	2	247	328	356	684	109	288	18	6	311	97	-2	+1	-1	+0	+9	0.7
2030	25	MLB MLE	KC	52%	455	403	100	15	2	9	29	82	20	7	2	248	329	364	693	115	289	18	6	314	99	-1	+1	-1	+0	+10	0.9
2031	26	MLB MLE	KC	54%	481	427	105	16	2	10	31	88	20	7	2	249	329	367	696	119	289	18	6	315	99	-0	+1	-1	+0	+10	1.0
2032	27	MLB MLE	KC	54%	485	431	106	17	2	10	32	90	19	7	2	247	327	367	694	120	288	19	7	314	99	-1	+1	-1	+0	+11	1.0
2033	28	MLB MLE	KC	54%	482	428	105	16	2	10	32	91	19	5	2	245	325	362	687	117	287	19	7	311	97	-2	+0	-2	+0	+10	0.7
2034	29	MLB MLE	KC	53%	473	421	102	16	2	9	31	90	18	5	2	243	322	356	678	113	286	19	7	308	94	-3	+0	-2	+0	+10	0.5
2035	30	MLB MLE	KC	52%	461	410	99	15	2	9	30	89	18	4	2	240	319	347	666	108	284	19	7	303	91	-5	+0	-3	+0	+10	0.2
2036	31	MLB MLE	KC	52%	445	397	93	14	1	8	28	88	17	2	5	236	314	337	651	102	281	20	6	297	87	-7	-2	-4	+0	+10	-0.3
2028	23	MLB CTX	KC	35%	126	112	28	4	1	2	7	22	6	2	1	242	323	338	661	96	285	17	6	302	93	-1	+0	-0	+0	+3	0.1
2029	24	MLB CTX	KC	46%	189	167	41	6	1	3	12	34	8	3	1	245	325	350	675	105	286	18	6	307	97	-1	+0	-1	+0	+4	0.3
2030	25	MLB CTX	KC	52%	235	208	51	8	1	4	15	42	10	4	1	246	326	356	683	111	286	18	6	310	99	-0	+0	-1	+0	+5	0.5
2031	26	MLB CTX	KC	54%	261	231	57	9	1	5	17	48	11	4	1	246	326	360	686	114	286	18	7	311	99	-0	+0	-1	+0	+6	0.5
2032	27	MLB CTX	KC	54%	263	234	57	9	1	5	17	49	10	4	1	244	325	359	684	115	286	19	6	310	99	-0	+0	-1	+0	+6	0.5
2033	28	MLB CTX	KC	54%	262	233	56	9	1	5	17	49	10	3	1	243	323	354	677	112	285	19	6	307	97	-1	+0	-1	+0	+6	0.4
2034	29	MLB CTX	KC	53%	251	223	54	8	1	5	16	48	10	2	1	240	320	348	668	108	284	19	6	304	94	-2	+0	-1	+0	+5	0.3
2035	30	MLB CTX	KC	52%	242	215	51	8	1	4	16	47	9	2	1	237	316	340	657	103	282	19	7	299	91	-3	+0	-2	+0	+5	0.1
2036	31	MLB CTX	KC	52%	232	206	48	7	1	4	15	46	9	1	3	233	311	331	642	98	279	20	6	293	87	-4	-1	-2	+0	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2061	1829	443	68	9	37	132	385	83	25	11	242	322	350	672	108	287	19	6	305	92	-11	+1	-8	+0	+45	2.6
/ 162G	—	A+C		—	650	577	140	21	3	12	42	121	26	8	3	243	323	352	675	109	286	19	6	305	92	-4	+0	-3	+0	+14	0.8
Career	—	MLE		—	5097	4522	1103	168	23	87	311	932	226	84	30	244	324	349	673	105	288	18	6	304	92	-26	+2	-17	+0	+92	5.2
/ 162G	—	MLE		—	650	577	140	21	3	11	40	119	29	11	4	243	324	347	671	104	287	18	6	304	92	-4	+0	-3	+0	+14	0.8

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 A+Quad Cities River Bandits · 419 PAwOBA .346 → .303 (−43)K% 14.3% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.32%	÷1.000	×1.270	—	—	18.19%
BB% (unintentional) /PA	9.31%	÷1.000	×0.710	—	×1.027	6.79%
HBP% /PA	7.16%	—	×0.790	—	×1.027	5.81%
Singles /BIP	25.96%	÷1.000	×0.920	×1.010	×1.027	24.78%
Doubles /BIP	4.21%	÷1.000	×0.810	×1.010	×1.027	3.54%
Triples /BIP	0.70%	÷1.000	×0.850	×1.010	×1.027	0.62%
Home runs /BIP	2.11%	÷1.000	×0.800	—	×1.027	1.73%

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 ×1.010.

Result: wOBA .346 → .303; ISO .099 → .084; BABIP .312 → .291. 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 AColumbia Fireflies · 126 PAwOBA .321 → .273 (−48)K% 11.9% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.90%	÷0.982	×1.360	—	—	16.48%
BB% (unintentional) /PA	2.38%	÷1.006	×0.690	—	×1.030	1.68%
HBP% /PA	4.76%	—	×0.780	—	×1.030	3.83%
Singles /BIP	28.71%	÷1.099	×0.920	×1.022	×1.030	25.31%
Doubles /BIP	4.95%	÷0.913	×0.830	×1.022	×1.030	4.74%
Triples /BIP	0.00%	÷0.937	×0.910	×1.022	×1.030	0.00%
Home runs /BIP	0.99%	÷1.086	×0.800	—	×1.030	0.75%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 120, 2B 83, 3B 87, K 96, BB 101 — 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 ×1.022.

Result: wOBA .321 → .273; ISO .069 → .059; BABIP .337 → .300. 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 ROKACL Royals · 109 PAwOBA .402 → .309 (−93)K% 11.0% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.01%	÷0.985	×1.440	—	—	16.10%
BB% (unintentional) /PA	2.75%	÷0.971	×0.620	—	×0.995	1.75%
HBP% /PA	5.50%	—	×0.720	—	×0.995	3.94%
Singles /BIP	26.44%	÷1.019	×0.820	×1.028	×0.995	21.75%
Doubles /BIP	10.34%	÷0.975	×0.720	×1.028	×0.995	7.81%
Triples /BIP	1.15%	÷1.070	×0.720	×1.028	×0.995	0.79%
Home runs /BIP	2.30%	÷0.939	×0.780	—	×0.995	1.90%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 104, 2B 95, 3B 114, K 97, BB 94 — 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 ×1.028.

Result: wOBA .402 → .309; ISO .172 → .130; BABIP .384 → .306. 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 DSLDSL Royals Ventura · 179 PAwOBA .355 → .232 (−123)K% 11.2% → 13.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.17%	÷1.000	×1.220	—	—	13.64%
BB% (unintentional) /PA	5.59%	÷1.022	×0.700	—	×0.995	3.81%
HBP% /PA	4.47%	—	×0.700	—	×0.995	3.11%
Singles /BIP	27.34%	÷1.014	×0.680	×0.983	×0.995	17.93%
Doubles /BIP	5.76%	÷0.982	×0.600	×0.983	×0.995	3.44%
Triples /BIP	2.16%	÷1.012	×0.600	×0.983	×0.995	1.25%
Home runs /BIP	0.72%	÷0.994	×0.470	—	×0.995	0.34%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 103, 2B 96, 3B 102, K 100, BB 104 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .355 → .232; ISO .107 → .062; BABIP .350 → .224. 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
#1Vance Law'80-'91 * career totals — 11 seasons, 4,298 PA	6.5	4,298	71	34	253*	327*	401*	+13	-17	10.0	11.5
/162	664	11	5	+2.0	-2.6	1.5	pk7: 13
#2Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#3Don Wert'63-'71 * career totals — 8 seasons, 4,346 PA	6.5	4,346	77	22	251*	323*	379*	+16	-20	6.5	7.2
/162	664	12	3	+2.5	-3.1	1.0	pk7: 8
#4Dave Chalk'73-'81 * career totals — 9 seasons, 3,330 PA	5.0	3,330	15	36	250*	327*	339*	+20	-13	6.1	6.6
/162	664	3	7	+3.9	-2.5	1.2	pk7: 7
#5Gavin Luxlast yr '25 career totals — 6 seasons, 1,993 PA	3.0	1,993	33	20	256	332	381	+3	-8	5.8	5.8
/162	664	11	7	+0.9	-2.6	1.9	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.1	2,061	40	25	246	322	358	+0	-10	4.7	4.5
/162	664	13	8	+0.0	-3.2	1.5	pk7: 4
#6Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	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
Jose Cerice (OGILVIE)	22	—	—	—	—	238/318/323	85	286	2	4	18%	6%	87	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕LuJames Groover 2024 · A	22	47→55	40→45	47→40	48	225/287/324	99	261	7	8	16%	6%	74	-0.5	243/309/357	114	287	11	6	18%	8%	90	+0.6	250/320/355	105	298	10	4	18%	8%	92	+0.5
●Jake Elmore 2009 · A	22	45→55	40	45→55	45	216/278/317	102	283	6	10	25%	7%	69	-0.9	235/306/311	76	287	3	14	18%	8%	78	-0.3	269/342/344	75	321	2	23	15%	9%	97	+0.9
●Austin Dean 2016 · A	22	51→58	40→55	45	44	243/286/339	95	296	7	9	20%	5%	76	-0.4	236/281/345	109	294	9	5	22%	5%	76	-0.4	262/308/421	159	310	17	4	21%	5%	101	+1.0
✕Jake Smolinski 2011 · A	22	49→50	42→55	42→45	46	235/289/350	114	284	8	6	20%	6%	80	-0.1	228/299/334	106	272	8	8	18%	8%	81	-0.1	238/300/392	154	271	17	6	18%	7%	94	+0.6
✕Albert Almora Jr. 2016 · AA	22	51→59	42→45	46→50	43	247/280/357	111	282	8	7	16%	4%	78	-0.3	266/298/383	117	309	10	7	17%	4%	91	+0.7	280/312/395	115	326	10	5	17%	4%	99	+0.9
✕Johnny Giavotella 2009 · A	22	51→61	41→45	46→50	47	245/290/346	101	283	7	10	16%	6%	79	-0.2	257/307/361	104	296	7	13	15%	7%	89	+0.5	283/331/391	108	325	8	10	15%	6%	103	+1.6
✕Zelous Wheeler 2009 · A	22	46→54	43→50	43→45	44	225/283/334	110	289	10	7	25%	7%	75	-0.5	239/312/351	112	296	9	8	21%	8%	90	+0.6	245/320/372	126	288	12	7	18%	8%	95	+0.7
✕Enrique Osorio 2007 · AAA	22	47→55	40→45	47→50	51	225/313/314	89	270	7	14	18%	8%	82	+0.0	221/281/293	72	273	6	14	20%	6%	65	-1.2	266/324/381	114	299	12	10	15%	6%	98	+0.6
✕Yonathan Daza 2016 · A	22	52→61	37→45	45→50	40	249/280/325	77	294	4	11	17%	3%	70	-0.8	256/283/335	79	323	3	10	21%	3%	74	-0.6	274/320/358	85	326	5	6	17%	6%	92	+0.5
●Cheslor Cuthbert 2015 · AAA	22	46→56	42→50	45	44	227/273/334	107	276	10	8	21%	6%	70	-0.8	249/295/379	130	294	13	5	19%	6%	89	+0.5	255/309/403	148	298	17	1	20%	7%	101	+0.7
✕Yairo Muñoz 2017 · AA	22	44→54	42→50	44→55	41	220/256/324	104	269	10	7	22%	4%	62	-1.4	251/288/378	127	308	13	14	22%	5%	86	+0.3	265/303/396	131	322	14	17	22%	4%	96	+0.6
●Jake Meyers 2019 · A	23	48→58	42→55	43→50	45	229/291/342	113	295	9	11	24%	7%	80	-0.2	223/281/349	126	297	12	11	28%	6%	78	-0.3	254/316/413	159	324	19	11	26%	7%	105	+1.1
✕Josh Kasevich 2023 · A	22	49→59	38→40	42→50	49	230/288/315	85	263	4	6	14%	6%	72	-0.7	250/303/321	71	292	5	9	15%	6%	78	-0.3	263/317/325	62	307	3	8	15%	6%	81	-0.0
✕Tyler Nevin 2018 · A	21	49→55	41→50	47→45	44	236/288/342	106	300	8	9	24%	6%	78	-0.3	236/292/346	110	300	10	6	23%	7%	80	-0.1	240/319/380	139	292	16	4	22%	8%	98	+0.8
●Kristian Campbell 2024 · A	22	49→58	41→45	46→50	43	226/306/330	104	321	7	10	30%	7%	83	+0.1	250/335/385	135	341	14	13	28%	10%	107	+1.8	243/335/370	127	339	13	12	29%	10%	101	+1.2
✕Diory Hernandez 2006 · A	22	47→57	42→45	41→50	40	229/276/332	103	291	9	7	24%	4%	72	-0.7	246/287/342	96	302	8	12	21%	4%	78	-0.3	273/313/367	93	329	6	13	18%	4%	89	+0.4
✕Andruw Monasterio 2019 · A	22	48→54	36→45	46→55	47	226/285/289	63	284	3	9	21%	7%	64	-1.3	221/279/295	74	298	5	9	26%	7%	64	-1.3	241/316/348	107	322	9	15	26%	9%	89	+0.4
✕José Caballero 2019 · A	22	47→45	43→45	47→70	45	231/292/348	117	278	10	9	21%	6%	81	-0.1	219/292/328	109	283	9	26	25%	8%	78	-0.3	226/318/339	113	301	10	63	26%	9%	91	+0.4
✕Emmanuel Rivera 2018 · A	22	52→60	42→55	44→45	40	249/292/358	109	321	9	7	25%	5%	83	+0.1	232/267/336	104	284	9	5	21%	4%	68	-1.0	245/302/402	158	292	18	4	22%	7%	97	+0.8
✕Alex Call 2017 · A	22	48→47	41→50	48→50	44	231/288/334	102	295	8	12	24%	6%	76	-0.4	197/258/303	106	272	9	8	29%	6%	59	-1.7	235/338/356	121	285	11	12	20%	12%	102	+0.8

Jose Cerice

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps