Cesar Gonzalez

C Stockton Ports

Age 22 R/R 6'2" / 165 lbs A HR -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1681ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKOAK	46	.244/.326/.366	0	0	17	—	.167/.239/.262
2025	20	A/ROKOAK	147	.220/.333/.325	0	0	29	—	.160/.236/.237
2026	21	AOAK	244	.228/.355/.322	4	5	53	—	.190/.293/.261
2027PROJMLE	22	MLBOAK	354	.191/.273/.278	4	6	58	0.0
2028PROJ34% MLB	23	MLBOAK	61	.202/.283/.303	1	1	64	-0.0
2029PROJ46% MLB	24	MLBOAK	120	.206/.287/.314	2	2	68	0.0

Next 3 projected WAR 0.0Projected 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

BB%55

Chase%49

wOBA37

Speed30

wRC+28

ISO28

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsAaron McKeithan (age 22) · Franklin Tineo (age 22) · Misael Urbina (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 143 proj PA

wRC+†58

AVG/OBP/SLG.189 / .271 / .276

PA143

HR2

K%29

BB%8

ISO87

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 25 / POW 39

Toolsscout grade

CONTACT25

scouting grade only

POWER39

scouting grade only

EYE58

scouting grade only

SPEED51

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
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		$0.9M		$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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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 Athletics	—	71	50	14	1	0	0	14	8	6	1	1	280	486	300	786	20	326	11	20	383	76	—	—	—	—	—	—
2023	18	ROK	DSL Athletics	—	180	147	32	6	0	3	27	29	6	1	2	218	361	320	681	102	252	16	15	322	22	—	—	—	—	—	—
2024	19	ROK	ACL Athletics	—	46	41	10	3	1	0	4	14	1	0	0	244	326	366	692	122	370	30	9	314	17	—	—	—	—	—	—
2025	20	A	Stockton Ports	—	46	39	7	2	0	0	5	12	0	0	0	179	273	231	503	51	241	26	11	230	17	—	—	—	—	—	—
2025	20	ROK	ACL Athletics	—	101	84	20	9	1	0	15	26	1	0	1	238	360	369	729	131	339	26	15	331	35	—	—	—	—	—	—
2026	21	A	Stockton Ports	—	244	202	46	7	0	4	31	69	9	5	1	228	355	322	677	94	321	28	13	317	53	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Athletics	—	71	54	11	1	0	0	10	10	6	1	1	204	386	222	608	19	225	14	14	280	76	—	—	—	—	—	—
2023	18	ROK MLE	DSL Athletics	—	180	155	19	3	0	1	19	36	6	1	2	123	244	161	406	39	154	20	11	200	22	—	—	—	—	—	—
2024	19	ROK MLE	ACL Athletics	—	46	42	7	2	1	0	3	20	1	0	0	167	239	262	501	95	280	43	7	193	17	—	—	—	—	—	—
2025	20	A MLE	Stockton Ports	—	46	41	7	2	0	0	3	16	0	0	0	171	227	220	447	49	222	35	7	194	17	—	—	—	—	—	—
2025	20	ROK MLE	ACL Athletics	—	101	90	14	6	1	0	9	38	1	0	1	156	240	244	484	89	260	38	9	220	35	—	—	—	—	—	—
2026	21	A MLE	Stockton Ports	—	244	211	40	6	0	3	22	94	9	5	1	190	293	261	554	71	300	39	9	247	53	—	—	—	—	—	—
2022	17	ROK MLE	DSL Athletics	—	71	54	11	1	0	0	10	10	6	1	1	204	386	222	608	19	244	14	14	280	76	—	—	—	—	—	—
2022	17	ROK RAW	DSL Athletics	—	71	50	14	1	0	0	14	8	6	1	1	280	486	300	786	20	326	11	20	383	76	—	—	—	—	—	—
2023	18	ROK MLE	DSL Athletics	—	180	155	19	3	0	1	19	36	6	1	2	123	244	161	406	39	153	20	11	200	22	—	—	—	—	—	—
2023	18	ROK RAW	DSL Athletics	—	180	147	32	6	0	3	27	29	6	1	2	218	361	320	681	102	252	16	15	322	22	—	—	—	—	—	—
2024	19	ROK MLE	ACL Athletics	—	46	42	7	2	1	0	3	20	1	0	0	167	239	262	501	95	318	43	7	193	17	—	—	—	—	—	—
2024	19	ROK RAW	ACL Athletics	—	46	41	10	3	1	0	4	14	1	0	0	244	326	366	692	122	370	30	9	314	17	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	147	130	21	8	1	0	13	54	1	0	1	162	243	238	482	77	266	37	9	212	30	—	—	—	—	—	—
2025	20	ROK RAW	2 teams	—	147	123	27	11	1	0	20	38	1	0	1	220	333	325	659	106	307	26	14	299	30	—	—	—	—	—	—
2026	21	A MLE	Stockton Ports	—	244	211	40	6	0	3	22	94	9	5	1	190	293	261	554	71	319	39	9	247	53	—	—	—	—	—	—
2026	21	A RAW	Stockton Ports	—	244	202	46	7	0	4	31	69	9	5	1	228	355	322	677	94	321	28	13	317	53	—	—	—	—	—	—
2022	17	ROK MLE	DSL Athletics	—	71	55	11	1	0	0	10	10	6	1	1	200	386	218	604	18	225	14	14	280	76	—	—	—	—	—	—
2023	18	ROK MLE	DSL Athletics	—	180	153	19	3	0	1	19	36	6	1	2	124	244	163	408	39	154	20	11	200	22	—	—	—	—	—	—
2024	19	ROK MLE	ACL Athletics	—	46	42	7	2	1	0	3	20	1	0	0	167	239	262	501	95	280	43	7	193	17	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	147	132	21	8	1	0	13	54	1	0	1	159	243	235	478	76	248	37	9	212	30	—	—	—	—	—	—
2026	21	A MLE	Stockton Ports	—	244	211	40	6	0	3	22	94	9	5	1	190	293	261	554	71	300	39	9	247	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	ACL Athletics	—	46	42	7	2	1	0	3	20	1	0	0	167	239	262	501	95	280	43	7	193	17	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	147	132	21	8	1	0	13	54	1	0	1	159	243	235	478	76	248	37	9	212	30	—	—	—	—	—	—
2026	21	A MLE	Stockton Ports	—	244	211	40	6	0	3	22	94	9	5	1	190	293	261	554	71	300	39	9	247	53	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	OAK	0%	354	315	61	12	2	4	30	102	6	6	2	191	273	278	551	87	264	29	8	254	58	-18	+0	+0	+6	+8	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	OAK	34%	178	158	32	6	1	3	15	50	3	3	1	196	278	293	571	97	266	28	8	262	64	-8	+0	+0	+3	+4	-0.1
2029	24	MLB MLE	OAK	46%	260	232	46	9	1	4	22	72	4	5	1	200	282	304	586	104	268	28	8	268	68	-10	+1	+0	+5	+6	0.1
2030	25	MLB MLE	OAK	52%	320	284	59	11	2	6	28	88	5	6	2	203	285	312	597	109	270	28	9	272	70	-11	+0	+0	+6	+7	0.2
2031	26	MLB MLE	OAK	54%	357	318	66	12	2	7	31	97	5	7	2	205	286	318	604	112	271	27	9	275	72	-12	+1	+0	+6	+8	0.3
2032	27	MLB MLE	OAK	54%	371	331	69	13	2	7	32	101	5	7	2	206	287	319	606	113	271	27	9	276	73	-12	+1	+0	+7	+8	0.3
2033	28	MLB MLE	OAK	54%	375	335	69	13	2	7	32	103	5	6	2	205	285	315	600	110	270	27	9	273	71	-13	+0	-1	+7	+8	0.2
2034	29	MLB MLE	OAK	53%	370	330	67	13	2	6	32	102	5	6	2	202	282	308	590	106	268	28	9	270	69	-14	+0	-1	+7	+8	-0.0
2035	30	MLB MLE	OAK	57%	361	322	64	12	1	6	31	101	5	5	2	199	278	300	579	101	266	28	9	265	65	-15	+0	-2	+6	+8	-0.3
2028	23	MLB CTX	OAK	34%	61	55	11	2	0	1	5	17	1	1	0	202	283	303	586	101	275	28	8	268	64	-3	+0	+0	+1	+1	-0.0
2029	24	MLB CTX	OAK	46%	120	107	23	5	1	2	10	33	2	2	1	206	287	314	601	108	277	28	8	274	68	-5	+0	+0	+2	+3	0.0
2030	25	MLB CTX	OAK	52%	165	148	31	6	1	3	14	45	2	3	1	209	290	322	612	113	279	27	8	278	70	-6	+0	+0	+3	+4	0.1
2031	26	MLB CTX	OAK	54%	194	172	37	8	1	4	17	53	3	4	1	211	292	327	619	116	280	27	9	281	72	-6	+0	+0	+3	+4	0.2
2032	27	MLB CTX	OAK	54%	201	179	38	8	1	4	17	55	3	4	1	212	292	329	622	117	280	27	8	282	73	-6	+0	+0	+4	+4	0.2
2033	28	MLB CTX	OAK	54%	203	180	39	8	1	4	18	56	3	3	1	210	290	324	615	114	279	28	9	279	71	-7	+0	-0	+4	+4	0.1
2034	29	MLB CTX	OAK	53%	196	174	37	8	1	3	17	54	3	3	1	208	287	318	605	110	278	28	9	275	69	-7	+0	-1	+4	+4	-0.0
2035	30	MLB CTX	OAK	57%	205	183	38	8	1	3	17	57	3	3	1	205	284	310	593	105	275	28	8	271	65	-8	+0	-1	+4	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1345	1198	254	53	7	24	115	370	20	23	7	212	292	328	620	116	284	28	9	277	63	-49	+2	-2	+24	+29	0.4
/ 162G	—	A+C		—	650	579	123	26	3	12	56	179	10	11	3	212	293	330	623	117	284	28	9	277	63	-24	+1	-1	+12	+14	0.2
Career	—	MLE		—	3423	3030	595	114	16	52	302	969	62	54	20	196	283	296	579	100	267	28	9	261	63	-101	+3	-4	+49	+59	0.6
/ 162G	—	MLE		—	650	575	113	22	3	10	57	184	12	10	4	197	283	297	580	101	268	28	9	261	63	-24	+1	-1	+12	+14	0.1

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 AStockton Ports · 244 PAwOBA .312 → .247 (−65)K% 28.3% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.28%	÷1.000	×1.360	—	—	38.46%
BB% (unintentional) /PA	12.70%	÷1.000	×0.690	—	×1.015	8.90%
HBP% /PA	3.69%	—	×0.780	—	×1.015	2.92%
Singles /BIP	26.32%	÷1.000	×0.920	×1.025	×1.015	25.18%
Doubles /BIP	5.26%	÷1.000	×0.830	×1.025	×1.015	4.54%
Triples /BIP	0.00%	÷1.000	×0.910	×1.025	×1.015	0.00%
Home runs /BIP	3.01%	÷1.000	×0.800	—	×1.015	2.44%

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 ×1.025.

Result: wOBA .312 → .247; ISO .094 → .071; BABIP .321 → .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 Athletics · 101 PAwOBA .326 → .220 (−107)K% 25.7% → 37.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.74%	÷0.983	×1.440	—	—	37.72%
BB% (unintentional) /PA	14.85%	÷0.971	×0.620	—	×0.995	9.43%
HBP% /PA	0.99%	—	×0.720	—	×0.995	0.71%
Singles /BIP	17.24%	÷1.039	×0.820	×1.030	×0.995	13.94%
Doubles /BIP	15.52%	÷1.020	×0.720	×1.030	×0.995	11.22%
Triples /BIP	1.72%	÷0.989	×0.720	×1.030	×0.995	1.29%
Home runs /BIP	0.00%	÷0.926	×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 85, 1B 108, 2B 104, 3B 98, 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 ×1.030.

Result: wOBA .326 → .220; ISO .131 → .086; BABIP .339 → .260. 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 AStockton Ports · 46 PAwOBA .235 → .194 (−41)K% 26.1% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.09%	÷1.011	×1.360	—	—	35.08%
BB% (unintentional) /PA	10.87%	÷1.029	×0.690	—	×1.030	7.50%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	18.52%	÷1.003	×0.920	—	×1.030	17.49%
Doubles /BIP	7.41%	÷0.990	×0.830	—	×1.030	6.39%
Triples /BIP	0.00%	÷1.150	×0.910	—	×1.030	0.00%
Home runs /BIP	0.00%	÷1.113	×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 123, 1B 101, 2B 98, 3B 130, K 102, BB 106 — 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 .235 → .194; ISO .051 → .043; BABIP .241 → .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 ROKACL Athletics · 46 PAwOBA .306 → .193 (−113)K% 30.4% → 43.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.43%	÷0.998	×1.440	—	—	43.89%
BB% (unintentional) /PA	8.70%	÷0.986	×0.620	—	×1.008	5.51%
HBP% /PA	2.17%	—	×0.720	—	×1.008	1.58%
Singles /BIP	22.22%	÷1.027	×0.820	—	×1.008	17.88%
Doubles /BIP	11.11%	÷1.124	×0.720	—	×1.008	7.17%
Triples /BIP	3.70%	÷0.907	×0.720	—	×1.008	2.96%
Home runs /BIP	0.00%	÷0.852	×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 70, 1B 105, 2B 125, 3B 81, K 100, BB 97 — 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 .306 → .193; ISO .122 → .072; BABIP .370 → .280. 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 Athletics · 180 PAwOBA .315 → .200 (−115)K% 16.1% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.11%	÷0.994	×1.220	—	—	19.77%
BB% (unintentional) /PA	15.00%	÷1.030	×0.700	—	×1.008	10.27%
HBP% /PA	3.33%	—	×0.700	—	×1.008	2.35%
Singles /BIP	19.49%	÷1.031	×0.680	×0.970	×1.008	12.57%
Doubles /BIP	5.08%	÷1.138	×0.600	×0.970	×1.008	2.62%
Triples /BIP	0.00%	÷1.000	×0.600	×0.970	×1.008	0.00%
Home runs /BIP	2.54%	÷1.039	×0.470	—	×1.008	1.16%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 128, 3B 100, K 99, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .315 → .200; ISO .102 → .050; BABIP .252 → .154. 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 Athletics · 71 PAwOBA .381 → .280 (−101)K% 11.3% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.27%	÷0.959	×1.220	—	—	14.34%
BB% (unintentional) /PA	19.72%	÷1.020	×0.700	—	×1.022	13.83%
HBP% /PA	8.45%	—	×0.700	—	×1.022	6.05%
Singles /BIP	30.95%	÷1.004	×0.680	—	×1.022	21.44%
Doubles /BIP	2.38%	÷0.952	×0.600	—	×1.022	1.54%
Triples /BIP	0.00%	÷0.984	×0.600	—	×1.022	0.00%
Home runs /BIP	0.00%	÷0.902	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 101, 2B 90, 3B 97, K 92, BB 104 — 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).

Result: wOBA .381 → .280; ISO .020 → .014; BABIP .326 → .225. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.2	1,489	25	25	203	280	309	+27	+20	1.4	1.4
/162	664	11	11	+11.9	+8.9	0.6	pk7: 1
#4Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#5Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1
#6Mike Ryan'64-'74 * career totals — 9 seasons, 2,098 PA	3.2	2,098	28	4	196*	257*	311*	+38	+0	-1.9	-0.9
/162	664	9	1	+11.9	+0.0	-0.6	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
Cesar Gonzalez (OGILVIE)	22	20→25	34→39	46→51	58	189/271/276	87	264	2	2	29%	8%	58	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/293/300	81	280	8	4	23%	7%	72	-0.7	211/298/265	54	265	5	1	21%	8%	64	-0.3
✕Franklin Tineo 2017 · A	22	34	36→40	46→50	48	162/233/224	62	208	4	10	23%	8%	32	-3.7	181/263/263	82	249	5	10	27%	9%	52	-2.2	164/271/256	91	205	6	12	21%	11%	53	-0.9
✕Misael Urbina 2024 · A	22	35→32	39→40	47→50	44	172/248/261	89	251	6	9	32%	8%	46	-2.6	189/269/280	91	269	6	9	29%	9%	58	-1.7	182/269/271	88	253	6	9	28%	10%	53	-1.1
✕Steven Baron 2013 · A	22	39	41→45	50	37	194/232/294	100	263	8	10	29%	4%	46	-2.6	197/236/287	90	278	6	9	30%	5%	45	-2.7	236/292/311	74	314	4	8	24%	7%	69	-0.4
✕Frank Rodriguez 2024 · A	22	35	42→45	47→30	38	180/236/279	99	250	10	4	32%	5%	45	-2.7	188/246/274	86	257	8	4	29%	6%	47	-2.5	183/244/267	84	241	9	1	27%	6%	43	-0.9
✕Alexis Wilson 2019 · A	22	40	38→40	48→30	45	194/260/273	78	263	5	4	27%	8%	53	-2.1	219/269/310	91	281	9	5	24%	6%	63	-1.3	222/267/302	80	270	10	1	21%	5%	58	-0.6
✕Grae Kessinger 2021 · A	23	43→30	39→45	50	47	208/276/293	85	264	7	12	23%	8%	63	-1.4	192/262/298	106	257	12	15	29%	8%	59	-1.6	186/264/278	92	250	9	8	27%	8%	55	-0.8
✕Alex Mooney 2024 · A	22	41→39	39→40	53→55	44	196/263/283	87	261	6	12	26%	6%	56	-1.9	190/263/289	99	265	8	27	30%	7%	58	-1.7	182/255/278	96	255	8	30	30%	7%	51	-1.8
✕Blake Hunt 2021 · A	22	42	40→50	49→40	44	206/262/301	95	270	7	6	26%	6%	59	-1.6	193/252/308	115	279	11	4	33%	6%	58	-1.7	215/280/358	143	272	16	1	27%	7%	77	-0.1
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	178/253/255	77	262	8	14	33%	8%	47	-2.6	205/278/293	88	286	6	12	28%	9%	64	-1.3	205/285/293	88	279	5	13	26%	9%	65	-0.6
✕David Narodowski 2011 · A	22	37	39→40	42→45	47	184/261/266	82	248	8	7	28%	8%	52	-2.2	202/262/288	86	282	6	8	29%	7%	57	-1.8	189/242/263	74	261	4	7	28%	7%	40	-0.7
✕Elio Prado 2024 · A	22	40→37	42→40	46→50	45	199/275/302	103	259	10	9	26%	7%	65	-1.2	190/255/279	89	267	8	14	30%	7%	52	-2.2	168/233/235	68	243	6	17	32%	7%	32	-1.7
✕Yassel Pino 2024 · A	22	37	42→45	48→40	45	186/253/292	105	245	10	5	28%	8%	54	-2.0	208/263/318	110	276	11	8	28%	6%	64	-1.3	205/253/313	109	262	15	10	27%	5%	56	-0.5
✕Francisco Acuna 2022 · A	22	38→47	39→45	48→50	45	184/277/270	87	267	6	10	31%	8%	60	-1.6	204/274/301	97	277	7	11	27%	6%	65	-1.2	213/284/310	97	279	9	16	25%	7%	68	-0.5
✕Geovanny Planchart 2024 · A	22	41	37→40	49→40	48	192/274/268	75	279	4	5	30%	10%	57	-1.8	193/270/277	84	273	7	4	29%	9%	57	-1.8	164/246/241	76	224	8	0	29%	9%	39	-1.0
✕Connor Justus 2018 · A	23	39→37	38→40	46→45	45	188/271/264	76	269	5	9	30%	8%	55	-1.9	179/259/251	72	255	5	8	29%	8%	48	-2.5	163/242/223	60	236	4	6	30%	7%	33	-2.4
✕Jose D. Hernandez 2024 · A	21	38	39→45	47→45	49	183/269/272	89	233	6	8	23%	8%	57	-1.8	203/275/318	115	275	11	8	29%	7%	69	-0.9	170/260/288	119	235	15	5	33%	11%	53	-0.7
✕Max George 2018 · A	22	39	42→45	50→55	45	195/270/303	109	255	9	15	27%	7%	64	-1.3	188/271/296	108	261	10	20	30%	7%	63	-1.4	145/250/272	127	214	15	25	38%	9%	49	-1.2
✕Andy Paz 2015 · A	22	37	38→40	45	45	183/243/257	74	248	5	5	28%	7%	42	-2.9	217/271/283	66	297	4	6	26%	7%	58	-1.7	245/291/294	49	311	2	7	21%	6%	64	-0.4
✕Ricardo Valencia 2015 · A	22	40	38→40	49→30	47	192/266/275	83	256	6	5	26%	8%	55	-1.9	208/270/299	91	294	8	4	30%	7%	62	-1.4	198/250/284	87	293	8	0	34%	6%	50	-0.8

Cesar Gonzalez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps