Kody Hoese

3B Oklahoma City Comets

Age 30 R/R 6'2" / 200 lbs AAA HR +8%BB -8% Svc 0.0 · Ctrl thru 2034

Overview

AAAPROSPECTMiLBFA 2035

OGV OFP35OGV rank#2057MLB%10%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	26	AALAD	383	.244/.307/.390	11	1	57	—	.205/.253/.315
2024	27	AAAOklahoma City…	525	.287/.363/.474	17	1	93	—	.249/.305/.396
2025	28	AAALAD	403	.264/.360/.411	8	1	78	—	.234/.298/.349
2027PROJ10% MLB	30	MLBLAD	16	.234/.297/.360	0	0	88	0.0
2028PROJ27% MLB	31	MLBLAD	55	.230/.293/.352	1	0	84	-0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Ext$0.8M2030Ext$0.8M2031Ext$0.9M2032Ext$3M2033Ext$5M2034Ext$7M

Skills · percentileMiLB Statcast 2025 AAA

Z-Con%87

Whiff%85

BB%69

K%68

Chase%61

Max EV55

CompsPedro Severino (age 30) · Elias Díaz (age 30) · P.J. Higgins (age 30)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†88

AVG/OBP/SLG.234 / .297 / .360

PA16

HR0

K%25

BB%6

BABIP288

ISO67

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 55 / POW 45

Toolsscout grade

CONTACT55

scouting grade only

POWER45

scouting grade only

EYE55

scouting grade only

SPEED45

scouting grade only

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	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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)
2019	22	A	Great Lakes Loons	—	103	91	24	3	1	2	8	14	2	0	0	264	337	385	721	121	286	14	8	320	63	—	—	—	—	—	—
2019	22	ROK	AZL Dodgers Mota	—	68	56	20	5	1	3	10	11	1	1	0	357	463	643	1.106	286	395	16	15	470	115	—	—	—	—	—	—
2021	24	AA	Tulsa Drillers	—	249	229	43	7	0	2	15	55	2	2	2	188	244	245	488	57	234	22	6	224	11	—	—	—	—	—	—
2021	24	ROK	ACL Dodgers	—	34	31	8	1	0	0	2	4	0	0	0	258	303	290	593	32	286	12	6	265	20	—	—	—	—	—	—
2021	24	INTL	Glendale Desert Dogs	—	60	55	11	1	0	2	3	17	1	0	0	200	254	327	582	127	243	28	5	259	61	—	—	—	—	—	—
2022	25	AA	Tulsa Drillers	—	313	289	67	10	2	5	20	76	1	1	1	232	284	332	616	100	294	24	6	276	38	—	—	—	—	—	—
2023	26	AA	Tulsa Drillers	—	383	344	84	11	3	11	26	71	5	1	0	244	307	390	696	145	270	19	7	306	57	—	—	—	—	—	—
2024	27	AAA	Oklahoma City Baseball Club	—	525	464	133	32	2	17	52	104	4	1	1	287	363	474	837	188	334	20	10	368	93	—	—	—	—	—	—
2025	28	AAA	Oklahoma City Comets	—	403	348	92	25	1	8	50	78	2	1	0	264	360	411	771	147	317	19	12	345	78	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	22	A MLE	Great Lakes Loons	—	103	94	22	3	1	2	5	18	2	0	0	234	287	351	638	117	246	17	5	261	63	—	—	—	—	—	—
2019	22	ROK MLE	AZL Dodgers Mota	—	68	60	16	4	1	2	6	16	1	1	0	267	343	467	810	200	298	24	9	338	115	—	—	—	—	—	—
2021	24	AA MLE	Tulsa Drillers	—	249	234	39	6	0	2	10	69	2	2	2	167	207	218	425	51	215	28	4	185	11	—	—	—	—	—	—
2021	24	ROK MLE	ACL Dodgers	—	34	32	6	1	0	0	1	6	0	0	0	188	212	219	431	31	223	18	3	198	20	—	—	—	—	—	—
2022	25	AA MLE	Tulsa Drillers	—	313	295	59	8	2	4	14	95	1	1	1	200	239	281	520	81	268	30	4	225	38	—	—	—	—	—	—
2023	26	AA MLE	Tulsa Drillers	—	383	352	72	9	3	8	18	85	5	1	0	205	253	315	569	111	235	22	5	252	57	—	—	—	—	—	—
2024	27	AAA MLE	Oklahoma City Baseball Club	—	525	482	120	28	2	13	35	126	4	1	1	249	305	396	701	147	305	24	7	306	93	—	—	—	—	—	—
2025	28	AAA MLE	Oklahoma City Comets	—	403	367	86	22	1	6	31	92	2	1	0	234	297	349	646	114	290	23	8	284	78	—	—	—	—	—	—
2019	22	A MLE	2 teams	—	171	154	37	6	2	4	11	34	3	1	0	240	304	383	687	143	277	20	6	292	84	—	—	—	—	—	—
2019	22	A RAW	2 teams	—	171	147	44	8	2	5	18	25	3	1	0	299	387	483	870	184	325	15	11	380	84	—	—	—	—	—	—
2021	24	AA MLE	3 teams	—	343	321	54	8	0	2	14	91	3	2	2	168	210	212	422	44	223	27	4	187	12	—	—	—	—	—	—
2021	24	AA RAW	3 teams	—	343	315	62	9	0	4	20	76	3	2	2	197	251	263	515	67	242	22	6	234	12	—	—	—	—	—	—
2022	25	AA MLE	Tulsa Drillers	—	313	295	59	8	2	4	14	95	1	1	1	200	239	281	520	81	276	30	4	225	38	—	—	—	—	—	—
2022	25	AA RAW	Tulsa Drillers	—	313	289	67	10	2	5	20	76	1	1	1	232	284	332	616	100	294	24	6	276	38	—	—	—	—	—	—
2023	26	AA MLE	Tulsa Drillers	—	383	352	72	9	3	8	18	85	5	1	0	205	253	315	569	111	240	22	5	252	57	—	—	—	—	—	—
2023	26	AA RAW	Tulsa Drillers	—	383	344	84	11	3	11	26	71	5	1	0	244	307	390	696	145	270	19	7	306	57	—	—	—	—	—	—
2024	27	AAA MLE	Oklahoma City Baseball Club	—	525	482	120	28	2	13	35	126	4	1	1	249	305	396	701	147	308	24	7	306	93	—	—	—	—	—	—
2024	27	AAA RAW	Oklahoma City Baseball Club	—	525	464	133	32	2	17	52	104	4	1	1	287	363	474	837	188	334	20	10	368	93	—	—	—	—	—	—
2025	28	AAA MLE	Oklahoma City Comets	—	403	367	86	22	1	6	31	92	2	1	0	234	297	349	646	114	294	23	8	284	78	—	—	—	—	—	—
2025	28	AAA RAW	Oklahoma City Comets	—	403	348	92	25	1	8	50	78	2	1	0	264	360	411	771	147	317	19	12	345	78	—	—	—	—	—	—
2019	22	A MLE	2 teams	—	171	155	37	6	2	4	11	34	3	1	0	239	304	381	684	142	267	20	6	292	84	—	—	—	—	—	—
2021	24	AA MLE	3 teams	—	343	323	54	8	0	2	14	91	3	2	2	167	210	211	421	43	216	27	4	187	12	—	—	—	—	—	—
2022	25	AA MLE	Tulsa Drillers	—	313	295	59	8	2	4	14	95	1	1	1	200	239	281	520	81	268	30	4	225	38	—	—	—	—	—	—
2023	26	AA MLE	Tulsa Drillers	—	383	357	72	9	3	8	18	85	5	1	0	202	253	311	564	109	235	22	5	252	57	—	—	—	—	—	—
2024	27	AAA MLE	Oklahoma City Baseball Club	—	525	481	120	28	2	13	35	126	4	1	1	249	305	397	702	148	305	24	7	306	93	—	—	—	—	—	—
2025	28	AAA MLE	Oklahoma City Comets	—	403	367	86	22	1	6	31	92	2	1	0	234	297	349	646	114	290	23	8	284	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	27	AAA MLE	Oklahoma City Baseball Club	—	525	481	120	28	2	13	35	126	4	1	1	249	305	397	702	148	305	24	7	306	93	—	—	—	—	—	—
2025	28	AAA MLE	Oklahoma City Comets	—	403	367	86	22	1	6	31	92	2	1	0	234	297	349	646	114	290	23	8	284	78	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	30	MLB MLE	LAD	10%	380	346	81	19	1	7	29	87	2	3	1	238	301	365	666	128	295	23	8	298	88	-6	+0	+0	+1	+8	0.2
▸ 2027 — real world (MLB)
2027	30	MLB CTX	LAD	10%	16	15	3	1	0	0	1	4	0	0	0	234	297	360	656	126	288	25	6	294	88	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	31	MLB MLE	LAD	27%	200	182	43	10	1	4	15	47	1	0	0	234	297	358	654	123	291	24	8	293	84	-4	+0	-3	+1	+4	-0.2
2028	31	MLB CTX	LAD	27%	55	51	12	3	0	1	4	13	0	0	0	230	293	352	645	122	285	24	7	289	84	-1	+0	-1	+0	+1	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	55	51	12	3	0	1	4	13	0	0	0	235	291	353	644	118	297	24	7	289	65	-1	+0	-1	+0	+1	-0.0
/ 162G	—	A+C		—	650	603	142	35	0	12	47	154	0	0	0	235	291	353	644	118	297	24	7	289	65	-12	+0	-9	+2	+14	-0.5
Career	—	MLE		—	2493	2294	505	99	12	44	150	606	20	8	4	220	274	331	605	111	276	24	6	265	65	-6	+0	-3	+1	+8	0.0
/ 162G	—	MLE		—	650	598	131	26	3	11	39	158	5	2	1	219	272	328	600	109	275	24	6	265	65	-11	+0	-5	+2	+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.

2025 AAAOklahoma City Comets · 403 PAwOBA .339 → .284 (−55)K% 19.4% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.35%	÷1.015	×1.200	—	—	22.88%
BB% (unintentional) /PA	12.41%	÷1.083	×0.690	—	×0.992	7.84%
HBP% /PA	0.50%	—	×0.940	—	×0.992	0.46%
Singles /BIP	21.48%	÷0.951	×0.930	×0.988	×0.992	20.58%
Doubles /BIP	9.26%	÷0.969	×0.830	×0.988	×0.992	7.78%
Triples /BIP	0.37%	÷1.150	×0.970	×0.988	×0.992	0.31%
Home runs /BIP	2.96%	÷0.956	×0.700	—	×0.992	2.15%

Factors used: league row International League. Park (home-season share, regressed): HR 91, 1B 90, 2B 94, 3B 130, K 103, BB 117 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .339 → .284; ISO .147 → .118; BABIP .317 → .290. 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 AAAOklahoma City Baseball Club · 525 PAwOBA .361 → .306 (−55)K% 19.8% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.81%	÷0.990	×1.200	—	—	24.00%
BB% (unintentional) /PA	9.90%	÷1.021	×0.690	—	×1.003	6.71%
HBP% /PA	0.76%	—	×0.940	—	×1.003	0.72%
Singles /BIP	22.78%	÷0.977	×0.930	×0.985	×1.003	21.42%
Doubles /BIP	8.89%	÷0.930	×0.830	×0.985	×1.003	7.84%
Triples /BIP	0.56%	÷1.126	×0.970	×0.985	×1.003	0.47%
Home runs /BIP	4.72%	÷0.896	×0.700	—	×1.003	3.70%

Factors used: league row International League. Park (home-season share, regressed): HR 79, 1B 95, 2B 86, 3B 125, K 98, BB 104 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .361 → .306; ISO .188 → .154; BABIP .334 → .305. 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 AATulsa Drillers · 383 PAwOBA .304 → .252 (−51)K% 18.5% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.54%	÷1.023	×1.220	—	—	22.10%
BB% (unintentional) /PA	6.79%	÷0.973	×0.700	—	×0.988	4.82%
HBP% /PA	1.31%	—	×0.870	—	×0.988	1.12%
Singles /BIP	21.61%	÷0.992	×0.920	×0.960	×0.988	19.01%
Doubles /BIP	4.03%	÷0.942	×0.840	×0.960	×0.988	3.41%
Triples /BIP	1.10%	÷0.900	×0.940	×0.960	×0.988	1.09%
Home runs /BIP	4.03%	÷1.083	×0.800	—	×0.988	2.94%

Factors used: league row TL. Park (home-season share, regressed): HR 117, 1B 98, 2B 88, 3B 80, K 105, BB 95 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .304 → .252; ISO .145 → .115; BABIP .270 → .235. 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 AATulsa Drillers · 313 PAwOBA .271 → .225 (−47)K% 24.3% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.28%	÷0.971	×1.220	—	—	30.51%
BB% (unintentional) /PA	6.39%	÷0.975	×0.700	—	×0.998	4.58%
HBP% /PA	0.32%	—	×0.870	—	×0.998	0.28%
Singles /BIP	23.47%	÷0.953	×0.920	×0.980	×0.998	22.15%
Doubles /BIP	4.69%	÷1.006	×0.840	×0.980	×0.998	3.83%
Triples /BIP	0.94%	÷1.150	×0.940	×0.980	×0.998	0.75%
Home runs /BIP	2.35%	÷0.993	×0.800	—	×0.998	1.89%

Factors used: league row TL. Park (home-season share, regressed): HR 99, 1B 91, 2B 101, 3B 130, K 94, BB 95 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .271 → .225; ISO .100 → .077; BABIP .294 → .268. 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).

2021 AATulsa Drillers · 249 PAwOBA .221 → .185 (−36)K% 22.1% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.09%	÷0.966	×1.220	—	—	27.89%
BB% (unintentional) /PA	6.02%	÷1.051	×0.690	—	×1.012	4.00%
HBP% /PA	0.80%	—	×0.850	—	×1.012	0.69%
Singles /BIP	19.54%	÷1.030	×0.940	×1.008	×1.012	18.19%
Doubles /BIP	4.02%	÷1.026	×0.870	×1.008	×1.012	3.48%
Triples /BIP	0.00%	÷0.900	×0.920	×1.008	×1.012	0.00%
Home runs /BIP	1.15%	÷0.935	×0.780	—	×1.012	0.97%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 106, 2B 105, 3B 80, K 93, BB 110 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .221 → .185; ISO .057 → .047; BABIP .234 → .215. 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).

2021 ROKACL Dodgers · 34 PAwOBA .266 → .198 (−68)K% 11.8% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷0.973	×1.440	—	—	17.41%
BB% (unintentional) /PA	5.88%	÷1.007	×0.620	—	×0.955	3.46%
HBP% /PA	0.00%	—	×0.720	—	×0.955	0.00%
Singles /BIP	25.93%	÷0.996	×0.820	—	×0.955	20.39%
Doubles /BIP	3.70%	÷0.942	×0.720	—	×0.955	2.70%
Triples /BIP	0.00%	÷1.150	×0.720	—	×0.955	0.00%
Home runs /BIP	0.00%	÷1.068	×0.780	—	×0.955	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 99, 2B 88, 3B 130, K 95, BB 101 — applied at half strength. Age: age 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .266 → .198; ISO .032 → .023; BABIP .286 → .223. 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).

2019 AGreat Lakes Loons · 103 PAwOBA .318 → .261 (−57)K% 13.6% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.59%	÷1.035	×1.360	—	—	17.86%
BB% (unintentional) /PA	7.77%	÷1.031	×0.690	—	—	5.20%
HBP% /PA	1.94%	—	×0.780	—	—	1.51%
Singles /BIP	23.38%	÷1.002	×0.920	×0.950	—	20.38%
Doubles /BIP	3.90%	÷0.934	×0.830	×0.950	—	3.29%
Triples /BIP	1.30%	÷1.061	×0.910	×0.950	—	1.06%
Home runs /BIP	2.60%	÷1.018	×0.800	—	—	2.04%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 100, 2B 87, 3B 112, K 107, BB 106 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .318 → .261; ISO .121 → .098; BABIP .286 → .246. 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).

2019 ROKAZL Dodgers Mota · 68 PAwOBA .464 → .338 (−127)K% 16.2% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.18%	÷1.000	×1.440	—	—	23.29%
BB% (unintentional) /PA	14.71%	÷1.000	×0.620	—	×0.975	8.89%
HBP% /PA	1.47%	—	×0.720	—	×0.975	1.03%
Singles /BIP	24.44%	÷1.000	×0.820	—	×0.975	19.54%
Doubles /BIP	11.11%	÷1.000	×0.720	—	×0.975	7.80%
Triples /BIP	2.22%	÷1.000	×0.720	—	×0.975	1.56%
Home runs /BIP	6.67%	÷1.000	×0.780	—	×0.975	5.07%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .464 → .338; ISO .286 → .212; BABIP .395 → .298. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

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
Kody Hoese (OGILVIE)	30	55	45	45	55	236/298/362	126	295	3	1	23%	8%	88	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Pedro Severino 2023 · MLB	30	50→49	47→50	49→45	46	248/306/380	132	316	14	5	26%	7%	94	+0.9	224/280/354	130	280	14	11	25%	7%	78	-0.3	192/244/301	110	234	13	13	24%	6%	49	-1.1
✕Elias Díaz 2021 · MLB	30	51→59	44→50	44→45	49	249/304/360	111	287	11	3	18%	7%	88	+0.5	236/293/387	151	270	18	2	19%	7%	91	+0.7	236/292/382	147	273	17	0	20%	7%	91	+0.5
✕P.J. Higgins 2023 · MLB	30	51→54	46→45	49→40	50	249/324/388	139	320	13	5	25%	9%	103	+1.5	227/282/338	111	299	10	3	26%	7%	75	-0.5	212/261/304	93	278	9	0	26%	5%	57	-1.4
✕Curt Casali 2019 · MLB	30	47	45→50	38→30	47	235/297/355	120	288	13	3	23%	7%	85	+0.2	238/316/395	157	299	19	5	26%	9%	102	+1.5	217/309/355	139	284	17	0	28%	11%	90	+0.2
✕Gerald Laird 2009 · MLB	29	50→47	45→50	42→50	46	247/300/376	128	293	12	6	20%	6%	91	+0.6	226/291/334	108	263	9	7	17%	7%	78	-0.3	262/328/360	98	303	6	3	14%	8%	98	+0.3
✕Kevin Plawecki 2022 · MLB	31	54→59	44→45	47→30	50	264/327/385	121	301	12	5	16%	7%	103	+1.5	233/294/335	102	278	9	3	19%	7%	79	-0.2	216/275/308	92	258	8	0	19%	7%	64	-0.6
✕Andrew Knizner 2024 · MLB	29	45	49→50	46→40	47	229/296/370	141	274	17	5	23%	7%	88	+0.5	230/299/355	125	276	13	5	21%	7%	86	+0.3	226/301/342	116	269	12	2	20%	7%	83	+0.0
✕David Freitas 2019 · MLB	30	52→60	43→45	48→40	46	251/304/367	115	305	9	3	20%	6%	90	+0.6	261/325/388	127	315	13	4	20%	8%	103	+1.5	257/318/373	116	309	13	0	20%	7%	95	+0.3
✕Tim Federowicz 2019 · MLB	31	46→51	47→50	49→40	43	232/282/367	136	297	14	5	27%	6%	82	-0.0	205/258/332	127	273	15	6	29%	7%	65	-1.2	160/212/265	105	214	15	2	32%	6%	31	-1.5
✕John Mayberry Jr. 2014 · MLB	30	47→48	50→55	45→50	46	238/294/400	161	283	18	7	23%	7%	94	+0.9	215/283/374	159	261	17	6	24%	8%	85	+0.2	182/261/344	162	214	18	2	24%	9%	70	-0.3
✕Steve Holm 2009 · MLB	29	47	46→50	43→40	50	234/308/364	130	275	13	5	20%	8%	92	+0.7	209/272/314	105	258	9	4	22%	7%	66	-1.1	184/245/274	89	232	7	1	23%	6%	47	-1.0
✕Brett Nicholas 2018 · MLB	30	48→50	46→50	43→40	40	238/279/366	127	295	13	4	24%	5%	80	-0.1	227/275/359	132	285	14	5	25%	6%	78	-0.3	213/264/342	129	263	15	1	25%	6%	67	-0.8
✕Rob Johnson 2012 · MLB	30	43→53	42→45	48→50	49	208/284/316	108	267	8	7	24%	8%	72	-0.7	205/259/318	113	248	12	6	22%	6%	62	-1.4	188/235/289	101	222	11	3	20%	5%	45	-1.1
✕Brian Hernandez 2019 · AAA	30	53→59	42→45	42→40	44	256/299/358	102	309	9	5	20%	5%	86	+0.3	263/304/379	116	297	11	5	15%	5%	93	+0.8	282/318/393	111	313	10	1	13%	5%	97	+0.9
✕Jose Castillo 2011 · MLB	30	49→57	45→50	48→50	48	242/294/377	135	281	12	7	19%	7%	88	+0.5	274/306/403	129	289	15	14	11%	4%	99	+1.2	283/310/415	132	298	16	13	11%	3%	102	+1.0
✕Conor Gillaspie 2017 · MLB	30	51→58	47→50	42→40	46	254/294/399	145	284	13	4	16%	5%	94	+0.9	233/278/362	129	258	13	9	15%	5%	79	-0.2	210/246/300	89	231	7	8	12%	4%	50	-0.8
✕Andy González 2012 · AAA	30	48→54	42→40	47→50	50	231/299/330	100	287	9	6	22%	9%	80	-0.1	209/281/318	109	252	11	6	21%	9%	71	-0.8	193/269/298	105	228	11	4	20%	9%	61	-1.3
✕Mark Minicozzi 2013 · AA	30	48→55	44→45	42→40	45	236/293/357	121	304	12	4	26%	7%	84	+0.1	244/307/359	115	329	12	3	28%	8%	90	+0.6	242/310/354	112	323	12	1	27%	8%	87	+0.3
✕Kevan Smith 2020 · MLB	32	53→54	44→50	49→40	48	259/314/378	119	292	12	5	16%	6%	97	+1.1	229/296/348	119	289	11	7	23%	8%	83	+0.1	162/217/192	30	235	0	0	29%	7%	17	-0.8
✕Austin Wynns 2022 · MLB	31	44→51	45	48→40	46	221/280/340	119	261	14	6	22%	7%	76	-0.4	238/302/348	110	299	11	5	23%	7%	85	+0.2	237/301/332	94	305	9	2	24%	7%	80	-0.1