Joshua Kuroda-Grauer

2B Las Vegas Aviators

Age 24 R/R 5'10" / 205 lbs AAA HR -5% Svc 0.529 · Ctrl thru 2032

Overview

AAA40-MANROOKIEPre-ArbFA 2033

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	21	A+/AOAK	113	.344/.442/.365	0	5	106	—	.312/.398/.333
2025	22	AA/A+/INTL2 orgs	614	.301/.366/.384	2	34	78	—	.252/.304/.309
2026	23	AAA/AAOAK	375	.321/.368/.474	7	15	113	—	.302/.339/.435
2026	23	MLBOAK	74	.366/.392/.507	1	0	146	0.7
2027PROJ45% MLB	24	MLBOAK	70	.289/.329/.407	1	2	100	0.2
2028PROJ59% MLB	25	MLBOAK	313	.289/.331/.414	5	8	103	1.0
2029PROJ65% MLB	26	MLBOAK	384	.288/.332/.417	6	10	104	1.3

Last 3 seasons WAR 0.7 · Next 3 projected WAR 2.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.529First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$5M2031Arb-2$8M2032Arb-3$10M

Skills · percentileMiLB Statcast 2026 AAA

K%97

Whiff%96

Z-Con%96

Speed87

Max EV76

BB%23

Career WAR0.8 WAR median (P10 -0.7 / P90 29, comp-based) · star 14% · didn't stick 60%

CompsOsleivis Basabe (age 23) · Johnny Giavotella (age 25) · Otto Lopez (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†100

AVG/OBP/SLG.289 / .329 / .407

PA70

HR1

K%11

BB%4

BABIP318

ISO106

MLB%45%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$22M ctrl surplus

Tools · Contract

ToolsStatcast %ile · 2026

CONTACT

xAVG

900.296

POWER

Barrel%

101.6

Avg EV

5289.3

SPEED

Sprint

5827.8

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2026

Service 0.529 yrs.days

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.3	$1M	+$0.5M
2028	Pre-Arb	$0.8M	+1.0	$7M	+$7M
2029	Pre-Arb	$0.8M	+1.3	$9M	+$8M
2030	Arb-1	$5M	+1.3	$8M	+$4M
2031	Arb-2	$8M	+1.1	$6M	+$1M
2032	Arb-3	$10M	+0.9	$2M	+$0.0M (cut)
Totals		$16M		$35M	+$21M

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	21	A+	Lansing Lugnuts	—	50	42	12	2	0	0	5	3	3	1	1	286	400	333	733	48	308	6	10	346	85	—	—	—	—	—	—
2024	21	A	Stockton Ports	—	63	54	21	0	0	0	7	5	2	4	1	389	476	389	865		429	8	11	403	122	—	—	—	—	—	—
2025	22	AA	Midland RockHounds	—	183	163	49	9	0	2	14	12	5	1	0	301	374	393	766	92	313	7	8	347	93	—	—	—	—	—	—
2025	22	A+	Lansing Lugnuts	—	366	334	98	21	1	0	26	37	5	26	6	293	353	362	716	69	330	10	7	326	56	—	—	—	—	—	—
2025	22	INTL	Mesa Solar Sox	—	65	58	20	6	1	0	5	7	2	7	0	345	415	483	898	138	392	11	8	401	157	—	—	—	—	—	—
2026	23	MLB	Athletics	—	74	71	26	7	0	1	2	10	1	0	1	366	392	507	899	141	417	14	3	399	146	+4	-0	+0	+2	+2	0.7
2026	23	AAA	Las Vegas Aviators	—	225	202	70	13	3	1	17	16	3	4	1	347	405	455	861	109	367	7	8	381	130	—	—	—	—	—	—
2026	23	AA	Midland RockHounds	—	150	144	41	11	1	6	5	15	1	11	3	285	313	500	813	215	285	10	3	355	87	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	74	71	26	7	0	1	2	10	1	0	1	366	392	507	899	141	417	14	3	399	156	+5	-0	+0	+2	+2	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A+ MLE	Lansing Lugnuts	—	50	43	11	2	0	0	4	4	3	1	1	256	360	302	662	47	277	8	8	294	85	—	—	—	—	—	—
2024	21	A MLE	Stockton Ports	—	63	56	20	0	0	0	5	7	2	4	1	357	429	357	786		399	11	8	349	122	—	—	—	—	—	—
2025	22	AA MLE	Midland RockHounds	—	183	167	47	7	0	2	10	15	5	1	0	281	341	359	700	78	294	8	5	305	93	—	—	—	—	—	—
2025	22	A+ MLE	Lansing Lugnuts	—	366	342	81	14	1	0	18	48	5	26	6	237	285	284	569	47	273	13	5	251	56	—	—	—	—	—	—
2026	23	MLB MLE	Athletics	—	74	71	25	6	0	1	2	10	1	0	1	352	378	479	857	127	417	14	3	384	146	+4	-0	+0	+2	+2	0.7
2026	23	AAA MLE	Las Vegas Aviators	—	225	207	70	12	3	1	12	19	3	4	1	338	383	440	822	101	361	8	5	360	130	—	—	—	—	—	—
2026	23	AA MLE	Midland RockHounds	—	150	145	36	9	1	5	4	18	1	11	3	248	273	428	701	179	257	12	3	297	87	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	113	99	31	2	0	0	9	11	5	5	2	313	398	333	732	20	352	10	8	325	106	—	—	—	—	—	—
2024	21	A RAW	2 teams	—	113	96	33	2	0	0	12	8	5	5	2	344	442	365	807	21	375	7	11	378	106	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	614	569	143	24	1	2	31	71	12	34	6	251	304	308	611	56	284	12	5	269	68	—	—	—	—	—	—
2025	22	A+ RAW	3 teams	—	614	555	167	36	2	2	45	56	12	34	6	301	366	384	750	83	331	9	7	340	68	—	—	—	—	—	—
2026	23	AAA MLE	3 teams	—	449	423	132	27	4	7	18	47	5	15	5	312	348	444	792	132	336	10	4	343	118	—	—	—	—	—	—
2026	23	AAA RAW	3 teams	—	449	417	137	31	4	8	24	41	5	15	5	329	372	480	852	151	348	9	5	375	118	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	113	98	31	2	0	0	9	11	5	5	2	316	398	337	735	20	345	10	8	325	106	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	614	566	143	24	1	2	31	71	12	34	6	253	304	309	613	57	280	12	5	269	68	—	—	—	—	—	—
2026	23	AAA MLE	3 teams	—	449	423	132	27	4	7	18	47	5	15	5	312	348	444	792	132	335	10	4	343	118	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	21	A MLE	2 teams	—	113	98	31	2	0	0	9	11	5	5	2	316	398	337	735	20	345	10	8	325	106	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	614	566	143	24	1	2	31	71	12	34	6	253	304	309	613	57	280	12	5	269	68	—	—	—	—	—	—
2026	23	AAA MLE	3 teams	—	449	423	132	27	4	7	18	47	5	15	5	312	348	444	792	132	335	10	4	343	118	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	OAK	45%	380	355	101	20	3	5	17	45	5	10	2	281	321	391	712	111	308	12	4	317	100	+0	+1	+0	+1	+8	0.7
▸ 2027 — real world (MLB)
2027	24	MLB CTX	OAK	45%	70	66	19	4	0	1	3	8	1	2	0	289	329	407	736	117	318	11	4	326	100	+0	+0	+0	+0	+2	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	OAK	59%	532	495	138	27	3	8	25	66	7	14	3	281	323	399	722	118	307	12	5	320	103	+2	+2	+1	+2	+12	1.8
2029	26	MLB MLE	OAK	65%	589	548	154	30	4	10	29	76	7	15	4	279	324	402	726	123	307	13	5	322	104	+3	+1	+1	+2	+13	2.0
2030	27	MLB MLE	OAK	67%	566	525	146	28	4	10	29	76	7	14	3	277	323	400	722	123	306	13	5	321	103	+2	+2	+1	+2	+12	1.9
2031	28	MLB MLE	OAK	67%	551	511	140	27	3	10	29	78	6	11	3	274	321	396	717	122	305	14	5	318	102	+1	+1	-0	+2	+12	1.6
2032	29	MLB MLE	OAK	66%	536	496	134	26	3	9	29	80	6	9	3	270	318	391	709	121	303	15	5	315	99	-0	+1	-1	+2	+12	1.3
2033	30	MLB MLE	OAK	65%	521	482	129	25	3	8	28	79	6	6	2	268	315	384	699	116	302	15	5	311	97	-2	+0	-2	+2	+11	1.0
2034	31	MLB MLE	OAK	65%	506	470	125	24	3	8	26	79	5	3	2	264	310	375	685	111	300	16	5	305	93	-4	-0	-2	+2	+11	0.6
2035	32	MLB MLE	OAK	65%	279	260	67	13	1	4	14	45	3	1	1	258	304	363	666	104	297	16	5	298	87	-4	-0	-3	+1	+6	-0.1
2036	33	MLB MLE	OAK	64%	244	228	58	11	1	3	12	41	2	1	0	252	296	348	644	96	292	17	5	288	81	-5	+0	-4	+1	+5	-0.3
2028	25	MLB CTX	OAK	59%	313	291	85	18	2	5	15	39	4	8	2	289	331	414	745	125	318	12	5	330	103	+1	+1	+0	+1	+7	1.0
2029	26	MLB CTX	OAK	65%	384	357	103	22	3	6	19	50	5	10	2	288	332	417	748	129	317	13	5	331	104	+2	+1	+0	+1	+8	1.3
2030	27	MLB CTX	OAK	67%	376	350	100	21	3	6	19	51	4	9	2	285	330	414	745	129	316	14	5	330	103	+1	+1	+0	+1	+8	1.3
2031	28	MLB CTX	OAK	67%	370	344	97	21	2	6	19	52	4	8	2	282	328	410	739	128	315	14	5	327	102	+1	+1	-0	+1	+8	1.1
2032	29	MLB CTX	OAK	66%	354	328	91	19	2	6	19	53	4	6	2	278	326	405	731	127	314	15	5	324	99	-0	+0	-1	+1	+8	0.9
2033	30	MLB CTX	OAK	65%	340	315	86	18	2	5	18	52	4	4	1	276	322	398	720	122	312	15	5	320	97	-1	+0	-1	+1	+7	0.7
2034	31	MLB CTX	OAK	65%	328	305	83	17	2	5	17	51	3	2	1	272	317	388	706	117	310	16	5	314	93	-3	+0	-1	+1	+7	0.4
2035	32	MLB CTX	OAK	65%	180	167	44	9	1	2	9	29	2	1	0	266	311	376	687	110	306	16	5	306	87	-3	+0	-2	+1	+4	0.0
2036	33	MLB CTX	OAK	64%	157	147	39	8	1	2	8	26	1	1	0	260	303	361	664	101	302	17	5	296	81	-4	+0	-3	+1	+3	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2876	2675	754	160	18	44	145	413	32	49	13	282	326	404	731	123	318	14	5	324	97	-1	+5	-6	+12	+62	7.3
/ 162G	—	A+C		—	650	605	170	36	4	10	33	93	7	11	3	281	326	403	729	122	316	14	5	324	97	-0	+1	-1	+3	+14	1.7
Career	—	MLE		—	5655	5251	1438	272	31	81	286	768	73	132	35	274	320	384	704	110	306	14	5	311	97	-4	+6	-10	+18	+99	11.2
/ 162G	—	MLE		—	650	604	165	31	4	9	33	88	8	15	4	273	319	382	702	109	306	14	5	311	97	-1	+1	-1	+3	+14	1.6

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 AAALas Vegas Aviators · 225 PAwOBA .376 → .360 (−16)K% 7.1% → 8.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.11%	÷1.000	×1.200	—	—	8.53%
BB% (unintentional) /PA	7.56%	÷1.000	×0.690	—	×1.050	5.47%
HBP% /PA	1.33%	—	×0.940	—	×1.050	1.32%
Singles /BIP	28.49%	÷1.000	×0.930	×1.027	×1.050	28.57%
Doubles /BIP	6.99%	÷1.000	×0.830	×1.027	×1.050	6.25%
Triples /BIP	1.61%	÷1.000	×0.970	×1.027	×1.050	1.69%
Home runs /BIP	0.54%	÷1.000	×0.700	—	×1.050	0.40%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .376 → .360; ISO .109 → .102; BABIP .367 → .361. 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 AAMidland RockHounds · 150 PAwOBA .345 → .297 (−47)K% 10.0% → 12.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷1.000	×1.220	—	—	12.20%
BB% (unintentional) /PA	3.33%	÷1.000	×0.700	—	×1.027	2.40%
HBP% /PA	0.67%	—	×0.870	—	×1.027	0.60%
Singles /BIP	17.83%	÷1.000	×0.920	×0.992	×1.027	16.71%
Doubles /BIP	8.53%	÷1.000	×0.840	×0.992	×1.027	7.30%
Triples /BIP	0.78%	÷1.000	×0.940	×0.992	×1.027	0.74%
Home runs /BIP	4.65%	÷1.000	×0.800	—	×1.027	3.82%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 24.8 → +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 .345 → .297; ISO .215 → .179; BABIP .285 → .257. 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 A+Lansing Lugnuts · 366 PAwOBA .317 → .251 (−66)K% 10.1% → 13.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.11%	÷0.969	×1.270	—	—	13.25%
BB% (unintentional) /PA	7.10%	÷1.048	×0.710	—	×1.012	4.87%
HBP% /PA	1.37%	—	×0.790	—	×1.012	1.09%
Singles /BIP	25.59%	÷1.078	×0.920	×1.003	×1.012	22.17%
Doubles /BIP	7.07%	÷1.199	×0.810	×1.003	×1.012	4.85%
Triples /BIP	0.34%	÷1.150	×0.850	×1.003	×1.012	0.25%
Home runs /BIP	0.00%	÷0.921	×0.800	—	×1.012	0.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 84, 1B 116, 2B 140, 3B 130, K 94, BB 110 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .317 → .251; ISO .069 → .047; BABIP .330 → .273. 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 AAMidland RockHounds · 183 PAwOBA .340 → .305 (−35)K% 6.6% → 8.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.56%	÷0.988	×1.220	—	—	8.10%
BB% (unintentional) /PA	7.65%	÷1.078	×0.700	—	×1.042	5.18%
HBP% /PA	2.73%	—	×0.870	—	×1.042	2.48%
Singles /BIP	25.17%	÷1.012	×0.920	×1.030	×1.042	24.53%
Doubles /BIP	5.96%	÷1.131	×0.840	×1.030	×1.042	4.75%
Triples /BIP	0.00%	÷1.150	×0.940	×1.030	×1.042	0.00%
Home runs /BIP	1.32%	÷1.043	×0.800	—	×1.042	1.06%

Factors used: league row TL. Park (home-season share, regressed): HR 109, 1B 102, 2B 126, 3B 130, K 98, BB 116 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .340 → .305; ISO .092 → .075; BABIP .313 → .294. 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 AStockton Ports · 63 PAwOBA .393 → .349 (−44)K% 7.9% → 10.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.94%	÷1.015	×1.360	—	—	10.63%
BB% (unintentional) /PA	11.11%	÷1.021	×0.690	—	×1.015	7.62%
HBP% /PA	3.17%	—	×0.780	—	×1.015	2.51%
Singles /BIP	42.86%	÷1.004	×0.920	—	×1.015	39.87%
Doubles /BIP	0.00%	÷0.979	×0.830	—	×1.015	0.00%
Triples /BIP	0.00%	÷0.900	×0.910	—	×1.015	0.00%
Home runs /BIP	0.00%	÷1.164	×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): HR 133, 1B 101, 2B 96, 3B 80, K 103, BB 104 — 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).

Result: wOBA .393 → .349; ISO .000 → .000; BABIP .429 → .399. 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 A+Lansing Lugnuts · 50 PAwOBA .338 → .294 (−44)K% 6.0% → 7.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.00%	÷0.974	×1.270	—	—	7.82%
BB% (unintentional) /PA	10.00%	÷0.974	×0.710	—	×1.027	7.49%
HBP% /PA	6.00%	—	×0.790	—	×1.027	4.87%
Singles /BIP	25.64%	÷1.036	×0.920	—	×1.027	23.38%
Doubles /BIP	5.13%	÷0.992	×0.810	—	×1.027	4.30%
Triples /BIP	0.00%	÷1.150	×0.850	—	×1.027	0.00%
Home runs /BIP	0.00%	÷0.867	×0.800	—	×1.027	0.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 73, 1B 107, 2B 98, 3B 130, K 95, BB 95 — 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 .338 → .294; ISO .048 → .041; BABIP .308 → .277. 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 — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Mark Grudzielanek'95-'10 * career totals — 15 seasons, 7,603 PA	11.5	7,603	90	133	277*	319*	384*	+46	+32	24.1	20.8
/162	664	8	12	+4.0	+2.8	2.1	pk7: 17
#2César Hernándezlast yr '22 career totals — 10 seasons, 4,797 PA	7.2	4,797	71	91	267	341	375	+17	+1	17.8	18.1
/162	664	10	13	+2.4	+0.2	2.5	pk7: 18
#3Rick Burleson'74-'87 * career totals — 12 seasons, 5,717 PA	8.6	5,717	50	72	269*	329*	388*	+51	+43	17.6	17.2
/162	664	6	8	+6.0	+5.0	2.0	pk7: 17
#4Alberto Callaspolast yr '15 career totals — 9 seasons, 3,909 PA	5.9	3,909	52	22	265	329	365	+14	+17	12.4	12.9
/162	664	9	4	+2.4	+2.9	2.1	pk7: 13
#5Rich Rollins'61-'70 * career totals — 9 seasons, 3,675 PA	5.5	3,675	77	17	275*	333*	419*	+13	-1	12.7	12.7
/162	664	14	3	+2.4	-0.1	2.3	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.4	2,947	47	49	275	316	393	+31	+6	11.5	10.7
/162	664	11	11	+6.9	+1.3	2.6	pk7: 10
#6Kazuo Matsuilast yr '10 career totals — 7 seasons, 2,555 PA	3.8	2,555	32	102	267	321	380	+13	+5	9.3	9.3
/162	664	8	27	+3.3	+1.2	2.4	pk7: 9

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
Joshua Kuroda-Grauer (OGILVIE)	24	—	—	—	—	278/319/388	110	308	2	4	12%	4%	100	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Osleivis Basabe 2024 · MLB	23	57→62	40→45	54→50	45	269/315/377	108	325	5	16	18%	6%	95	+1.0	238/287/350	112	284	10	12	19%	5%	80	-0.2	226/278/337	111	262	12	11	18%	5%	71	-0.5
✕Johnny Giavotella 2012 · MLB	25	57→61	41→45	49→50	48	275/319/385	110	315	7	12	15%	6%	99	+1.3	264/314/370	106	303	8	11	15%	6%	94	+0.9	259/312/361	102	292	8	12	14%	7%	90	+0.6
●Otto Lopez 2023 · AAA	24	58→64	40→50	55	46	272/327/373	101	339	5	18	20%	6%	99	+1.3	260/308/366	106	311	8	19	18%	6%	91	+0.7	283/332/413	131	317	12	23	14%	6%	111	+2.1
●Eduardo Núñez 2011 · MLB	24	57→65	40→50	53→60	44	271/303/360	89	309	7	20	15%	4%	87	+0.4	252/292/348	96	288	7	30	15%	5%	80	-0.1	291/326/436	145	316	16	33	13%	4%	115	+1.7
✕Nick Madrigal 2021 · MLB	24	58→59	37→40	51→50	51	272/319/348	77	282	4	21	6%	5%	91	+0.6	268/319/354	86	294	4	11	10%	5%	92	+0.7	276/328/363	87	304	3	10	10%	5%	97	+0.5
✕Tyler Freeman 2023 · MLB	24	57→59	40	48→55	48	270/339/356	86	301	7	10	13%	5%	101	+1.4	249/330/352	103	282	9	19	14%	7%	97	+1.1	244/329/342	99	277	8	24	14%	7%	96	+0.6
✕L.J. Hoes 2014 · MLB	24	60→64	39→40	48→50	52	283/345/378	94	337	5	14	17%	8%	107	+1.8	253/317/346	93	310	7	16	19%	8%	90	+0.6	239/302/324	85	290	7	17	19%	8%	77	-0.3
●Starlin Castro 2014 · MLB	24	54→63	44→50	48→50	44	264/301/385	121	301	11	14	16%	5%	93	+0.8	267/303/398	131	307	14	7	17%	4%	97	+1.1	284/323/433	149	327	17	3	18%	5%	113	+2.3
✕Steve Lombardozzi Jr. 2013 · MLB	24	57→61	40→45	53→50	46	272/314/372	100	309	6	14	14%	5%	94	+0.9	252/285/323	71	287	4	12	13%	4%	72	-0.7	249/279/296	48	285	1	12	13%	3%	62	-0.9
✕Ronald Torreyes 2018 · MLB	25	55→59	39→45	48→50	46	261/296/353	92	290	6	6	13%	5%	83	+0.1	242/274/343	101	267	10	5	13%	4%	73	-0.6	232/267/328	95	252	10	3	13%	4%	66	-0.6
✕Kevin Frandsen 2006 · AAA	24	60→65	40→45	46→50	47	287/338/393	106	311	6	14	10%	4%	108	+1.9	270/327/379	109	296	8	11	11%	5%	102	+1.5	262/318/369	107	280	9	7	10%	4%	94	+0.7
✕Chin-Lung Hu 2008 · MLB	24	57→63	44→45	48→50	46	275/310/401	126	302	10	12	13%	5%	99	+1.3	258/289/356	98	292	7	12	14%	4%	81	-0.1	257/285/334	77	291	5	13	13%	3%	71	-0.5
●Matt Duffy 2015 · MLB	24	59→67	41→45	53→50	47	279/330/384	104	337	7	17	19%	6%	103	+1.5	276/321/393	117	321	10	13	17%	6%	102	+1.5	282/336/386	104	328	9	12	16%	6%	106	+1.6
✕Lorenzo Cedrola 2022 · AAA	24	55→60	42→45	49→50	43	268/306/377	109	300	9	12	14%	4%	93	+0.8	243/292/340	97	291	7	18	18%	4%	79	-0.2	235/288/321	87	287	5	23	19%	4%	70	-0.4
✕Jose Aguilar 2014 · AAA	24	61→64	40→45	53→55	47	291/345/389	98	337	6	16	15%	6%	109	+2.0	278/335/386	108	319	7	17	14%	6%	105	+1.7	275/335/378	103	313	6	19	14%	6%	101	+0.8
✕Bryson Smith 2013 · AA	24	55→60	42→45	49→50	41	265/313/370	105	316	9	11	19%	4%	94	+0.9	242/296/334	92	291	7	7	19%	5%	80	-0.2	234/292/316	82	282	7	4	19%	5%	71	-0.3
✕Ronny Cedeno 2006 · MLB	23	59→60	46→45	51→50	47	290/332/416	126	324	13	16	15%	5%	112	+2.2	263/298/377	114	311	11	11	18%	4%	89	+0.5	253/297/377	125	295	14	9	19%	5%	89	+0.3
✕Nicky Lopez 2019 · AAA	24	55→63	39→40	52→55	51	262/316/350	88	291	6	14	12%	7%	90	+0.6	259/315/346	87	296	5	12	13%	7%	89	+0.5	264/325/346	82	304	4	14	13%	8%	92	+0.6
✕Alcides Escobar 2011 · MLB	24	55→65	39→45	57→55	46	259/299/352	93	297	5	22	15%	5%	84	+0.1	255/291/346	91	292	5	24	14%	4%	79	-0.2	266/298/350	84	306	4	28	14%	3%	83	+0.1
✕Jesus Arredondo 2015 · AAA	24	57→61	38→45	46→50	46	273/312/362	89	318	5	13	16%	5%	91	+0.6	272/316/377	105	324	8	15	18%	6%	96	+1.0	274/321/389	115	324	9	15	18%	6%	99	+0.8

Joshua Kuroda-Grauer

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps