Daniel Pena

C FCL Twins

Age 22 R/R 5'11" / 205 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2301ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	A/ROKMIN	175	.215/.328/.329	4	0	41	—	.155/.247/.233
2025	20	AMIN	212	.199/.306/.265	2	0	37	—	.175/.254/.233
2026	21	ROKMIN	74	.158/.351/.211	1	2	18	—	.113/.257/.161
2027PROJMLE	22	MLBMIN	184	.186/.259/.267	2	3	50	-0.1
2028PROJ34% MLB	23	MLBMIN	38	.192/.265/.284	1	1	56	-0.0
2029PROJ46% MLB	24	MLBMIN	84	.197/.270/.296	1	1	61	-0.0

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Z-Con%76

Whiff%70

BB%65

K%48

wRC+23

ISO17

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 99%

CompsErick Castillo (age 22) · Gerardo Bustamante (age 22) · Luis De La Cruz (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 53 proj PA

wRC+†50

AVG/OBP/SLG.184 / .257 / .265

PA53

HR1

K%23

BB%7

ISO81

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 35 / POW 25

Toolsscout grade

CONTACT35

scouting grade only

POWER25

scouting grade only

EYE40

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
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
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.5M	+$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 Twins	—	159	135	41	7	0	1	13	22	10	4	3	304	405	378	783	74	354	14	8	361	56	—	—	—	—	—	—
2023	18	ROK	FCL Twins	—	117	97	27	4	0	5	15	14	2	0	0	278	386	474	860	196	272	12	13	374	87	—	—	—	—	—	—
2024	19	A	Fort Myers Mighty Mussels	—	143	123	24	3	0	3	16	32	3	0	0	195	303	293	595	98	236	22	11	278	31	—	—	—	—	—	—
2024	19	ROK	FCL Twins	—	32	26	8	2	0	1	6	6	0	0	0	308	438	500	938	192	368	19	19	417	86	—	—	—	—	—	—
2025	20	A	Fort Myers Mighty Mussels	—	212	181	36	6	0	2	23	28	5	0	0	199	306	265	571	66	221	13	11	269	37	—	—	—	—	—	—
2026	21	ROK	FCL Twins	—	74	57	9	0	0	1	13	16	4	2	1	158	351	211	562	53	200	22	18	288	18	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Twins	—	159	140	30	5	0	0	8	27	10	4	3	214	304	250	554	36	254	17	5	251	56	—	—	—	—	—	—
2023	18	ROK MLE	FCL Twins	—	117	102	23	3	0	5	10	20	2	0	0	225	307	402	709	176	213	17	9	297	87	—	—	—	—	—	—
2024	19	A MLE	Fort Myers Mighty Mussels	—	143	127	18	2	0	2	12	44	3	0	0	142	232	205	437	63	201	31	8	214	31	—	—	—	—	—	—
2024	19	ROK MLE	FCL Twins	—	32	28	6	1	0	1	4	9	0	0	0	214	312	357	670	143	287	28	12	295	86	—	—	—	—	—	—
2025	20	A MLE	Fort Myers Mighty Mussels	—	212	189	33	5	0	2	15	38	5	0	0	175	254	233	486	58	200	18	7	223	37	—	—	—	—	—	—
2026	21	ROK MLE	FCL Twins	—	74	62	7	0	0	1	8	23	4	2	1	113	257	161	418	48	155	31	11	195	18	—	—	—	—	—	—
2022	17	ROK MLE	DSL Twins	—	159	140	30	5	0	0	8	27	10	4	3	214	304	250	554	36	263	17	5	251	56	—	—	—	—	—	—
2022	17	ROK RAW	DSL Twins	—	159	135	41	7	0	1	13	22	10	4	3	304	405	378	783	74	354	14	8	361	56	—	—	—	—	—	—
2023	18	ROK MLE	FCL Twins	—	117	102	23	3	0	5	10	20	2	0	0	225	307	402	709	176	225	17	9	297	87	—	—	—	—	—	—
2023	18	ROK RAW	FCL Twins	—	117	97	27	4	0	5	15	14	2	0	0	278	386	474	860	196	272	12	13	374	87	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	175	156	25	4	0	3	15	53	3	0	0	160	247	244	491	83	218	30	9	229	41	—	—	—	—	—	—
2024	19	A RAW	2 teams	—	175	149	32	5	0	4	22	38	3	0	0	215	328	329	656	114	259	22	13	303	41	—	—	—	—	—	—
2025	20	A MLE	Fort Myers Mighty Mussels	—	212	189	33	5	0	2	15	38	5	0	0	175	254	233	486	58	204	18	7	223	37	—	—	—	—	—	—
2025	20	A RAW	Fort Myers Mighty Mussels	—	212	181	36	6	0	2	23	28	5	0	0	199	306	265	571	66	221	13	11	269	37	—	—	—	—	—	—
2026	21	ROK MLE	FCL Twins	—	74	62	7	0	0	1	8	23	4	2	1	113	257	161	418	48	158	31	11	195	18	—	—	—	—	—	—
2026	21	ROK RAW	FCL Twins	—	74	57	9	0	0	1	13	16	4	2	1	158	351	211	562	53	200	22	18	288	18	—	—	—	—	—	—
2022	17	ROK MLE	DSL Twins	—	159	140	30	5	0	0	8	27	10	4	3	214	304	250	554	36	254	17	5	251	56	—	—	—	—	—	—
2023	18	ROK MLE	FCL Twins	—	117	104	23	3	0	5	10	20	2	0	0	221	307	394	701	173	213	17	9	297	87	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	175	155	25	4	0	3	15	53	3	0	0	161	247	245	492	84	217	30	9	229	41	—	—	—	—	—	—
2025	20	A MLE	Fort Myers Mighty Mussels	—	212	190	33	5	0	2	15	38	5	0	0	174	254	232	485	58	200	18	7	223	37	—	—	—	—	—	—
2026	21	ROK MLE	FCL Twins	—	74	62	7	0	0	1	8	23	4	2	1	113	257	161	418	48	155	31	11	195	18	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	2 teams	—	175	155	25	4	0	3	15	53	3	0	0	161	247	245	492	84	217	30	9	229	41	—	—	—	—	—	—
2025	20	A MLE	Fort Myers Mighty Mussels	—	212	190	33	5	0	2	15	38	5	0	0	174	254	232	485	58	200	18	7	223	37	—	—	—	—	—	—
2026	21	ROK MLE	FCL Twins	—	74	62	7	0	0	1	8	23	4	2	1	113	257	161	418	48	155	31	11	195	18	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	MIN	0%	184	165	31	6	1	2	14	43	3	3	1	186	259	267	526	81	235	23	8	242	50	-11	+0	+0	+3	+4	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	MIN	34%	110	99	19	4	0	2	8	25	2	2	0	192	265	283	548	91	239	23	7	251	56	-6	+0	+0	+2	+2	-0.1
2029	24	MLB MLE	MIN	46%	182	163	33	6	1	3	14	41	3	3	1	197	270	296	566	99	243	23	8	258	61	-8	+0	+0	+3	+4	-0.1
2030	25	MLB MLE	MIN	52%	247	223	44	8	1	4	19	56	3	4	1	200	273	305	578	105	245	23	8	263	64	-10	+0	+0	+4	+5	-0.0
2031	26	MLB MLE	MIN	54%	302	271	55	10	1	6	24	69	4	4	1	202	276	311	587	109	247	23	8	267	67	-12	+0	+0	+5	+7	0.0
2032	27	MLB MLE	MIN	54%	329	296	59	11	1	6	26	75	4	4	1	203	277	313	590	110	249	23	8	268	68	-13	+0	+0	+6	+7	0.1
2033	28	MLB MLE	MIN	54%	342	308	62	12	1	6	27	79	4	3	1	202	275	308	583	107	248	23	8	265	66	-14	+0	-1	+6	+7	-0.1
2034	29	MLB MLE	MIN	53%	341	307	61	11	1	6	27	79	4	2	1	199	272	302	574	103	246	23	8	262	63	-15	+0	-1	+6	+7	-0.3
2028	23	MLB CTX	MIN	34%	38	34	7	1	0	1	3	9	1	1	0	192	265	284	549	92	239	24	8	252	56	-2	+0	+0	+1	+1	-0.0
2029	24	MLB CTX	MIN	46%	84	77	14	3	0	1	6	19	1	1	0	197	270	296	566	100	243	23	7	259	61	-4	+0	+0	+1	+2	-0.0
2030	25	MLB CTX	MIN	52%	128	115	23	4	1	2	10	29	2	2	0	200	273	305	579	105	245	23	8	263	64	-5	+0	+0	+2	+3	0.0
2031	26	MLB CTX	MIN	54%	164	148	31	6	1	3	13	37	2	2	1	202	276	311	587	109	247	23	8	267	67	-7	+0	+0	+3	+4	-0.0
2032	27	MLB CTX	MIN	54%	178	160	32	6	1	3	14	41	2	2	1	204	277	314	591	110	249	23	8	268	68	-7	+0	+0	+3	+4	0.0
2033	28	MLB CTX	MIN	54%	186	167	33	6	1	3	15	43	2	2	1	202	275	309	584	107	248	23	8	266	66	-8	+0	-0	+3	+4	-0.1
2034	29	MLB CTX	MIN	53%	181	163	33	6	1	3	14	42	2	1	0	199	272	303	575	103	246	23	8	262	63	-8	+0	-1	+3	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	959	864	173	32	5	16	75	220	12	11	3	200	273	304	578	104	248	23	8	264	60	-40	+1	-1	+17	+21	-0.2
/ 162G	—	A+C		—	650	586	117	22	3	11	51	149	8	7	2	200	273	304	577	104	247	23	8	264	60	-27	+1	-1	+12	+14	-0.2
Career	—	MLE		—	2643	2364	460	81	6	45	205	597	49	29	10	195	273	291	564	96	238	23	8	256	60	-81	+2	-2	+34	+41	-0.6
/ 162G	—	MLE		—	650	581	113	20	1	11	50	147	12	7	2	194	272	289	561	95	238	23	8	256	60	-28	+1	-1	+12	+14	-0.2

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 ROKFCL Twins · 74 PAwOBA .282 → .195 (−88)K% 21.6% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.62%	÷1.000	×1.440	—	—	31.14%
BB% (unintentional) /PA	17.57%	÷1.000	×0.620	—	×0.985	10.73%
HBP% /PA	5.41%	—	×0.720	—	×0.985	3.83%
Singles /BIP	19.51%	÷1.000	×0.820	×0.963	×0.985	15.17%
Doubles /BIP	0.00%	÷1.000	×0.720	×0.963	×0.985	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	×0.963	×0.985	0.00%
Home runs /BIP	2.44%	÷1.000	×0.780	—	×0.985	1.87%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .282 → .195; ISO .053 → .040; BABIP .200 → .155. 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 · 212 PAwOBA .266 → .223 (−43)K% 13.2% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.21%	÷0.994	×1.360	—	—	18.07%
BB% (unintentional) /PA	10.85%	÷1.054	×0.690	—	×1.030	7.31%
HBP% /PA	2.36%	—	×0.780	—	×1.030	1.89%
Singles /BIP	18.30%	÷1.029	×0.920	×1.004	×1.030	16.92%
Doubles /BIP	3.92%	÷1.032	×0.830	×1.004	×1.030	3.26%
Triples /BIP	0.00%	÷1.000	×0.910	×1.004	×1.030	0.00%
Home runs /BIP	1.31%	÷0.898	×0.800	—	×1.030	1.20%

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 ×1.004.

Result: wOBA .266 → .223; ISO .066 → .058; BABIP .221 → .200. 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 · 143 PAwOBA .273 → .214 (−59)K% 22.4% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.38%	÷0.994	×1.360	—	—	30.62%
BB% (unintentional) /PA	11.19%	÷0.976	×0.690	—	×1.045	8.27%
HBP% /PA	2.10%	—	×0.780	—	×1.045	1.71%
Singles /BIP	19.78%	÷1.096	×0.920	×0.980	×1.045	17.00%
Doubles /BIP	3.30%	÷1.019	×0.830	×0.980	×1.045	2.75%
Triples /BIP	0.00%	÷0.962	×0.910	×0.980	×1.045	0.00%
Home runs /BIP	3.30%	÷0.962	×0.800	—	×1.045	2.86%

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 ×0.980.

Result: wOBA .273 → .214; ISO .098 → .078; BABIP .236 → .201. 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 ROKFCL Twins · 32 PAwOBA .407 → .295 (−112)K% 18.8% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷0.974	×1.440	—	—	27.73%
BB% (unintentional) /PA	18.75%	÷1.046	×0.620	—	×1.008	11.20%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	25.00%	÷1.036	×0.820	—	×1.008	19.93%
Doubles /BIP	10.00%	÷0.971	×0.720	—	×1.008	7.47%
Triples /BIP	0.00%	÷0.900	×0.720	—	×1.008	0.00%
Home runs /BIP	5.00%	÷0.890	×0.780	—	×1.008	4.42%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 107, 2B 94, 3B 80, K 95, BB 109 — 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 .407 → .295; ISO .192 → .156; BABIP .368 → .287. 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 · 117 PAwOBA .374 → .297 (−77)K% 12.0% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.97%	÷1.025	×1.440	—	—	16.82%
BB% (unintentional) /PA	12.82%	÷0.963	×0.620	—	×1.022	8.44%
HBP% /PA	1.71%	—	×0.720	—	×1.022	1.26%
Singles /BIP	21.69%	÷1.018	×0.820	×0.979	×1.022	17.49%
Doubles /BIP	4.82%	÷1.014	×0.720	×0.979	×1.022	3.43%
Triples /BIP	0.00%	÷0.934	×0.720	×0.979	×1.022	0.00%
Home runs /BIP	6.02%	÷0.913	×0.780	—	×1.022	5.26%

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 ×0.979.

Result: wOBA .374 → .297; ISO .196 → .170; BABIP .272 → .213. 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 Twins · 159 PAwOBA .354 → .251 (−103)K% 13.8% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.84%	÷0.981	×1.220	—	—	17.20%
BB% (unintentional) /PA	8.18%	÷1.116	×0.700	—	×1.022	5.24%
HBP% /PA	6.29%	—	×0.700	—	×1.022	4.50%
Singles /BIP	29.20%	÷0.974	×0.680	×1.029	×1.022	21.47%
Doubles /BIP	6.19%	÷0.974	×0.600	×1.029	×1.022	4.02%
Triples /BIP	0.00%	÷1.013	×0.600	×1.029	×1.022	0.00%
Home runs /BIP	0.88%	÷1.032	×0.470	—	×1.022	0.41%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 95, 2B 95, 3B 103, K 96, BB 123 — 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 ×1.029.

Result: wOBA .354 → .251; ISO .074 → .045; BABIP .354 → .254. 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
#3Chad 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
#4Jeff Torborg'64-'73 * career totals — 9 seasons, 1,525 PA	2.3	1,525	8	3	214*	271*	292*	+27	+0	0.2	0.7
/162	664	3	1	+11.8	+0.0	0.1	pk7: 1
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.5	1,011	17	12	201	271	305	+18	+16	0.3	0.4
/162	664	11	8	+11.9	+10.5	0.2	pk7: 0
#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
Daniel Pena (OGILVIE)	22	35	25	40	40	184/257/265	80	235	1	1	23%	7%	50	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Erick Castillo 2015 · A	22	42	37→30	41→30	45	198/248/269	71	235	4	4	17%	5%	47	-2.6	199/240/252	53	255	2	3	22%	4%	38	-3.2	188/246/227	39	232	3	0	20%	4%	34	-0.9
✕Gerardo Bustamante 2008 · A	22	38	39→40	42→50	40	189/236/271	83	258	7	4	30%	6%	42	-2.9	198/259/276	78	270	5	5	27%	7%	53	-2.1	219/256/297	79	272	10	12	23%	4%	52	-0.7
✕Luis De La Cruz 2011 · A	22	40	40→30	47→30	38	195/231/295	100	253	6	6	26%	4%	45	-2.7	235/266/315	80	286	4	6	19%	4%	63	-1.4	266/288/334	68	312	3	4	16%	3%	71	-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
✕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
✕Kyle Overstreet 2016 · A	22	40→45	37→40	42→30	44	190/254/259	69	264	4	4	28%	7%	47	-2.6	223/279/316	93	282	8	3	22%	7%	69	-0.9	224/268/313	89	272	9	1	21%	5%	62	-1.0
✕Adrian Abreu 2012 · A	21	37	37→30	46→55	50	177/256/249	71	223	4	9	21%	8%	46	-2.6	192/277/264	72	230	5	17	18%	10%	57	-1.8	176/273/236	60	201	6	25	15%	11%	49	-0.8
✕Claudio Finol 2022 · A	22	40	38→30	46→45	41	195/255/280	85	272	5	6	29%	6%	52	-2.2	197/255/281	84	276	6	9	29%	6%	52	-2.2	202/270/282	80	285	9	12	31%	7%	57	-0.4
✕J.C. Millan 2018 · A	22	40	37→40	45→30	36	195/236/271	76	279	4	8	31%	4%	42	-2.9	220/267/316	96	272	9	6	22%	6%	64	-1.3	226/273/320	94	265	9	4	18%	6%	64	-0.5
✕Ramón Rodríguez 2021 · A	22	45	38→40	47→45	46	212/265/289	77	262	5	6	21%	6%	57	-1.8	220/266/308	88	269	9	6	21%	5%	62	-1.4	216/277/308	92	237	10	8	14%	7%	65	-0.5
✕Narbe Cruz 2023 · A	22	40	38→45	44→45	40	194/247/270	77	262	5	7	27%	5%	47	-2.6	210/262/301	91	296	8	6	30%	5%	59	-1.6	208/262/300	93	295	9	6	31%	5%	55	-1.0
✕David Rodríguez 2018 · A	22	41→44	37→40	40	41	199/257/271	72	272	5	3	28%	6%	51	-2.3	216/269/317	101	292	8	5	28%	6%	65	-1.2	203/261/320	118	275	14	4	30%	7%	61	-0.5
✕Dereck Salom 2023 · A	22	42	35→30	43→40	45	199/257/256	57	261	2	6	24%	6%	47	-2.6	196/277/252	56	263	3	5	24%	9%	55	-2.0	183/277/227	44	246	3	4	24%	11%	49	-1.4
✕Jairo Rodriguez 2011 · A	22	39	35→30	44→30	45	176/216/236	60	201	2	4	14%	4%	26	-4.0	199/241/258	59	250	3	3	21%	4%	40	-3.0	209/250/255	46	255	2	1	18%	4%	41	-0.9
✕Sherman Lacrus 2016 · A	22	45	39→30	45→50	50	212/284/298	86	249	6	7	17%	7%	68	-1.0	206/261/289	83	275	5	8	26%	6%	56	-1.9	189/239/259	70	247	5	9	24%	5%	39	-1.0
✕Devin Lohman 2011 · A	22	40→46	36→40	40→50	42	190/247/255	65	256	3	4	26%	6%	42	-2.9	213/272/303	90	273	8	13	24%	6%	63	-1.3	210/270/300	90	262	8	16	22%	6%	60	-1.3
✕Ricardo Valenzuela 2013 · A	22	42	35→30	39→50	51	192/257/252	60	220	2	5	14%	7%	47	-2.6	193/247/258	65	244	4	4	21%	6%	43	-2.8	221/269/269	47	257	5	0	16%	6%	52	-0.7
✕Luis Carpio 2019 · A	22	40→43	41→45	44→50	45	196/255/290	94	253	8	9	26%	7%	54	-2.0	217/278/314	97	285	8	7	25%	7%	68	-1.0	211/272/293	83	286	6	8	27%	7%	58	-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
✕Victor Duarte 2022 · A	21	38	38→30	48→45	42	185/249/264	79	253	5	7	28%	6%	47	-2.6	199/274/279	80	289	6	6	31%	7%	59	-1.6	182/251/245	63	250	5	11	28%	7%	41	-0.8

Daniel Pena

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps