Queni Pineda

C FCL Yankees

Age 20 R/R 5'10" / 190 lbs ROK HR +14% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#897ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL NYY Bombe…	173	.254/.436/.438	5	5	57	—	.155/.302/.239
2025	18	ROKDSL NYY Bombe…	85	.270/.459/.381	1	5	71	—	.174/.329/.217
2026	19	ROKNYY	240	.257/.403/.429	8	15	58	—	.179/.286/.300
2027PROJMLE	20	MLBNYY	350	.204/.287/.307	6	6	70	0.1
2028PROJ25% MLB	21	MLBNYY	43	.210/.293/.325	1	1	75	0.1
2029PROJ38% MLB	22	MLBNYY	107	.214/.297/.336	2	2	79	0.2

Next 3 projected WAR 0.3Projected 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

ISO75

BB%65

wRC+63

wOBA60

Speed51

Chase%34

Career WAR0.0 WAR median (P10 0.0 / P90 0.7, comp-based) · star 2% · didn't stick 92%

CompsJacob Reimer (age 20) · Cutter Dykstra (age 20) · Yusniel Díaz (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 130 proj PA

wRC+†70

AVG/OBP/SLG.202 / .285 / .304

PA130

HR2

K%30

BB%9

ISO103

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$16M ctrl surplus

Contract

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	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2035	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2036	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2038	Arb-3	$0.6M	—	—	—
Totals		$3M		$3M	+$1M

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)
2024	17	ROK	DSL NYY Bombers	—	173	130	33	9	0	5	41	39	1	5	3	254	436	438	875	185	322	23	24	396	57	—	—	—	—	—	—
2025	18	ROK	DSL NYY Bombers	—	85	63	17	4	0	1	19	12	3	5	0	270	459	381	840	111	320	14	22	395	71	—	—	—	—	—	—
2026	19	ROK	FCL Yankees	—	240	191	49	7	1	8	42	69	5	15	4	257	403	429	833	173	353	29	18	375	58	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL NYY Bombers	—	173	142	22	6	0	2	29	47	1	5	3	155	302	239	542	85	210	27	17	252	57	—	—	—	—	—	—
2025	18	ROK MLE	DSL NYY Bombers	—	85	69	12	3	0	0	13	15	3	5	0	174	329	217	547	43	218	18	15	273	71	—	—	—	—	—	—
2026	19	ROK MLE	FCL Yankees	—	240	207	37	5	1	6	26	99	5	15	4	179	286	300	585	121	279	41	11	254	58	—	—	—	—	—	—
2024	17	ROK MLE	DSL NYY Bombers	—	173	142	22	6	0	2	29	47	1	5	3	155	302	239	542	85	213	27	17	252	57	—	—	—	—	—	—
2024	17	ROK RAW	DSL NYY Bombers	—	173	130	33	9	0	5	41	39	1	5	3	254	436	438	875	185	322	23	24	396	57	—	—	—	—	—	—
2025	18	ROK MLE	DSL NYY Bombers	—	85	69	12	3	0	0	13	15	3	5	0	174	329	217	547	43	222	18	15	273	71	—	—	—	—	—	—
2025	18	ROK RAW	DSL NYY Bombers	—	85	63	17	4	0	1	19	12	3	5	0	270	459	381	840	111	320	14	22	395	71	—	—	—	—	—	—
2026	19	ROK MLE	FCL Yankees	—	240	207	37	5	1	6	26	99	5	15	4	179	286	300	585	121	298	41	11	254	58	—	—	—	—	—	—
2026	19	ROK RAW	FCL Yankees	—	240	191	49	7	1	8	42	69	5	15	4	257	403	429	833	173	353	29	18	375	58	—	—	—	—	—	—
2024	17	ROK MLE	DSL NYY Bombers	—	173	141	22	6	0	2	29	47	1	5	3	156	302	241	543	85	210	27	17	252	57	—	—	—	—	—	—
2025	18	ROK MLE	DSL NYY Bombers	—	85	69	12	3	0	0	13	15	3	5	0	174	329	217	547	43	218	18	15	273	71	—	—	—	—	—	—
2026	19	ROK MLE	FCL Yankees	—	240	207	37	5	1	6	26	99	5	15	4	179	286	300	585	121	279	41	11	254	58	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL NYY Bombers	—	173	141	22	6	0	2	29	47	1	5	3	156	302	241	543	85	210	27	17	252	57	—	—	—	—	—	—
2025	18	ROK MLE	DSL NYY Bombers	—	85	69	12	3	0	0	13	15	3	5	0	174	329	217	547	43	218	18	15	273	71	—	—	—	—	—	—
2026	19	ROK MLE	FCL Yankees	—	240	207	37	5	1	6	26	99	5	15	4	179	286	300	585	121	279	41	11	254	58	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	NYY	0%	350	310	63	11	2	6	33	106	4	6	2	204	287	307	594	103	286	30	9	272	70	-12	+0	-1	+6	+8	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	NYY	25%	174	154	32	6	1	3	16	52	2	3	1	209	292	320	612	112	287	30	9	279	75	-5	+0	-0	+3	+4	0.1
2029	22	MLB MLE	NYY	38%	280	249	53	9	2	6	26	82	3	4	1	212	296	331	627	118	288	29	9	285	79	-7	+0	-1	+5	+6	0.4
2030	23	MLB MLE	NYY	45%	368	327	71	13	2	8	34	105	4	5	2	216	299	339	637	123	289	29	9	289	82	-8	+0	-1	+7	+8	0.6
2031	24	MLB MLE	NYY	48%	426	378	82	15	2	9	40	120	5	6	2	218	301	345	646	127	290	28	9	292	84	-8	+0	-1	+8	+9	0.8
2032	25	MLB MLE	NYY	50%	445	395	87	16	2	10	42	124	5	6	2	220	302	349	651	129	290	28	9	294	85	-8	+0	-1	+8	+10	0.9
2033	26	MLB MLE	NYY	50%	445	395	87	16	2	10	42	124	5	6	2	220	302	348	650	129	290	28	9	294	85	-8	+0	-1	+8	+10	0.9
2034	27	MLB MLE	NYY	50%	445	395	86	16	2	10	42	125	5	6	2	218	301	345	646	127	289	28	9	292	84	-9	+0	-1	+8	+10	0.8
2035	28	MLB MLE	NYY	50%	445	395	85	15	2	10	42	126	5	5	2	216	299	341	639	124	288	28	9	289	82	-10	+0	-2	+8	+10	0.6
2036	29	MLB MLE	NYY	49%	445	396	84	15	2	9	41	127	5	4	2	214	296	334	630	120	287	29	9	286	79	-11	+0	-3	+8	+10	0.4
2037	30	MLB MLE	NYY	48%	445	397	84	15	2	9	41	129	4	4	2	211	292	326	618	115	284	29	9	281	76	-13	+0	-3	+8	+10	0.2
2038	31	MLB MLE	NYY	52%	422	376	78	14	2	8	39	124	4	3	5	207	287	316	603	110	281	29	9	275	72	-14	-1	-4	+8	+9	-0.3
2028	21	MLB CTX	NYY	25%	43	39	8	1	0	1	4	13	0	1	0	210	293	325	618	116	287	30	9	281	75	-1	+0	-0	+1	+1	0.1
2029	22	MLB CTX	NYY	38%	107	95	21	4	1	2	10	31	1	2	0	214	297	336	633	123	288	29	9	287	79	-3	+0	-0	+2	+2	0.2
2030	23	MLB CTX	NYY	45%	167	147	33	6	1	4	16	48	2	2	1	217	300	344	644	128	289	29	10	291	82	-4	+0	-0	+3	+4	0.3
2031	24	MLB CTX	NYY	48%	205	182	40	7	1	5	19	58	2	3	1	219	302	351	653	131	290	28	9	295	84	-4	+0	-1	+4	+4	0.4
2032	25	MLB CTX	NYY	50%	221	195	43	8	1	5	21	62	3	3	1	221	303	355	658	134	290	28	10	297	85	-4	+0	-1	+4	+5	0.4
2033	26	MLB CTX	NYY	50%	225	199	44	8	1	5	21	63	3	3	1	221	303	354	657	134	290	28	9	296	85	-4	+0	-1	+4	+5	0.4
2034	27	MLB CTX	NYY	50%	223	198	43	8	1	5	21	63	2	3	1	220	302	352	654	132	289	28	9	295	84	-4	+0	-1	+4	+5	0.4
2035	28	MLB CTX	NYY	50%	221	196	43	8	1	5	21	63	2	2	1	218	300	347	646	129	288	29	10	292	82	-5	+0	-1	+4	+5	0.3
2036	29	MLB CTX	NYY	49%	216	192	41	7	1	5	20	62	2	2	1	215	297	340	637	125	287	29	9	288	79	-5	+0	-1	+4	+5	0.2
2037	30	MLB CTX	NYY	48%	212	188	40	7	1	5	20	61	2	2	1	212	293	332	625	120	284	29	9	283	76	-6	+0	-2	+4	+5	0.1
2038	31	MLB CTX	NYY	52%	218	194	40	7	1	4	20	64	2	1	3	208	288	321	609	114	281	29	9	277	72	-7	-1	-2	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2058	1825	396	71	10	46	193	588	21	24	11	217	299	342	642	125	291	29	9	290	78	-47	+0	-9	+37	+45	2.6
/ 162G	—	A+C		—	650	576	125	22	3	15	61	186	7	8	3	217	300	344	643	127	291	29	9	290	78	-15	+0	-3	+12	+14	0.8
Career	—	MLE		—	4968	4391	924	168	23	102	485	1438	57	79	31	210	297	329	626	118	286	29	10	284	78	-105	+1	-20	+80	+97	5.5
/ 162G	—	MLE		—	650	575	121	22	3	13	63	188	7	10	4	210	296	327	623	117	286	29	10	284	78	-15	+0	-3	+12	+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 ROKFCL Yankees · 240 PAwOBA .370 → .254 (−115)K% 28.7% → 41.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.75%	÷1.000	×1.440	—	—	41.40%
BB% (unintentional) /PA	17.50%	÷1.000	×0.620	—	×1.008	10.93%
HBP% /PA	2.08%	—	×0.720	—	×1.008	1.51%
Singles /BIP	27.05%	÷1.000	×0.820	×0.993	×1.008	22.20%
Doubles /BIP	5.74%	÷1.000	×0.720	×0.993	×1.008	4.13%
Triples /BIP	0.82%	÷1.000	×0.720	×0.993	×1.008	0.59%
Home runs /BIP	6.56%	÷1.000	×0.780	—	×1.008	5.15%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .370 → .254; ISO .173 → .120; BABIP .353 → .279. 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 DSLDSL NYY Bombers · 85 PAwOBA .383 → .273 (−109)K% 14.1% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.12%	÷0.997	×1.220	—	—	17.28%
BB% (unintentional) /PA	21.18%	÷0.966	×0.700	—	×1.008	15.45%
HBP% /PA	3.53%	—	×0.700	—	×1.008	2.49%
Singles /BIP	23.53%	÷0.985	×0.680	×1.029	×1.008	16.84%
Doubles /BIP	7.84%	÷1.019	×0.600	×1.029	×1.008	4.79%
Triples /BIP	0.00%	÷0.961	×0.600	×1.029	×1.008	0.00%
Home runs /BIP	1.96%	÷1.090	×0.470	—	×1.008	0.85%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 97, 2B 104, 3B 92, K 99, BB 93 — 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 ×1.029.

Result: wOBA .383 → .273; ISO .111 → .064; BABIP .320 → .218. 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 NYY Bombers · 173 PAwOBA .389 → .252 (−137)K% 22.5% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.54%	÷1.003	×1.220	—	—	27.42%
BB% (unintentional) /PA	23.70%	÷1.005	×0.700	—	×1.022	16.89%
HBP% /PA	0.58%	—	×0.700	—	×1.022	0.41%
Singles /BIP	20.88%	÷1.008	×0.680	×1.031	×1.022	14.86%
Doubles /BIP	9.89%	÷1.038	×0.600	×1.031	×1.022	6.03%
Triples /BIP	0.00%	÷1.150	×0.600	×1.031	×1.022	0.00%
Home runs /BIP	5.49%	÷1.658	×0.470	—	×1.022	1.59%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 232, 1B 102, 2B 108, 3B 130, K 101, BB 101 — 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 ×1.031.

Result: wOBA .389 → .252; ISO .185 → .080; BABIP .322 → .210. 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
#1Stephen Vogtlast yr '22 career totals — 9 seasons, 2,571 PA	3.9	2,571	82	5	241	303	410	+36	-11	9.3	9.4
/162	664	21	1	+9.2	-2.8	2.4	pk7: 9
#2Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#3Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#4Devin Mesoracolast yr '18 career totals — 8 seasons, 1,574 PA	2.4	1,574	58	4	232	309	406	+28	-13	6.0	6.2
/162	664	24	2	+11.9	-5.3	2.5	pk7: 6
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.3	2,187	46	26	215	294	337	+39	-12	4.9	4.4
/162	664	14	8	+11.9	-3.6	1.5	pk7: 4
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	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
Queni Pineda (OGILVIE)	20	—	—	—	—	202/285/304	102	286	2	2	30%	9%	70	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Cutter Dykstra 2009 · A	20	44→54	42→40	41→55	45	215/280/315	100	287	9	7	28%	8%	70	-0.9	213/274/291	78	300	6	14	29%	7%	61	-1.5	239/306/325	86	316	6	16	24%	8%	79	-0.2
✕Yusniel Díaz 2017 · A	20	46→54	44→45	45→50	42	227/276/342	115	301	12	9	28%	6%	74	-0.6	238/295/357	119	312	12	8	26%	7%	84	+0.2	238/300/364	126	308	12	7	25%	8%	85	+0.2
✕John Ryan Murphy 2011 · A	20	45→48	43→50	42→40	46	223/279/331	108	276	11	5	23%	7%	72	-0.7	228/273/343	115	275	10	4	20%	6%	73	-0.6	243/294/362	119	301	12	0	23%	6%	84	+0.1
✕Eddys Leonard 2021 · A	20	42→47	39→50	45→50	45	198/273/287	89	286	6	8	31%	8%	61	-1.5	229/297/377	148	305	16	5	29%	7%	91	+0.6	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕Miguel Palma 2022 · A	20	43	43→45	47→40	50	206/312/318	112	281	10	9	28%	10%	84	+0.1	220/283/339	119	285	13	4	26%	7%	76	-0.4	216/276/324	108	281	13	2	27%	6%	68	-0.5
✕Mitch Einertson 2006 · A	20	44→53	41→50	43→45	44	208/289/307	99	300	9	6	31%	8%	72	-0.7	215/266/337	122	270	12	5	24%	5%	70	-0.9	238/281/367	129	292	12	5	22%	4%	79	-0.1
✕Leo Bernal 2024 · A	20	45→50	42→45	47→50	49	220/293/323	103	283	9	5	25%	9%	76	-0.4	231/296/349	118	296	13	8	25%	8%	83	+0.1	235/299/362	127	292	15	9	24%	8%	85	+0.2
✕Ricardo Olivar 2023 · A	21	46→50	43→45	47→50	41	219/289/340	121	321	9	9	33%	7%	78	-0.3	226/303/344	118	307	11	9	28%	9%	85	+0.2	222/301/337	115	291	12	10	26%	9%	80	-0.1
✕Jeferson Quero 2023 · A	20	47	44→50	49→45	43	230/281/347	117	293	11	9	25%	6%	77	-0.3	232/290/369	137	282	16	7	23%	7%	86	+0.3	222/285/355	133	266	16	4	23%	7%	79	-0.1
✕Eric Wood 2013 · A	20	44→50	43→55	42→45	43	217/276/330	113	284	10	6	27%	6%	72	-0.7	217/266/304	87	308	5	4	29%	6%	61	-1.5	212/274/375	163	269	18	7	28%	7%	79	-0.1
✕Dariel Lopez 2022 · A	20	47→48	41→50	43→45	40	223/282/318	95	323	8	4	32%	6%	71	-0.8	233/274/355	122	335	14	6	33%	4%	76	-0.4	239/268/367	129	333	18	6	33%	3%	73	-0.5
✕Jordan Groshans 2021 · A	21	49→51	42→50	46→30	43	234/290/340	106	321	9	6	29%	7%	78	-0.3	240/304/333	93	308	7	3	23%	8%	82	+0.0	237/306/316	79	299	6	1	21%	9%	76	-0.3
✕Victor Bericoto 2023 · A	21	46→49	43→50	41→40	42	223/284/326	103	320	11	4	32%	8%	74	-0.6	230/278/363	133	307	16	4	29%	6%	80	-0.2	230/278/364	134	300	16	3	28%	6%	78	-0.2
✕Ramon Mendoza 2021 · A	20	45→51	38→45	40→45	45	210/282/297	87	291	5	4	28%	7%	66	-1.1	196/268/274	78	282	4	5	29%	8%	56	-1.9	232/310/341	109	301	10	3	24%	9%	83	+0.1
✕Jacob Amaya 2019 · A	20	49→47	39→45	48→45	52	232/310/319	87	306	7	11	25%	10%	82	-0.0	216/290/316	100	284	8	6	25%	9%	74	-0.6	218/291/330	112	279	11	6	25%	9%	75	-0.4
✕Luis Torrens 2017 · A	21	45→49	41→50	46→40	49	217/293/309	93	272	8	6	23%	8%	74	-0.6	218/269/313	95	273	7	3	22%	6%	64	-1.3	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Canaan Smith-Njigba 2019 · A	20	46→51	41→45	46→55	51	218/304/317	98	298	9	7	28%	10%	79	-0.2	237/308/353	116	333	10	11	29%	9%	88	+0.5	242/319/359	118	343	9	15	29%	10%	91	+0.4
✕Yeiner Fernandez 2023 · A	20	52→53	41→40	43→45	46	251/312/352	101	307	9	4	21%	6%	90	+0.6	237/302/319	82	282	6	5	17%	7%	78	-0.3	233/299/299	66	274	4	5	16%	7%	71	-0.6
✕Jonathan Galvez 2011 · A	20	44→51	43→50	49→55	45	209/288/320	111	309	10	13	33%	9%	74	-0.5	237/291/359	122	338	11	19	31%	6%	83	+0.1	244/294/364	120	343	10	23	30%	5%	83	+0.1

Queni Pineda

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps