Felipe De La Cruz

P Binghamton Rumble Ponies

Age 26 LHP 6'0" / 160 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	A+NYM	25	24	106	4.25	2.43	24.8%	9.6%	—	K 19.1% · BB 11.1% · FIP 3.11
2025	24	MIX2 levels	33	6	64	5.04	3.82	31.8%	11.3%	—	K 26.3% · BB 11.2% · FIP 4.39
2026	25	MIX2 levels	36	1	47	2.87	3.01	29.9%	12.7%	—	K 24.1% · BB 15.4% · FIP 3.76
2027PROJ	26	MLBNYM	3	0	3	4.71	4.71	25.1%	14.5%	-0.0
2028PROJ38% MLB	27	MLBNYM	36	0	38	4.69	4.70	24.8%	13.9%	-0.1
2029PROJ60% MLB	28	MLBNYM	50	0	52	4.71	4.75	24.5%	13.6%	-0.1

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

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.2 / P90 1.1, comp-based) · star 0% · didn't stick 96%

CompsMark Manfredi Sr. (age 24) · Tommy Vail (age 25) · Will Johnston (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 106115vR 123

ERA4.71

FIP4.71

K%25.1%

BB%14.5%

K-BB%10.6%

Proj IP127

Value2027 · WAR

Runs saved vs league avg · 127 IP

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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 WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2021	20	ROK MLE	DSL Mets 2	14	12	46	194	46	16	1	86%	3.3	16.1%	10.3%	5.8%	0.7%	3.13	3.44	—
2021	20	ROK RAW	DSL Mets 2	14	12	46	194	46	16	1	86%	3.3	23.7%	8.2%	15.5%	0.5%	3.13	2.43	—
2022	21	MIX MLE	2 levels	12	6	36	151	53	16	3	50%	3.0	21.7%	14.5%	7.2%	2.8%	4.29	4.65	—
2022	21	MIX RAW	2 levels	12	6	36	151	53	16	3	50%	3.0	35.1%	10.6%	24.5%	2.0%	4.29	2.57	—
2023	22	MIX MLE	2 levels	24	22	107	463	131	46	11	92%	4.5	21.0%	11.7%	9.4%	2.5%	4.36	4.17	—
2023	22	MIX RAW	2 levels	24	22	107	463	131	46	11	92%	4.5	28.3%	9.9%	18.4%	2.4%	4.36	3.28	—
2024	23	A+ MLE	Brooklyn Cyclones	25	24	106	467	116	45	2	96%	4.2	19.1%	11.1%	8.0%	0.4%	4.25	3.11	—
2024	23	A+ MLE	Brooklyn Cyclones	25	24	106	467	116	45	2	96%	4.2	19.1%	11.1%	8.0%	0.4%	4.25	3.11	—
2024	23	A+ RAW	Brooklyn Cyclones	25	24	106	467	116	45	2	96%	4.2	24.8%	9.6%	15.2%	0.4%	4.25	2.43	—
2025	24	MIX MLE	2 levels	33	6	64	283	90	32	10	18%	1.9	26.3%	11.2%	15.1%	3.8%	5.04	4.39	—
2025	24	MIX MLE	2 levels	33	6	64	283	90	32	10	18%	1.9	26.3%	11.2%	15.1%	3.8%	5.04	4.39	—
2025	24	MIX RAW	2 levels	33	6	64	283	90	32	10	18%	1.9	31.8%	11.3%	20.5%	3.5%	5.04	3.82	—
2026	25	MIX MLE	2 levels	36	1	47	197	59	25	3	3%	1.3	24.1%	15.4%	8.7%	1.3%	2.87	3.76	—
2026	25	MIX MLE	2 levels	36	1	47	197	59	25	3	3%	1.3	24.1%	15.4%	8.7%	1.3%	2.87	3.76	—
2026	25	MIX RAW	2 levels	36	1	47	197	59	25	3	3%	1.3	29.9%	12.7%	17.3%	1.5%	2.87	3.01	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	NYM	3	0	3	13	3	2	0	0%	1.0	25.1%	14.5%	10.6%	2.8%	4.71	4.71	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	NYM	95	0	100	423	105	59	12	0%	1.1	24.8%	13.9%	10.9%	2.8%	4.69	4.70	-0.2
2029	28	MLB MLE	NYM	83	0	87	368	90	50	11	0%	1.1	24.5%	13.6%	10.9%	2.9%	4.71	4.75	-0.2
2030	29	MLB MLE	NYM	75	0	79	332	80	45	10	0%	1.0	24.1%	13.5%	10.6%	3.1%	4.79	4.86	-0.3
2031	30	MLB MLE	NYM	67	0	71	298	71	41	10	0%	1.1	23.7%	13.7%	10.0%	3.3%	4.92	5.02	-0.4
2028	27	MLB CTX	NYM	36	0	38	160	40	22	5	0%	1.1	24.8%	13.9%	10.9%	2.8%	4.69	4.70	-0.1
2029	28	MLB CTX	NYM	50	0	52	220	54	30	6	0%	1.0	24.5%	13.6%	10.9%	2.9%	4.71	4.75	-0.1
2030	29	MLB CTX	NYM	53	0	56	236	57	32	7	0%	1.1	24.1%	13.5%	10.6%	3.1%	4.79	4.86	-0.2
2031	30	MLB CTX	NYM	52	0	55	232	55	32	8	0%	1.1	23.7%	13.7%	10.0%	3.3%	4.92	5.02	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		191	0	200	847	205	115	26	0%	1.0	24.2%	13.6%	10.6%	3.1%	4.79	4.47	+0.2
/ 200 IP	—	RAW		190	0	200	844	204	115	26	0%	1.1	24.2%	13.6%	10.6%	3.1%	4.79	4.47	+0.2
Career	—	MLE		144	71	406	1755	373	210	33	49%	2.8	21.2%	12.0%	9.3%	1.9%	4.12	3.84	-1.0
/ 200 IP	—	MLE		71	35	200	864	183	103	16	49%	2.8	21.2%	12.0%	9.3%	1.9%	4.12	3.84	-0.6

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 AABinghamton Rumble Ponies · 42 IPFIP 2.98 → 3.76 (+0.78)K% 29.8% → 24.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.78%	—	×0.810	24.12%
BB% (unintentional) /BF	14.04%	—	×1.100	15.45%
HR / BF /BF	1.12%	÷1.000	×1.200	1.35%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 2.98 → 3.76, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AABinghamton Rumble Ponies · 40 IPFIP 2.95 → 3.97 (+1.02)K% 34.7% → 28.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.73%	—	×0.810	28.13%
BB% (unintentional) /BF	8.98%	—	×1.100	9.88%
HR / BF /BF	2.99%	÷0.990	×1.200	3.63%

Result: FIP 2.95 → 3.97, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAASyracuse Mets · 25 IPFIP 4.99 → 5.00 (+0.01)K% 27.6% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.59%	—	×0.860	23.72%
BB% (unintentional) /BF	14.66%	—	×0.900	13.19%
HR / BF /BF	4.31%	÷1.167	×1.100	4.06%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 133).

Result: FIP 4.99 → 5.00, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 A+Brooklyn Cyclones · 106 IPFIP 2.46 → 3.11 (+0.65)K% 24.8% → 19.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.84%	—	×0.770	19.13%
BB% (unintentional) /BF	9.64%	—	×1.150	11.08%
HR / BF /BF	0.43%	÷1.341	×1.250	0.40%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 168).

Result: FIP 2.46 → 3.11, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ASt. Lucie Mets · 90 IPFIP 3.23 → 4.12 (+0.89)K% 28.7% → 21.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.72%	—	×0.740	21.25%
BB% (unintentional) /BF	10.33%	—	×1.180	12.19%
HR / BF /BF	2.27%	÷1.274	×1.300	2.31%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 155).

Result: FIP 3.23 → 4.12, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 A+Brooklyn Cyclones · 17 IPFIP 3.55 → 4.50 (+0.95)K% 25.8% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.76%	—	×0.770	19.83%
BB% (unintentional) /BF	7.58%	—	×1.150	8.71%
HR / BF /BF	3.03%	÷1.054	×1.250	3.59%

Result: FIP 3.55 → 4.50, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 ROKFCL Mets · 32 IPFIP 3.07 → 4.65 (+1.58)K% 31.9% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.88%	—	×0.680	21.68%
BB% (unintentional) /BF	11.59%	—	×1.250	14.49%
HR / BF /BF	2.17%	÷1.078	×1.400	2.82%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 116).

Result: FIP 3.07 → 4.65, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 ROKDSL Mets 2 · 46 IPFIP 2.43 → 3.44 (+1.02)K% 23.7% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.71%	—	×0.680	16.12%
BB% (unintentional) /BF	8.25%	—	×1.250	10.31%
HR / BF /BF	0.52%	÷1.000	×1.400	0.72%

Result: FIP 2.43 → 3.44, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Felipe De La Cruz (OGILVIE)	—	—	—	—	—	2.8%	—	4.76	24.5%	10.8%	266	+0.05	—	—	—
Mark Manfredi Sr. L 2024 · 4.60 FIP	24	SW	4.60	22.0%	14.9%	2.7%	.289	3.22	25.4%	11.6%	128	-1.38	2.91	204	79
Tommy Vail L 2024 · 3.65 FIP	25	SW	3.65	27.5%	15.3%	1.7%	.237	5.19	19.5%	2.9%	99	+1.54	3.65	168	77
Will Johnston L 2024 · 3.94 FIP	23	SP-	3.94	24.8%	11.6%	2.7%	.290	4.56	22.9%	7.5%	104	+0.62	3.94	195	74
Brian Burres L 2007 · 4.50 FIP	26	SW	4.50	17.2%	11.6%	2.5%	.328	4.71	11.3%	3.1%	209	+0.21	4.50	344	73
Adam Scott L 2022 · 5.27 FIP	26	SW	5.27	21.1%	13.5%	4.1%	.317	4.65	16.1%	-1.2%	46	-0.62	4.17	315	71
Connor Oliver L 2024 · 4.34 FIP	23	SW	4.34	17.3%	12.1%	2.1%	.314	6.07	19.2%	3.4%	165	+1.73	4.34	244	67
Luis Ysla L 2018 · 4.96 FIP	26	SW	4.96	18.9%	13.9%	3.1%	.325	5.78	18.0%	3.6%	86	+0.82	3.75	378	67
Aaron Leasher L 2022 · 4.04 FIP	26	SW	4.04	21.0%	10.5%	2.5%	.318	4.98	15.1%	-2.0%	64	+0.94	4.04	477	66
Ben Holmes L 2018 · 4.02 FIP	26	SW	4.02	19.1%	9.3%	2.5%	.264	5.57	19.7%	8.6%	61	+1.55	3.09	451	65
Nick Dombkowski L 2024 · 4.92 FIP	25	SW	4.92	16.5%	10.9%	3.3%	.273	5.17	18.2%	10.6%	183	+0.25	3.71	425	65
Chris Murphy L 2023 · 3.99 FIP	25	SW	3.99	21.9%	9.7%	2.8%	.344	3.92	21.6%	10.1%	110	-0.07	3.63	464	65
Nate Peterson L 2024 · 5.51 FIP	24	SP-	5.51	19.2%	11.4%	4.7%	.296	4.75	16.0%	3.7%	148	-0.76	4.27	315	64
Tyler Alexander L 2019 · 5.56 FIP	27	SP-	5.56	21.7%	9.8%	5.6%	.289	5.27	15.7%	5.0%	26	-0.29	5.27	128	64
Nick Allgeyer L 2022 · 5.17 FIP	26	SW	5.17	18.6%	9.8%	4.4%	.284	5.65	18.9%	6.8%	81	+0.48	3.74	390	64
Matt Hall L 2019 · 4.86 FIP	26	SW	4.86	23.8%	9.2%	4.8%	.358	4.47	17.5%	2.8%	37	-0.39	2.60	535	64
Brandon Waddell L 2019 · 4.30 FIP	25	SW	4.30	21.1%	11.3%	2.8%	.344	3.62	20.1%	10.5%	53	-0.68	2.67	616	64
Ken Waldichuk L 2023 · 5.01 FIP	25	SP-	5.01	20.7%	11.0%	4.1%	.303	5.78	21.8%	6.9%	51	+0.77	3.51	432	63
Anthony Veneziano L 2024 · 4.33 FIP	26	SW	4.33	17.6%	9.0%	2.9%	.307	4.72	17.3%	8.0%	87	+0.39	4.18	539	62
Matt Tracy L 2015 · 3.96 FIP	26	SW	3.96	14.4%	9.8%	1.5%	.306	4.10	14.7%	5.5%	208	+0.14	3.24	298	62
Adam Wolf L 2023 · 3.95 FIP	26	SW	3.95	17.2%	11.5%	1.5%	.257	5.00	15.2%	6.5%	24	+1.05	3.91	383	62

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	2.3	93	24.5%	13.9%	1.14	4.75
Bob Gibson ('83-'87, -0 WAR*)	1.3	67	20.4%*	14.0%*	1.14*	4.52*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Doug Capilla ('76-'81, 1 WAR*)	1.5	73	20.1%*	13.5%*	0.98*	4.78*
Rob Tejeda ('05-'11, 3 WAR*)	2.2	74	21.8%*	12.6%*	1.00*	4.23*
Michael Kopech ('25)	2.1	103	25.8%	12.5%	1.45	4.14
Touki Toussaint ('25)	1.4	40	23.1%	14.1%	1.24	5.42