Felipe De La Cruz

Felipe De La Cruz P Binghamton Rumble Ponies

Age 25 LHP 6'0" / 160 lbs AA peak 0.1 · 2027

2026 ROS PROJECTION47 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 105113vR 122

ERA4.65

FIP4.65

K%24.2%

BB%12.8%

K-BB%11.4%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 53 IP

Grades · Contract

Scouting Grades

STUF5555

CMD3030

K†6060

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 industry-standard fWAR.

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 + 2026 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 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	26.0%	11.2%	14.7%	3.8%	5.04	4.42	—
2025	24	MIX MLE	2 levels	33	6	64	283	90	32	10	18%	1.9	26.0%	11.2%	14.7%	3.8%	5.04	4.42	—
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 season
YTD	25	AAA MLE	Syracuse Mets	36	1	47	197	59	25	3	3%	1.3	24.1%	15.4%	8.7%	1.3%	2.87	3.76	—
YTD	25	AAA MLE	Syracuse Mets	36	1	47	197	59	25	3	3%	1.3	24.1%	15.4%	8.7%	1.3%	2.87	3.76	—
▸ 2026 season — so far · projected rest · full
2026	25	AA RAW	NYM	33	1	42	178	53	25	2	3%	1.3	29.8%	14.0%	15.7%	1.1%	2.81	2.98	—
2026	25	AAA RAW	NYM	3	0	5	19	6	0	1	0%	1.8	31.6%	0.0%	31.6%	5.3%	3.38	3.32	—
ROS	25	MLB MLE	NYM	6	0	6	27	6	3	1	0%	1.1	24.2%	12.8%	11.4%	2.9%	4.65	4.65	-0.0
2026 TOT	25	MLB MLE	NYM	—	—	53	224	65	28	4	—	—	29.3%	12.7%	16.6%	1.7%	3.08	3.87	+0.4
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	26	MLB MLE	NYM	121	0	127	537	130	66	16	0%	1.1	24.2%	12.3%	12.0%	2.9%	4.60	4.59	-0.1
2028	27	MLB MLE	NYM	119	0	125	529	127	63	16	0%	1.1	24.0%	12.0%	12.0%	3.0%	4.59	4.60	-0.1
2029	28	MLB MLE	NYM	116	0	122	513	122	61	16	0%	1.0	23.8%	11.9%	11.9%	3.1%	4.63	4.67	-0.2
2030	29	MLB MLE	NYM	111	0	116	490	115	59	16	0%	1.0	23.5%	12.0%	11.5%	3.2%	4.72	4.79	-0.3
2031	30	MLB MLE	NYM	104	0	109	461	107	57	16	0%	1.0	23.2%	12.3%	10.8%	3.4%	4.87	4.96	-0.5
2027	26	MLB CTX	NYM	53	0	56	236	57	29	7	0%	1.1	24.2%	12.3%	12.0%	2.9%	4.60	4.59	-0.0
2028	27	MLB CTX	NYM	76	0	80	338	81	40	10	0%	1.1	24.0%	12.0%	12.0%	3.0%	4.59	4.60	-0.0
2029	28	MLB CTX	NYM	88	0	92	388	92	46	12	0%	1.0	23.8%	11.9%	11.9%	3.1%	4.63	4.67	-0.1
2030	29	MLB CTX	NYM	90	0	95	401	94	48	13	0%	1.1	23.5%	12.0%	11.5%	3.2%	4.72	4.79	-0.3
2031	30	MLB CTX	NYM	90	0	94	397	92	49	14	0%	1.0	23.2%	12.3%	10.8%	3.4%	4.87	4.96	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		396	0	416	1755	416	213	55	0%	1.0	23.7%	12.1%	11.6%	3.1%	4.69	4.36	+0.9
/ 200 IP	—	RAW		190	0	200	844	200	102	26	0%	1.0	23.7%	12.1%	11.6%	3.1%	4.69	4.36	+0.5
Career	—	MLE		144	71	406	1755	372	210	33	49%	2.8	21.2%	12.0%	9.2%	1.9%	4.12	3.84	-1.2
/ 200 IP	—	MLE		71	35	200	864	183	103	16	49%	2.8	21.2%	12.0%	9.2%	1.9%	4.12	3.84	-0.4

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)	—	—	4.65	24.2%	12.8%	2.9%	—	4.62	24.0%	12.0%	374	-0.03	—	—	—
Zack Thompson L 2023 · 4.50 FIP	25	SP-	4.50	22.8%	12.9%	3.1%	.355	4.69	23.0%	10.8%	107	+0.19	2.03	402	74
Hayden Wynja L 2023 · 4.74 FIP	24	SP-	4.74	20.5%	10.5%	3.7%	.315	4.79	18.0%	7.5%	56	+0.05	4.74	154	73
Adam Wolf L 2022 · 3.91 FIP	25	SW	3.91	19.4%	10.6%	2.0%	.292	4.18	16.8%	5.9%	109	+0.27	3.91	383	73
Garrett Schoenle L 2023 · 5.38 FIP	25	SP-	5.38	20.5%	15.0%	3.9%	.307	3.59	20.9%	12.2%	172	-1.79	2.32	359	72
Nick Maronde L 2015 · 3.85 FIP	25	SW	3.85	18.3%	8.9%	2.1%	.359	3.62	16.3%	8.9%	48	-0.23	3.62	133	72
Brian Flynn L 2016 · 3.80 FIP	26	SU	3.80	21.3%	11.1%	2.0%	.258	4.39	16.6%	8.2%	198	+0.59	3.80	277	71
Lael Lockhart L 2023 · 4.29 FIP	25	SW	4.29	22.6%	12.9%	2.7%	.302	4.94	19.6%	8.8%	307	+0.65	3.59	520	71
Brent Headrick L 2023 · 4.54 FIP	25	SW	4.54	22.6%	7.6%	4.3%	.299	2.87	28.1%	21.0%	138	-1.67	2.21	409	71
Keyshawn Askew L 2023 · 3.70 FIP	23	SW	3.70	24.1%	12.4%	1.9%	.278	3.91	17.4%	-0.6%	99	+0.21	3.32	262	71
Brad Hand L 2015 · 3.95 FIP	25	SW	3.95	16.4%	7.6%	2.3%	.326	2.71	32.9%	25.0%	241	-1.24	0.84	577	70
Kyle Bird L 2018 · 3.70 FIP	25	SU	3.70	24.4%	11.3%	2.2%	.250	5.52	20.6%	6.3%	47	+1.82	2.70	379	69
Chris Murphy L 2023 · 4.02 FIP	25	SW	4.02	21.5%	9.7%	2.8%	.344	3.80	20.9%	9.3%	107	-0.22	3.34	461	69
Framber Valdez L 2019 · 3.88 FIP	25	SW	3.88	25.3%	12.2%	2.5%	.304	3.11	23.5%	15.2%	407	-0.77	2.56	1,565	69
Garrett Irvin L 2023 · 4.42 FIP	24	SU	4.42	23.2%	11.6%	3.3%	.283	4.32	17.7%	2.9%	39	-0.10	4.32	110	68
Tony Cingrani L 2015 · 3.60 FIP	26	SU	3.60	25.8%	12.9%	1.9%	.305	3.84	25.4%	15.7%	128	+0.24	1.68	186	68
Larson Kindreich L 2023 · 5.29 FIP	24	SW	5.29	21.5%	18.8%	3.0%	.269	4.68	23.0%	9.0%	79	-0.61	4.16	214	68
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	67
Parker Mushinski L 2021 · 3.50 FIP	25	SW	3.50	24.7%	9.0%	2.5%	.357	4.06	21.3%	11.5%	143	+0.56	3.11	455	67
Sean Mellen L 2022 · 4.01 FIP	24	SU	4.01	21.3%	10.4%	2.5%	.285	—	—	—	—	—	4.01	101	66
Jared Beck L 2023 · 4.15 FIP	23	SP-	4.15	21.1%	15.9%	1.5%	.338	6.15	20.1%	-8.4%	82	+2.00	4.15	158	66

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	3.6	121	23.8%	12.2%	1.19	4.67
James Kaprielian ('23)	1.6	105	20.5%	9.6%	1.26	4.58
Ian Anderson ('22)	1.4	91	22.5%	10.4%	0.96	3.97
Triston McKenzie ('24)	2.1	105	26.0%	9.4%	1.52	3.94
Julio Teheran ('23)	5.2	147	20.4%	8.8%	1.34	4.12
Aaron Sanchez ('22)	3.3	93	18.1%	10.0%	0.98	4.32
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48