Joshua Cornielly

Joshua Cornielly P Binghamton Rumble Ponies

Age 25 RHP 6'2" / 175 lbs AA peak 0.2 · 2026

2026 ROS PROJECTION0 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 112104vR 96

ERA4.15

FIP4.15

K%22.5%

BB%8.2%

K-BB%14.3%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 6 IP

Grades · Contract

Scouting Grades

STUF5050

CTRL5050

CMD5555

K†5555

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)
2018	17	ROK MLE	DSL Mets 1	14	0	28	126	27	7	0	0%	2.0	14.6%	6.9%	7.6%	0.0%	3.25	2.75	—
2018	17	ROK RAW	DSL Mets 1	14	0	28	126	27	7	0	0%	2.0	21.4%	5.6%	15.9%	0.0%	3.25	1.91	—
2019	18	ROK MLE	GCL Mets	13	6	46	202	52	9	3	46%	3.5	17.5%	5.6%	11.9%	2.1%	4.89	3.47	—
2019	18	ROK RAW	GCL Mets	13	6	46	202	52	9	3	46%	3.5	25.7%	4.5%	21.3%	1.5%	4.89	2.27	—
2022	21	A MLE	St. Lucie Mets	31	0	47	216	53	24	8	0%	1.5	18.2%	13.1%	5.0%	5.1%	5.21	6.01	—
2022	21	A RAW	St. Lucie Mets	31	0	47	216	53	24	8	0%	1.5	24.5%	11.1%	13.4%	3.7%	5.21	4.60	—
2023	22	A+ MLE	Brooklyn Cyclones	31	1	51	220	58	17	8	3%	1.6	20.3%	8.9%	11.4%	4.3%	3.71	4.88	—
2023	22	A+ MLE	Brooklyn Cyclones	31	1	51	220	58	17	8	3%	1.6	20.3%	8.9%	11.4%	4.3%	3.71	4.88	—
2023	22	A+ RAW	Brooklyn Cyclones	31	1	51	220	58	17	8	3%	1.6	26.4%	7.7%	18.6%	3.6%	3.71	3.86	—
2024	23	MIX MLE	2 levels	35	0	55	228	71	17	5	0%	1.6	24.3%	8.5%	15.9%	2.3%	3.42	3.36	—
2024	23	MIX MLE	2 levels	35	0	55	228	71	17	5	0%	1.6	24.3%	8.5%	15.9%	2.3%	3.42	3.36	—
2024	23	MIX RAW	2 levels	35	0	55	228	71	17	5	0%	1.6	31.1%	7.5%	23.7%	2.2%	3.42	2.63	—
2025	24	MIX MLE	2 levels	37	1	55	240	64	19	4	3%	1.5	21.7%	8.6%	13.2%	2.1%	3.93	3.50	—
2025	24	MIX MLE	2 levels	37	1	55	240	64	19	4	3%	1.5	21.7%	8.6%	13.2%	2.1%	3.93	3.50	—
2025	24	MIX RAW	2 levels	37	1	55	240	64	19	4	3%	1.5	26.7%	7.9%	18.8%	1.7%	3.93	2.75	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	25	MLB	NYM	6	0	6	25	6	2	1	0%	1.0	22.5%	8.2%	14.3%	2.8%	4.15	4.15	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	26	MLB MLE	NYM	67	0	70	296	67	24	8	0%	1.0	22.8%	8.3%	14.5%	2.8%	4.15	4.15	+0.3
2028	27	MLB MLE	NYM	66	0	69	291	66	25	8	0%	1.0	22.8%	8.4%	14.4%	2.9%	4.18	4.20	+0.3
2029	28	MLB MLE	NYM	64	0	67	282	64	24	8	0%	1.0	22.7%	8.6%	14.1%	3.0%	4.25	4.29	+0.2
2030	29	MLB MLE	NYM	61	0	64	270	61	24	8	0%	1.0	22.5%	8.8%	13.6%	3.1%	4.35	4.42	+0.1
2027	26	MLB CTX	NYM	30	0	31	131	30	11	4	0%	1.0	22.8%	8.3%	14.5%	2.8%	4.15	4.15	+0.1
2028	27	MLB CTX	NYM	42	0	44	186	42	16	5	0%	1.0	22.8%	8.4%	14.4%	2.9%	4.18	4.20	+0.2
2029	28	MLB CTX	NYM	49	0	51	215	49	19	6	0%	1.0	22.7%	8.6%	14.1%	3.0%	4.25	4.29	+0.2
2030	29	MLB CTX	NYM	50	0	52	220	49	19	7	0%	1.0	22.5%	8.8%	13.6%	3.1%	4.35	4.42	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		169	0	177	748	170	64	22	0%	1.0	22.7%	8.6%	14.1%	3.0%	4.24	3.90	+1.4
/ 200 IP	—	RAW		190	0	200	844	192	72	25	0%	1.1	22.7%	8.6%	14.1%	3.0%	4.24	3.90	+1.5
Career	—	MLE		161	8	282	1232	245	108	35	5%	1.7	19.9%	8.7%	11.2%	2.8%	4.09	4.08	+0.9
/ 200 IP	—	MLE		114	6	200	875	174	77	25	5%	1.7	19.9%	8.7%	11.2%	2.8%	4.09	4.08	+0.7

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
Joshua Cornielly (OGILVIE)	—	—	4.15	22.5%	8.2%	2.8%	—	4.21	22.7%	14.3%	206	+0.06	—	—	—
Alex Phillips R 2019 · 3.26 FIP	24	SU	3.26	22.0%	8.0%	1.8%	.263	4.62	23.2%	14.6%	72	+1.36	3.26	139	90
Nick Merkel R 2023 · 3.99 FIP	25	SU	3.99	22.8%	7.1%	3.5%	.284	3.44	20.7%	10.3%	129	-0.55	3.15	205	89
Barrett Loseke R 2022 · 4.42 FIP	25	SU	4.42	21.7%	10.1%	3.4%	.311	5.31	22.6%	11.3%	22	+0.89	4.42	152	89
Josh Martin R 2015 · 3.16 FIP	25	SU	3.16	24.1%	7.4%	2.1%	.257	2.96	20.7%	13.6%	124	-0.20	2.41	225	89
Nelson Gonzalez R 2015 · 3.42 FIP	25	SU	3.42	19.6%	7.7%	1.8%	.293	4.98	17.7%	7.8%	115	+1.56	3.42	258	89
Austin Ross R 2019 · 4.41 FIP	24	SU	4.41	20.7%	9.6%	3.4%	.281	5.19	21.2%	5.7%	55	+0.78	4.41	121	89
Randall Delgado R 2015 · 3.61 FIP	25	SU	3.61	23.7%	10.1%	2.2%	.284	3.78	20.3%	12.4%	167	+0.17	3.09	290	88
Matt Pierpont R 2016 · 3.51 FIP	25	SU	3.51	20.7%	8.6%	1.9%	.295	3.41	21.6%	13.6%	156	-0.10	2.76	280	87
Casey Cobb R 2021 · 3.48 FIP	25	SU	3.48	21.8%	6.2%	2.6%	.261	5.59	17.2%	8.3%	118	+2.11	3.48	191	86
Jhan Mariñez R 2015 · 3.50 FIP	26	SU	3.50	23.1%	9.3%	2.1%	.244	3.70	18.9%	11.1%	168	+0.20	3.16	253	86
Joshua Loeschorn R 2023 · 3.86 FIP	23	SU	3.86	24.5%	7.7%	3.4%	.272	4.43	17.1%	8.4%	83	+0.57	3.08	151	86
J.R. Graham R 2015 · 4.39 FIP	25	SU	4.39	18.7%	7.4%	3.5%	.317	3.63	20.4%	10.1%	61	-0.76	3.31	125	86
Matt Carasiti R 2016 · 3.68 FIP	25	SU	3.68	22.2%	7.6%	2.7%	.313	3.36	23.4%	12.8%	93	-0.32	2.80	312	86
Tyler Schoff R 2023 · 3.69 FIP	24	SU	3.69	25.2%	8.7%	3.0%	.315	4.26	16.1%	6.4%	75	+0.57	3.69	190	85
Trey McLoughlin R 2023 · 3.79 FIP	24	SU	3.79	23.7%	8.4%	3.0%	.295	4.59	20.8%	8.4%	121	+0.80	3.77	244	85
Jason Stoffel R 2015 · 3.61 FIP	26	SU	3.61	23.4%	10.1%	2.2%	.267	3.49	27.2%	19.2%	59	-0.12	3.49	103	85
Danny Barnes R 2015 · 3.18 FIP	25	SU	3.18	22.9%	7.1%	2.0%	.355	3.38	24.9%	17.6%	182	+0.20	1.75	243	85
Chris Jefferson R 2022 · 3.53 FIP	25	SU	3.53	22.4%	10.2%	1.9%	.330	4.99	16.5%	3.9%	101	+1.46	3.53	140	85
Matt Marsh R 2016 · 3.79 FIP	25	SU	3.79	21.0%	8.2%	2.6%	.273	3.13	18.5%	5.9%	15	-0.66	3.13	143	85
Joe Colón J R 2015 · 3.27 FIP	25	SU	3.27	19.4%	7.4%	1.6%	.312	4.07	20.7%	7.8%	65	+0.80	3.27	113	84

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	1.7	68	22.6%	8.5%	1.13	4.21
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Archie Bradley ('21)	2.2	74	23.2%	9.8%	0.85	3.93
Derek Law ('24)	1.5	60	21.5%	8.9%	0.88	3.47
Trevor Gott ('23)	1.0	51	22.0%	7.4%	0.79	3.97
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58