Joshua Cornielly

P Binghamton Rumble Ponies

Age 26 RHP 6'2" / 175 lbs AA peak 0.1 · 2027

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	22	A+NYM	31	1	51	3.71	3.86	26.4%	7.7%	—	K 20.3% · BB 8.9% · FIP 4.88
2024	23	MIX2 levels	35	0	55	3.42	2.63	31.1%	7.5%	—	K 24.3% · BB 8.5% · FIP 3.36
2025	24	MIX2 levels	37	1	55	3.93	2.75	26.7%	7.9%	—	K 21.7% · BB 8.6% · FIP 3.50
2027PROJ	26	MLBNYM	67	0	70	4.19	4.19	22.5%	8.2%	0.3
2028PROJ38% MLB	27	MLBNYM	25	0	26	4.23	4.24	22.6%	8.4%	0.1
2029PROJ60% MLB	28	MLBNYM	38	0	40	4.29	4.33	22.5%	8.6%	0.1

Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Control50Command55

CompsR.J. Alaniz (age 26) · Colton Murray (age 26) · Jhan Mariñez (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 113105vR 97

ERA4.19

FIP4.19

K%22.5%

BB%8.2%

K-BB%14.3%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 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 + 2027 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+ 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	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	NYM	67	0	70	296	66	24	8	0%	1.0	22.5%	8.2%	14.3%	2.9%	4.19	4.19	+0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	NYM	66	0	69	291	66	24	9	0%	1.0	22.6%	8.4%	14.2%	2.9%	4.23	4.24	+0.3
2029	28	MLB MLE	NYM	64	0	67	282	64	24	9	0%	1.0	22.5%	8.6%	13.9%	3.0%	4.29	4.33	+0.2
2030	29	MLB MLE	NYM	61	0	64	270	60	24	9	0%	1.0	22.3%	8.8%	13.5%	3.2%	4.39	4.46	+0.1
2028	27	MLB CTX	NYM	25	0	26	110	25	9	3	0%	1.0	22.6%	8.4%	14.2%	2.9%	4.23	4.24	+0.1
2029	28	MLB CTX	NYM	38	0	40	169	38	15	5	0%	1.1	22.5%	8.6%	13.9%	3.0%	4.29	4.33	+0.1
2030	29	MLB CTX	NYM	43	0	45	190	42	17	6	0%	1.0	22.3%	8.8%	13.5%	3.2%	4.39	4.46	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		106	0	111	468	105	41	14	0%	1.0	22.5%	8.6%	13.8%	3.1%	4.32	3.98	+0.7
/ 200 IP	—	RAW		190	0	200	844	189	74	25	0%	1.1	22.5%	8.6%	13.8%	3.1%	4.32	3.98	+1.3
Career	—	MLE		161	8	282	1232	245	108	35	5%	1.7	19.9%	8.7%	11.2%	2.8%	4.09	4.08	+0.5
/ 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	+0.5

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)	—	—	4.19	22.5%	8.2%	2.9%	—	4.34	22.5%	13.9%	200	+0.15	—	—	—
R.J. Alaniz R 2017 · 3.91 FIP	26	SU	3.91	20.7%	8.9%	2.6%	.318	3.28	23.8%	15.0%	96	-0.63	2.45	362	87
Colton Murray R 2016 · 3.97 FIP	26	SU	3.97	21.2%	9.4%	2.7%	.295	4.27	21.8%	13.1%	41	+0.30	3.34	187	87
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
Matt Pushard R 2024 · 3.87 FIP	26	SU	3.87	24.1%	8.9%	3.0%	.242	3.29	22.2%	14.0%	115	-0.58	2.84	220	86
Shay Schanaman R 2024 · 4.34 FIP	24	SU	4.34	21.0%	7.6%	3.7%	.292	6.05	16.4%	2.8%	90	+1.71	4.34	148	86
Santiago Casilla R 2007 · 3.58 FIP	27	SU	3.58	23.7%	7.8%	2.7%	.257	3.60	19.8%	10.7%	154	+0.02	2.76	647	86
Joe Broussard R 2017 · 3.83 FIP	26	SU	3.83	23.5%	7.9%	3.1%	.316	3.72	21.1%	12.0%	95	-0.11	2.62	304	86
Simon Castro R 2015 · 3.28 FIP	27	SU	3.28	26.4%	8.5%	2.4%	.320	3.58	26.0%	17.6%	128	+0.30	3.01	185	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
Seth Simmons R 2015 · 3.07 FIP	27	SU	3.07	23.8%	9.7%	1.4%	.277	4.87	16.6%	7.6%	175	+1.80	3.07	251	85
Jose Veras R 2008 · 3.67 FIP	27	SU	3.67	24.9%	9.1%	2.8%	.281	4.10	23.8%	11.7%	169	+0.43	3.37	422	85
Joe Navilhon R 2019 · 3.23 FIP	26	SU	3.23	20.5%	7.7%	1.6%	.322	4.28	23.4%	16.7%	99	+1.05	2.25	273	85
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	85
John Brebbia R 2016 · 4.11 FIP	26	SU	4.11	18.6%	6.6%	3.2%	.346	3.20	27.6%	21.4%	215	-0.91	2.89	576	85
Shawn Armstrong R 2017 · 4.21 FIP	26	SU	4.21	22.1%	9.2%	3.3%	.282	3.18	26.9%	17.2%	144	-1.03	1.79	653	84
Fernery Ozuna R 2022 · 3.84 FIP	26	SU	3.84	22.4%	8.7%	2.8%	.324	5.65	19.0%	7.4%	49	+1.81	3.84	157	84
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	84
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.65	17.5%	6.2%	170	+0.77	3.88	203	84
Trent Harris R 2024 · 3.45 FIP	25	SU	3.45	26.9%	9.5%	2.6%	.258	3.36	24.7%	16.7%	121	-0.09	3.06	198	84
Héctor Neris R 2015 · 4.00 FIP	26	SU	4.00	20.9%	10.0%	2.5%	.298	3.03	31.5%	23.7%	221	-0.97	2.03	682	84

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	1.3	67	22.5%	8.5%	1.16	4.27
Shawn Tolleson ('16)	1.1	54	23.1%	8.3%	1.28	3.92
Michael Tonkin ('25)	1.6	55	23.2%	8.1%	1.28	4.23
Chris Hatcher ('18)	1.3	53	22.9%	8.4%	1.32	4.65
Gary Wayne ('89-'94, 2 WAR*)	1.2	62	19.9%*	9.4%*	1.05*	3.88*
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Barney Schultz ('55-'65, 2 WAR*)	1.7	58	24.6%*	8.3%*	1.28*	3.93*