Daniel Corniel

P Wisconsin Timber Rattlers

Age 23 RHP 6'0" / 177 lbs A+ peak 0.4 · 2030

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	ACarolina Mudc…	21	21	99	4.29	3.36	22.9%	11.1%	—	K 17.0% · BB 13.1% · FIP 4.27
2025	21	A+MIL	1	0	3	3.00	0.43	33.3%	0.0%	—	K 33.3% · BB 0.0% · FIP 0.29
2026	22	MIX2 levels	17	11	50	5.04	3.98	17.1%	8.1%	—	K 12.6% · BB 11.0% · FIP 4.60
2027PROJ	23	MLBMIL	—	—	0	5.10	5.10	16.2%	11.2%	—
2028PROJ43% MLB	24	MLBMIL	3	3	16	4.89	4.81	18.2%	10.3%	0.1
2029PROJ66% MLB	25	MLBMIL	4	4	24	4.72	4.64	19.4%	9.8%	0.2

Next 3 projected WAR 0.3Projected 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 0.8, comp-based) · star 0% · didn't stick 93%

CompsRyan Atkinson (age 23) · Andrew Quezada (age 24) · Tanner Hall (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130122vR 114

ERA5.10

FIP5.10

K%16.2%

BB%11.2%

K-BB%5.0%

Proj IP29

Value2027 · WAR

Runs saved vs league avg · 29 IP

Grades · Contract

Scouting Grades

K†4050

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)
2022	18	ROK MLE	DSL Brewers 2	10	9	42	183	47	14	3	90%	4.2	17.5%	9.6%	7.9%	1.2%	4.97	3.50	—
2022	18	ROK RAW	DSL Brewers 2	10	9	42	183	47	14	3	90%	4.2	25.7%	7.7%	18.0%	1.6%	4.97	2.79	—
2023	19	ROK MLE	ACL Brewers	11	8	36	161	48	22	3	73%	3.3	20.3%	17.1%	3.2%	2.9%	5.70	5.15	—
2023	19	ROK RAW	ACL Brewers	11	8	36	161	48	22	3	73%	3.3	29.8%	13.7%	16.1%	1.9%	5.70	3.35	—
2024	20	A MLE	Carolina Mudcats	21	21	99	414	95	46	6	100%	4.7	17.0%	13.1%	3.9%	1.7%	4.29	4.27	—
2024	20	A MLE	Carolina Mudcats	21	21	99	414	95	46	6	100%	4.7	17.0%	13.1%	3.9%	1.7%	4.29	4.27	—
2024	20	A RAW	Carolina Mudcats	21	21	99	414	95	46	6	100%	4.7	22.9%	11.1%	11.8%	1.4%	4.29	3.36	—
2025	21	A+ MLE	Wisconsin Timber Rattlers	1	0	3	12	4	0	0	0%	3.0	33.3%	0.0%	33.3%	0.0%	3.00	0.29	—
2025	21	A+ MLE	Wisconsin Timber Rattlers	1	0	3	12	4	0	0	0%	3.0	33.3%	0.0%	33.3%	0.0%	3.00	0.29	—
2025	21	A+ RAW	Wisconsin Timber Rattlers	1	0	3	12	4	0	0	0%	3.0	33.3%	0.0%	33.3%	0.0%	3.00	0.43	—
2026	22	MIX MLE	2 levels	17	11	50	210	36	17	5	65%	2.9	12.6%	11.0%	1.6%	2.1%	5.04	4.60	—
2026	22	MIX MLE	2 levels	17	11	50	210	36	17	5	65%	2.9	12.6%	11.0%	1.6%	2.1%	5.04	4.60	—
2026	22	MIX RAW	2 levels	17	11	50	210	36	17	5	65%	2.9	17.1%	8.1%	9.0%	2.4%	5.04	3.98	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	MIL	—	—	0	—	—	—	—	—	—	16.2%	11.2%	5.0%	2.8%	5.10	5.10	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	MIL	7	7	38	160	29	17	5	100%	5.4	18.2%	10.3%	7.8%	2.8%	4.89	4.81	+0.3
2029	25	MLB MLE	MIL	6	6	36	152	29	15	4	100%	6.0	19.4%	9.8%	9.6%	2.8%	4.72	4.64	+0.3
2030	26	MLB MLE	MIL	6	6	36	152	31	15	4	100%	6.0	20.1%	9.8%	10.3%	2.8%	4.63	4.58	+0.3
2031	27	MLB MLE	MIL	6	6	35	148	30	14	4	100%	5.8	20.1%	9.8%	10.3%	2.9%	4.62	4.61	+0.3
2032	28	MLB MLE	MIL	6	6	33	140	28	14	4	100%	5.5	20.0%	10.0%	10.0%	3.0%	4.67	4.70	+0.3
2028	24	MLB CTX	MIL	3	3	16	68	12	7	2	100%	5.3	18.2%	10.3%	7.8%	2.8%	4.89	4.81	+0.1
2029	25	MLB CTX	MIL	4	4	24	101	20	10	3	100%	6.0	19.4%	9.8%	9.6%	2.8%	4.72	4.64	+0.2
2030	26	MLB CTX	MIL	5	5	29	122	25	12	3	100%	5.8	20.1%	9.8%	10.3%	2.8%	4.63	4.58	+0.3
2031	27	MLB CTX	MIL	5	5	30	127	25	12	4	100%	6.0	20.1%	9.8%	10.3%	2.9%	4.62	4.61	+0.3
2032	28	MLB CTX	MIL	5	5	29	122	24	12	4	100%	5.8	20.0%	10.0%	10.0%	3.0%	4.67	4.70	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		22	22	128	541	107	54	16	100%	5.8	19.7%	9.9%	9.8%	2.9%	4.69	4.27	+1.7
/ 200 IP	—	RAW		34	34	200	844	167	84	25	100%	5.9	19.7%	9.9%	9.8%	2.9%	4.69	4.27	+2.6
Career	—	MLE		60	49	230	980	165	122	18	82%	3.8	16.9%	12.5%	4.4%	1.9%	4.78	4.29	+1.5
/ 200 IP	—	MLE		52	43	200	853	144	107	16	82%	3.8	16.9%	12.5%	4.4%	1.9%	4.78	4.29	+1.7

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 A+Wisconsin Timber Rattlers · 41 IPFIP 3.86 → 4.60 (+0.73)K% 16.4% → 12.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.38%	—	×0.770	12.62%
BB% (unintentional) /BF	9.60%	—	×1.150	11.05%
HR / BF /BF	1.69%	÷1.000	×1.250	2.12%

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 100).

Result: FIP 3.86 → 4.60, 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).

2026 ROKACL Brewers · 9 IPFIP 4.64 → 6.54 (+1.90)K% 21.2% → 14.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.21%	—	×0.680	14.42%
BB% (unintentional) /BF	0.00%	—	×1.250	0.00%
HR / BF /BF	6.06%	÷1.000	×1.400	8.48%

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 100).

Result: FIP 4.64 → 6.54, 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 ACarolina Mudcats · 99 IPFIP 3.37 → 4.27 (+0.90)K% 22.9% → 17.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.95%	—	×0.740	16.98%
BB% (unintentional) /BF	11.11%	—	×1.180	13.11%
HR / BF /BF	1.45%	÷1.101	×1.300	1.71%

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 120).

Result: FIP 3.37 → 4.27, 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 ROKACL Brewers · 36 IPFIP 3.34 → 5.15 (+1.81)K% 29.8% → 20.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.81%	—	×0.680	20.27%
BB% (unintentional) /BF	13.66%	—	×1.250	17.08%
HR / BF /BF	1.86%	÷0.898	×1.400	2.90%

Result: FIP 3.34 → 5.15, 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 ROKDSL Brewers 2 · 42 IPFIP 2.80 → 3.50 (+0.70)K% 25.7% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.68%	—	×0.680	17.46%
BB% (unintentional) /BF	7.65%	—	×1.250	9.56%
HR / BF /BF	1.64%	÷1.899	×1.400	1.21%

Result: FIP 2.80 → 3.50, 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).

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
Daniel Corniel (OGILVIE)	—	—	5.10	16.2%	11.2%	2.8%	—	4.68	19.2%	9.2%	110	-0.42	—	—	—
Ryan Atkinson R 2016 · 4.58 FIP	23	SP-	4.58	18.4%	11.3%	2.9%	.315	4.48	21.6%	9.0%	305	-0.10	4.14	338	93
Andrew Quezada R 2021 · 4.40 FIP	24	SP-	4.40	18.1%	8.1%	3.3%	.312	4.86	14.6%	6.1%	291	+0.46	4.40	412	84
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	84
Brandon White R 2023 · 4.93 FIP	23	SP	4.93	16.7%	10.3%	3.5%	.264	4.05	17.5%	10.6%	280	-0.88	3.90	299	83
Jordan Geber R 2022 · 5.03 FIP	23	SP-	5.03	15.3%	10.7%	3.4%	.341	4.39	15.5%	7.8%	176	-0.64	4.26	241	82
Jeremy Lee R 2024 · 4.17 FIP	22	SP-	4.17	16.8%	11.5%	1.9%	.318	5.21	11.2%	-0.5%	46	+1.04	4.17	125	81
Noah Skirrow R 2021 · 4.55 FIP	23	SP-	4.55	18.4%	11.5%	2.8%	.306	4.71	16.1%	6.1%	316	+0.16	3.97	371	81
Caleb Boushley R 2017 · 4.11 FIP	23	SP	4.11	14.2%	10.0%	1.7%	.351	3.21	18.3%	14.2%	163	-0.90	3.05	790	81
Noah Denoyer R 2021 · 4.51 FIP	23	SP-	4.51	21.5%	12.1%	3.1%	.275	4.10	25.7%	15.7%	121	-0.41	3.26	181	81
Cole Wiper R 2015 · 5.41 FIP	23	SP	5.41	14.6%	10.5%	4.0%	.343	4.52	15.6%	5.2%	136	-0.89	3.97	170	81
Ryan Jensen R 2001 · 5.03 FIP	25	SP-	5.03	13.5%	13.0%	2.6%	.285	4.82	13.4%	5.2%	185	-0.21	4.35	253	81
Carlos Torres R 2009 · 5.24 FIP	26	SP-	5.24	16.9%	11.5%	3.9%	.284	3.59	18.2%	7.3%	67	-1.65	2.89	604	80
Daniel Corcino R 2014 · 4.37 FIP	23	SP-	4.37	18.8%	12.5%	2.3%	.208	4.14	19.6%	10.0%	76	-0.23	3.84	318	80
Allen Webster R 2013 · 6.05 FIP	23	SP	6.05	15.9%	12.4%	5.0%	.309	4.66	14.0%	4.3%	167	-1.39	3.95	267	80
John Maine R 2005 · 6.04 FIP	24	SP-	6.04	13.0%	13.0%	4.3%	.242	4.20	20.9%	11.4%	421	-1.84	3.91	582	79
Rubén Menes R 2024 · 5.62 FIP	22	SP-	5.62	15.8%	15.2%	3.5%	.235	4.77	15.6%	2.4%	81	-0.85	3.39	112	79
Levi Thomas R 2021 · 5.22 FIP	23	SP-	5.22	18.1%	11.9%	3.9%	.328	5.16	20.8%	3.3%	31	-0.06	5.16	116	79
Bradley Brehmer R 2023 · 4.43 FIP	23	SP	4.43	14.6%	9.5%	2.5%	.349	3.27	20.0%	11.5%	94	-1.16	2.83	165	79
Cha Seung Baek R 2004 · 4.77 FIP	24	SP-	4.77	14.4%	7.2%	3.6%	.288	3.95	15.7%	10.0%	108	-0.82	3.35	280	79
Sam Whiting R 2024 · 4.12 FIP	23	SP	4.12	14.6%	12.3%	1.3%	.320	4.88	17.1%	3.5%	105	+0.76	4.12	177	79

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.0	35	19.1%	10.1%	1.11	4.76
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68
Jeff Manship ('16)	1.1	32	16.5%	9.3%	1.05	4.82
Mike Munoz ('89-'00, 1 WAR*)	1.8	46	17.6%*	10.2%*	0.93*	4.46*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*