Daniele Di Monte prospect projection, MLE, ETA

Daniele Di Monte P FCL Tigers

Age 24 RHP 6'2" / 187 lbs ROK

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 9 proj IP

wRC+ AGAINSTvL 128120vR 112

ERA5.01

FIP5.01

K%22.8%

BB%14.2%

K-BB%8.5%

ROS IP9

Value2026 · WAR

Runs saved vs league avg · 9 IP

Grades · Contract

Scouting Grades

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)
2019	17	ROK MLE	FCL Tigers East	9	0	10	52	10	12	0	0%	1.1	13.1%	28.8%	-15.8%	0.0%	5.23	5.65	—
2019	17	ROK RAW	FCL Tigers East	9	0	10	52	10	12	0	0%	1.1	19.2%	23.1%	-3.8%	0.0%	5.23	4.65	—
2021	19	ROK MLE	FCL Tigers West	17	10	32	174	33	29	8	59%	1.9	12.9%	20.8%	-7.9%	7.1%	9.84	8.55	—
2021	19	ROK RAW	FCL Tigers West	17	10	32	174	33	29	8	59%	1.9	19.0%	16.7%	2.3%	4.6%	9.84	7.01	—
2022	20	ROK MLE	FCL Tigers	10	3	20	103	10	25	0	30%	2.0	6.6%	30.3%	-23.7%	0.0%	8.85	6.39	—
2022	20	ROK RAW	FCL Tigers	10	3	20	103	10	25	0	30%	2.0	9.7%	24.3%	-14.6%	0.0%	8.85	5.80	—
2023	21	ROK MLE	FCL Tigers	16	0	16	92	17	22	2	0%	1.0	12.6%	29.9%	-17.3%	3.3%	11.49	7.63	—
2023	21	ROK MLE	FCL Tigers	16	0	16	92	17	22	2	0%	1.0	12.6%	29.9%	-17.3%	3.3%	11.49	7.63	—
2023	21	ROK RAW	FCL Tigers	16	0	16	92	17	22	2	0%	1.0	18.5%	23.9%	-5.4%	2.2%	11.49	6.80	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	24	MLB	DET	—	—	0	—	—	—	—	—	—	22.8%	14.2%	8.5%	3.0%	5.01	5.01	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	25	MLB MLE	DET	19	0	20	84	20	11	3	0%	1.1	23.2%	12.7%	10.6%	3.0%	4.83	4.76	-0.0
2027	25	MLB CTX	DET	9	0	9	38	9	5	1	0%	1.0	23.2%	12.7%	10.6%	3.0%	4.83	4.76	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	8	5	1	0%	1.1	23.2%	12.7%	10.5%	3.0%	4.83	4.38	+0.0
/ 200 IP	—	RAW		190	0	200	844	187	117	23	0%	1.1	23.2%	12.7%	10.5%	3.0%	4.83	4.38	+0.4
Career	—	MLE		52	13	78	421	48	110	15	25%	1.5	11.3%	26.1%	-14.8%	3.7%	9.31	7.46	-0.0
/ 200 IP	—	MLE		133	33	200	1075	122	281	39	25%	1.5	11.3%	26.1%	-14.8%	3.7%	9.31	7.46	-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
Daniele Di Monte (OGILVIE)	—	—	5.01	22.8%	14.2%	3.0%	—	4.76	23.2%	10.6%	20	-0.25	—	—	—
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	82
Hunter Parsons R 2021 · 5.38 FIP	24	SU	5.38	21.4%	15.3%	3.9%	.247	4.78	21.8%	10.2%	115	-0.60	4.73	183	79
Trent Fennell R 2019 · 4.08 FIP	23	SW	4.08	20.6%	12.2%	2.1%	.328	5.52	19.4%	3.5%	107	+1.44	4.08	163	79
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	79
Todd Wellemeyer R 2003 · 5.14 FIP	24	SU	5.14	24.6%	14.8%	4.1%	.290	4.56	18.9%	4.8%	135	-0.58	3.35	615	79
Tyler Schimpf R 2019 · 4.04 FIP	23	SU	4.04	24.3%	15.9%	1.8%	.300	5.63	24.1%	7.1%	58	+1.59	3.37	126	79
Jonathan Papelbon R 2005 · 3.93 FIP	24	SW	3.93	23.0%	10.1%	2.7%	.305	1.90	31.3%	26.8%	196	-2.03	1.33	726	79
Colin McKee R 2018 · 5.00 FIP	24	SU	5.00	24.2%	14.7%	3.8%	.330	4.35	27.7%	12.9%	97	-0.65	4.18	148	79
Harrison Cohen R 2023 · 4.56 FIP	24	SU	4.56	22.4%	13.4%	3.0%	.282	4.18	22.3%	9.0%	119	-0.38	2.12	165	79
Cole Gordon R 2019 · 4.09 FIP	23	SU	4.09	22.0%	12.7%	2.3%	.243	5.19	20.9%	9.5%	83	+1.10	4.09	112	78
Grayson Thurman R 2023 · 4.63 FIP	24	SU	4.63	19.5%	14.1%	2.5%	.319	4.85	19.9%	10.5%	87	+0.22	4.58	132	78
Kevin Kopps R 2022 · 4.56 FIP	25	SU	4.56	20.2%	15.1%	2.3%	.278	4.40	16.3%	4.0%	182	-0.16	3.45	237	77
Maikel Cleto R 2014 · 4.24 FIP	25	SU	4.24	23.2%	15.2%	2.1%	.256	3.45	25.4%	14.5%	106	-0.79	2.59	185	77
Craig Schlitter R 2016 · 4.53 FIP	24	SU	4.53	22.7%	15.4%	2.5%	.298	4.67	14.7%	4.2%	171	+0.14	4.25	222	77
Gabriel Ponce R 2023 · 4.59 FIP	24	SU	4.59	24.1%	14.9%	3.0%	.291	—	—	—	—	—	4.45	161	77
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	77
Tyler Mitzel R 2019 · 4.34 FIP	23	SU	4.34	24.1%	12.0%	3.2%	.245	4.10	22.4%	14.3%	96	-0.24	4.03	142	77
Logan VanWey R 2023 · 4.34 FIP	24	SU	4.34	23.9%	14.0%	2.7%	.301	3.74	25.9%	15.2%	147	-0.60	2.97	194	77
William Kempner R 2023 · 4.02 FIP	22	SU	4.02	21.5%	12.2%	2.2%	.277	3.17	28.8%	15.2%	112	-0.85	3.14	173	77
Ben Hecht R 2019 · 4.51 FIP	24	SU	4.51	22.7%	12.9%	3.1%	.293	7.98	14.1%	-11.4%	13	+3.47	4.39	155	76