Charlie McDaniel

P Richmond Flying Squirrels

Age 26 LHP 6'3" / 208 lbs AA peak 0.5 · 2028

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	24	MIX2 levels	23	12	100	3.68	2.99	23.0%	6.1%	—	K 17.3% · BB 7.1% · FIP 3.81
2026	25	MIX2 levels	25	25	119	5.37	4.42	19.4%	7.1%	—	K 15.4% · BB 7.8% · FIP 5.27
2027PROJ	26	MLBSF	13	13	79	5.18	5.18	14.5%	7.9%	-0.2
2028PROJ38% MLB	27	MLBSF	7	7	40	5.11	5.13	15.3%	7.9%	-0.1
2029PROJ60% MLB	28	MLBSF	10	10	61	5.10	5.15	15.7%	8.1%	-0.2

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

Stuff40Control55Command45

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 0% · didn't stick 94%

CompsMiguel Cienfuegos (age 26) · Michael O'Connor (age 25) · Kyle Hald (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115123vR 132

ERA5.18

FIP5.18

K%14.5%

BB%7.9%

K-BB%6.7%

Proj IP79

Value2027 · WAR

Runs saved vs league avg · 79 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL5555

CMD4545

K†3030

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)
2025	24	MIX MLE	2 levels	23	12	100	413	95	25	8	52%	4.4	17.3%	7.1%	10.2%	2.3%	3.68	3.81	—
2025	24	MIX MLE	2 levels	23	12	100	413	95	25	8	52%	4.4	17.3%	7.1%	10.2%	2.3%	3.68	3.81	—
2025	24	MIX RAW	2 levels	23	12	100	413	95	25	8	52%	4.4	23.0%	6.1%	16.9%	1.9%	3.68	2.99	—
2026	25	MIX MLE	2 levels	25	25	119	510	99	36	19	100%	4.8	15.4%	7.8%	7.6%	4.5%	5.37	5.27	—
2026	25	MIX MLE	2 levels	25	25	119	510	99	36	19	100%	4.8	15.4%	7.8%	7.6%	4.5%	5.37	5.27	—
2026	25	MIX RAW	2 levels	25	25	119	510	99	36	19	100%	4.8	19.4%	7.1%	12.4%	3.7%	5.37	4.42	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	SF	13	13	79	334	49	26	12	100%	6.1	14.5%	7.9%	6.7%	3.5%	5.18	5.18	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	SF	18	18	106	445	68	35	16	100%	5.9	15.3%	7.9%	7.3%	3.5%	5.11	5.13	-0.3
2029	28	MLB MLE	SF	17	17	102	432	68	35	15	100%	6.0	15.7%	8.1%	7.6%	3.6%	5.10	5.15	-0.3
2030	29	MLB MLE	SF	16	16	98	413	65	34	15	100%	6.1	15.7%	8.3%	7.5%	3.7%	5.16	5.23	-0.4
2031	30	MLB MLE	SF	15	15	92	388	60	33	15	100%	6.1	15.6%	8.6%	7.0%	3.9%	5.29	5.38	-0.5
2028	27	MLB CTX	SF	7	7	40	169	26	13	6	100%	5.7	15.3%	7.9%	7.3%	3.5%	5.11	5.13	-0.1
2029	28	MLB CTX	SF	10	10	61	258	40	21	9	100%	6.1	15.7%	8.1%	7.6%	3.6%	5.10	5.15	-0.2
2030	29	MLB CTX	SF	12	12	69	291	46	24	11	100%	5.8	15.7%	8.3%	7.5%	3.7%	5.16	5.23	-0.3
2031	30	MLB CTX	SF	12	12	72	304	47	26	12	100%	6.0	15.6%	8.6%	7.0%	3.9%	5.29	5.38	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		40	40	242	1020	159	84	38	100%	6.0	15.6%	8.3%	7.3%	3.7%	5.18	4.86	+0.1
/ 200 IP	—	RAW		33	33	200	844	132	70	31	100%	6.0	15.6%	8.3%	7.3%	3.7%	5.18	4.86	+0.1
Career	—	MLE		48	37	219	923	150	69	33	77%	4.6	16.2%	7.5%	8.7%	3.5%	4.60	4.62	-1.4
/ 200 IP	—	MLE		44	34	200	842	137	63	30	77%	4.6	16.2%	7.5%	8.7%	3.5%	4.60	4.62	-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
Charlie McDaniel (OGILVIE)	—	—	5.18	14.5%	7.9%	3.5%	—	5.17	15.6%	7.5%	306	-0.01	—	—	—
Miguel Cienfuegos L 2023 · 5.12 FIP	26	SP	5.12	13.6%	10.5%	3.4%	.257	4.54	14.3%	5.8%	242	-0.58	2.95	313	87
Michael O'Connor L 2006 · 4.93 FIP	25	SP	4.93	13.0%	8.8%	3.3%	.238	—	—	—	—	—	4.93	105	83
Kyle Hald L 2015 · 4.33 FIP	26	SP	4.33	12.1%	7.4%	2.4%	.313	—	—	—	—	—	4.33	124	81
Scott Downs L 2000 · 4.63 FIP	24	SP	4.63	14.3%	8.8%	2.9%	.333	—	—	—	—	—	2.68	748	80
Edgar Osuna L 2017 · 5.05 FIP	29	SP	5.05	10.6%	8.2%	3.3%	.345	5.09	10.0%	2.8%	83	+0.04	5.05	175	80
Luis Leroy Cruz L 2015 · 5.03 FIP	24	SP-	5.03	16.0%	10.1%	3.7%	.289	—	—	—	—	—	5.03	116	79
Justin Marks L 2015 · 4.60 FIP	27	SP-	4.60	15.4%	10.5%	2.7%	.323	3.88	19.0%	9.1%	216	-0.72	3.83	324	79
Dylan Dodd L 2024 · 4.71 FIP	26	SP-	4.71	17.5%	6.0%	4.2%	.338	3.97	26.5%	21.7%	123	-0.74	3.31	475	79
Jack Snodgrass L 2015 · 4.66 FIP	27	SP-	4.66	12.6%	10.7%	2.3%	.278	5.01	15.7%	5.6%	45	+0.35	4.66	118	78
Danny Wirchansky L 2024 · 4.47 FIP	27	SP-	4.47	16.2%	7.4%	3.3%	.246	5.88	13.0%	0.2%	68	+1.41	4.47	179	78
Jared Koenig L 2021 · 5.11 FIP	27	SP	5.11	16.0%	9.4%	4.0%	.270	3.78	20.1%	12.4%	267	-1.33	2.79	475	78
Matthew Crownover L 2018 · 4.48 FIP	25	SP	4.48	12.1%	7.5%	2.7%	.294	—	—	—	—	—	4.35	377	78
Kramer Sneed L 2016 · 4.21 FIP	27	SP	4.21	13.2%	8.2%	2.2%	.265	—	—	—	—	—	4.21	116	77
Lance Davis L 2001 · 4.49 FIP	24	SP	4.49	11.5%	7.4%	2.6%	.309	—	—	—	—	—	4.49	106	77
Bryan Radziewski L 2015 · 4.15 FIP	23	SP-	4.15	16.4%	10.5%	2.0%	.280	—	—	—	—	—	4.15	106	77
Alejandro Soto L 2015 · 4.41 FIP	29	SP	4.41	12.8%	7.0%	2.7%	.367	4.07	14.6%	9.1%	128	-0.34	3.96	280	77
Jeffry Antigua L 2015 · 4.60 FIP	25	SP-	4.60	11.4%	8.6%	2.5%	.271	—	—	—	—	—	4.60	133	76
Grant Watson L 2017 · 4.70 FIP	24	SP-	4.70	16.4%	10.3%	3.0%	.344	—	—	—	—	—	2.59	180	76
Sean West L 2009 · 4.32 FIP	23	SP	4.32	15.0%	9.4%	2.4%	.304	—	—	—	—	—	4.32	103	76
Matt Lujan L 2015 · 4.06 FIP	26	SP	4.06	15.5%	10.0%	1.8%	.326	4.84	16.0%	7.6%	119	+0.78	4.06	227	76

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 3,327 pitcher careers (1,251 from 1990-2025 + 2,076 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	2.4	95	15.4%	8.1%	1.41	5.16
Euel Moore ('34-'36, 0 WAR*)	1.1	75	16.0%*	8.8%*	1.39*	5.07*
Ramon Garcia ('97)	1.6	104	15.1%	7.9%	1.44	4.84
Al Sima ('50-'54, -1 WAR*)	1.5	77	15.8%*	8.0%*	1.37*	4.76*
Philip Humber ('13)	1.9	93	16.7%	7.9%	1.29	5.31
Pete Burnside ('55-'63, -2 WAR*)	2.8	95	17.6%*	8.6%*	1.33*	5.17*
Claudio Vargas ('10)	3.8	109	16.2%	8.7%	1.49	4.83