Rodney Boone

P Akron RubberDucks

Age 27 LHP 6'1" / 195 lbs AA peak 0.6 · 2027

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	AACLE	9	7	39	3.26	3.72	22.3%	8.9%	—	K 18.1% · BB 9.8% · FIP 4.56
2025	25	AACLE	18	18	78	2.31	2.93	22.9%	7.0%	—	K 18.5% · BB 7.7% · FIP 3.64
2027PROJ	27	MLBCLE	1	1	1	4.50	4.50	18.4%	8.0%	0.0
2028PROJ38% MLB	28	MLBCLE	4	4	23	4.53	4.56	18.8%	8.2%	0.2
2029PROJ56% MLB	29	MLBCLE	5	5	31	4.61	4.68	18.9%	8.5%	0.3

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

Stuff45Control55Command50

CompsMiguel Pena (age 26) · Ryan Bollinger (age 27) · Alejandro Soto (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 102111vR 119

ERA4.50

FIP4.50

K%18.4%

BB%8.0%

K-BB%10.4%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL5555

CMD5050

K†4545

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	22	MIX MLE	2 levels	23	23	114	467	137	29	18	100%	5.0	22.2%	7.2%	15.0%	4.3%	3.54	4.51	—
2022	22	MIX RAW	2 levels	23	23	114	467	137	29	18	100%	5.0	29.3%	6.2%	23.1%	3.9%	3.54	3.51	—
2023	23	A+ MLE	Lake County Captains	18	17	80	348	90	32	14	94%	4.4	19.9%	10.6%	9.3%	4.7%	4.95	5.36	—
2023	23	A+ RAW	Lake County Captains	18	17	80	348	90	32	14	94%	4.4	25.9%	9.2%	16.7%	4.0%	4.95	4.33	—
2024	24	AA MLE	Akron RubberDucks	9	7	39	157	35	14	4	78%	4.3	18.1%	9.8%	8.2%	3.2%	3.26	4.56	—
2024	24	AA MLE	Akron RubberDucks	9	7	39	157	35	14	4	78%	4.3	18.1%	9.8%	8.2%	3.2%	3.26	4.56	—
2024	24	AA RAW	Akron RubberDucks	9	7	39	157	35	14	4	78%	4.3	22.3%	8.9%	13.4%	2.5%	3.26	3.72	—
2025	25	AA MLE	Akron RubberDucks	18	18	78	315	72	22	5	100%	4.3	18.5%	7.7%	10.8%	2.1%	2.31	3.64	—
2025	25	AA MLE	Akron RubberDucks	18	18	78	315	72	22	5	100%	4.3	18.5%	7.7%	10.8%	2.1%	2.31	3.64	—
2025	25	AA RAW	Akron RubberDucks	18	18	78	315	72	22	5	100%	4.3	22.9%	7.0%	15.9%	1.6%	2.31	2.93	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	CLE	1	1	1	4	1	0	0	100%	1.0	18.4%	8.0%	10.4%	2.9%	4.50	4.50	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	CLE	10	10	62	261	49	21	8	100%	6.2	18.8%	8.2%	10.5%	3.0%	4.53	4.56	+0.6
2029	29	MLB MLE	CLE	9	9	55	233	44	20	7	100%	6.1	18.9%	8.5%	10.3%	3.1%	4.61	4.68	+0.5
2028	28	MLB CTX	CLE	4	4	23	97	18	8	3	100%	5.8	18.8%	8.2%	10.5%	3.0%	4.53	4.56	+0.2
2029	29	MLB CTX	CLE	5	5	31	131	25	11	4	100%	6.2	18.9%	8.5%	10.3%	3.1%	4.61	4.68	+0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	9	54	228	43	19	7	100%	6.0	18.8%	8.4%	10.4%	3.1%	4.58	4.25	+0.7
/ 200 IP	—	RAW		33	33	200	844	160	70	26	100%	6.0	18.8%	8.4%	10.4%	3.1%	4.58	4.25	+2.7
Career	—	MLE		68	65	311	1287	260	110	48	96%	4.6	20.2%	8.5%	11.6%	3.7%	3.56	4.53	+1.1
/ 200 IP	—	MLE		44	42	200	828	167	71	31	96%	4.6	20.2%	8.5%	11.6%	3.7%	3.56	4.53	+1.8

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.

2025 AAAkron RubberDucks · 78 IPFIP 2.93 → 3.64 (+0.71)K% 22.9% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.86%	—	×0.810	18.51%
BB% (unintentional) /BF	6.98%	—	×1.100	7.68%
HR / BF /BF	1.59%	÷0.926	×1.200	2.06%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 85).

Result: FIP 2.93 → 3.64, 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 AAAkron RubberDucks · 39 IPFIP 3.75 → 4.56 (+0.81)K% 22.3% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.29%	—	×0.810	18.06%
BB% (unintentional) /BF	8.92%	—	×1.100	9.81%
HR / BF /BF	2.55%	÷0.966	×1.200	3.17%

Result: FIP 3.75 → 4.56, 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 A+Lake County Captains · 80 IPFIP 4.29 → 5.36 (+1.07)K% 25.9% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.86%	—	×0.770	19.91%
BB% (unintentional) /BF	9.20%	—	×1.150	10.57%
HR / BF /BF	4.02%	÷1.060	×1.250	4.75%

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 112).

Result: FIP 4.29 → 5.36, 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 A+Lake County Captains · 66 IPFIP 4.94 → 5.91 (+0.97)K% 26.2% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.24%	—	×0.770	20.21%
BB% (unintentional) /BF	7.45%	—	×1.150	8.56%
HR / BF /BF	5.67%	÷1.134	×1.250	6.25%

Result: FIP 4.94 → 5.91, 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 ALynchburg Hillcats · 49 IPFIP 1.37 → 2.38 (+1.01)K% 34.1% → 25.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.05%	—	×0.740	25.20%
BB% (unintentional) /BF	4.32%	—	×1.180	5.10%
HR / BF /BF	1.08%	÷1.015	×1.300	1.38%

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 103).

Result: FIP 1.37 → 2.38, 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
Rodney Boone (OGILVIE)	—	—	4.50	18.4%	8.0%	2.9%	—	4.62	18.8%	10.5%	117	+0.12	—	—	—
Miguel Pena L 2017 · 3.97 FIP	26	SP	3.97	16.8%	8.2%	2.3%	.288	5.08	16.0%	9.0%	68	+1.11	2.98	282	81
Ryan Bollinger L 2018 · 3.56 FIP	27	SP	3.56	17.1%	7.5%	1.7%	.290	—	—	—	—	—	3.56	112	78
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	76
Misael Siverio L 2015 · 3.89 FIP	26	SP	3.89	16.8%	10.8%	1.5%	.343	4.32	17.3%	8.2%	63	+0.43	3.89	185	75
Seth Lonsway L 2024 · 3.35 FIP	25	SP	3.35	16.0%	7.6%	1.2%	.301	4.52	15.2%	3.1%	226	+1.17	3.35	506	75
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	75
Michael O'Connor L 2006 · 4.93 FIP	25	SP	4.93	13.0%	8.8%	3.3%	.238	—	—	—	—	—	4.93	105	75
Chipper Smith L 2015 · 3.81 FIP	25	SP-	3.81	15.6%	9.5%	1.5%	.321	—	—	—	—	—	3.81	109	75
Marlon Arias L 2015 · 4.32 FIP	30	SP	4.32	16.8%	12.2%	2.0%	.330	3.73	17.2%	9.5%	22	-0.59	3.73	154	74
Orlando Lara L 2015 · 4.29 FIP	30	SP	4.29	15.2%	10.3%	2.1%	.348	4.08	14.2%	7.2%	230	-0.21	3.85	426	74
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	73
Kramer Sneed L 2016 · 4.21 FIP	27	SP	4.21	13.2%	8.2%	2.2%	.265	—	—	—	—	—	4.21	116	73
Ben Holmes L 2019 · 5.57 FIP	27	SP	5.57	19.7%	11.1%	5.0%	.331	—	—	—	—	—	3.09	451	73
Kyle Hald L 2015 · 4.33 FIP	26	SP	4.33	12.1%	7.4%	2.4%	.313	—	—	—	—	—	4.33	124	73
T.J. Sikkema L 2024 · 3.57 FIP	26	SP-	3.57	18.5%	6.0%	2.3%	.282	4.10	16.1%	7.2%	87	+0.53	3.57	300	73
Reid VanScoter L 2024 · 4.03 FIP	25	SP	4.03	16.7%	7.7%	2.5%	.296	4.52	17.1%	7.4%	139	+0.49	2.93	383	72
Alejandro Astorga L 2015 · 4.35 FIP	28	SP	4.35	11.5%	10.2%	1.7%	.283	3.87	14.7%	6.1%	220	-0.48	3.72	311	72
Matt Lujan L 2016 · 5.05 FIP	27	SP	5.05	18.5%	11.3%	3.8%	.319	4.69	14.3%	7.9%	70	-0.36	4.06	227	72
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	71
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	71

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	0.9	62	18.7%	8.2%	1.15	4.54
Juan Gutierrez ('14)	1.4	57	19.4%	8.4%	1.04	4.49
Tyler Walker ('10)	1.5	50	18.9%	8.5%	1.11	4.23
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Gary Wayne ('89-'94, 2 WAR*)	1.2	62	19.9%*	9.4%*	1.05*	3.88*
Cris Carpenter ('88-'96, 2 WAR*)	2.1	69	18.3%*	7.4%*	1.15*	4.29*