Ronan Kopp

P Oklahoma City Comets

Age 25 LHP 6'7" / 250 lbs AAA

Overview

AAA40-MANPROSPECT

ETA2028MLB%30%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	AALAD	35	0	50	4.17	3.80	30.8%	18.1%	—	K 25.0% · BB 19.9% · FIP 4.60
2025	23	MIX2 levels	49	0	58	3.43	2.35	36.0%	16.6%	—	K 29.9% · BB 16.7% · FIP 2.93
2026	24	AAALAD	47	1	46	6.80	5.37	23.2%	19.5%	—	K 19.9% · BB 17.6% · FIP 5.29
2027PROJ	25	MLBLAD	17	0	18	5.30	5.30	24.4%	19.0%	-0.2
2028PROJ51% MLB	26	MLBLAD	21	0	22	5.19	5.18	24.5%	18.0%	-0.2
2029PROJ63% MLB	27	MLBLAD	23	0	24	5.14	5.15	24.4%	17.4%	-0.2

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

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.3 / P90 2.6, comp-based) · star 0% · didn't stick 88%

CompsChristian Chamberlain (age 24) · Trey Cumbie (age 25) · Brian Marconi (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118126vR 134

ERA5.30

FIP5.30

K%24.4%

BB%19.0%

K-BB%5.4%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

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)
2021	19	ROK MLE	ACL Dodgers	3	0	2	9	5	1	0	0%	0.7	55.6%	11.1%	44.4%	0.0%	0.00	-0.18	—
2021	19	ROK RAW	ACL Dodgers	3	0	2	9	5	1	0	0%	0.7	55.6%	11.1%	44.4%	0.0%	0.00	-0.40	—
2022	20	MIX MLE	2 levels	27	11	62	281	108	43	3	41%	2.3	29.4%	17.0%	12.4%	1.2%	2.74	3.44	—
2022	20	MIX RAW	2 levels	27	11	62	281	108	43	3	41%	2.3	38.4%	15.3%	23.1%	1.1%	2.74	2.33	—
2023	21	A+ MLE	Great Lakes Loons	30	21	72	299	107	50	6	70%	2.4	27.6%	19.2%	8.3%	2.6%	2.99	4.66	—
2023	21	A+ RAW	Great Lakes Loons	30	21	72	299	107	50	6	70%	2.4	35.8%	16.7%	19.1%	2.0%	2.99	3.29	—
2024	22	AA MLE	Tulsa Drillers	35	0	50	227	70	41	4	0%	1.4	25.0%	19.9%	5.1%	2.0%	4.17	4.60	—
2024	22	AA MLE	Tulsa Drillers	35	0	50	227	70	41	4	0%	1.4	25.0%	19.9%	5.1%	2.0%	4.17	4.60	—
2024	22	AA RAW	Tulsa Drillers	35	0	50	227	70	41	4	0%	1.4	30.8%	18.1%	12.8%	1.8%	4.17	3.80	—
2025	23	MIX MLE	2 levels	49	0	58	253	91	42	1	0%	1.2	29.9%	16.7%	13.3%	0.5%	3.43	2.93	—
2025	23	MIX MLE	2 levels	49	0	58	253	91	42	1	0%	1.2	29.9%	16.7%	13.3%	0.5%	3.43	2.93	—
2025	23	MIX RAW	2 levels	49	0	58	253	91	42	1	0%	1.2	36.0%	16.6%	19.4%	0.4%	3.43	2.35	—
2026	24	AAA MLE	Oklahoma City Comets	47	1	46	220	51	43	6	2%	1.0	19.9%	17.6%	2.3%	3.0%	6.80	5.29	—
2026	24	AAA MLE	Oklahoma City Comets	47	1	46	220	51	43	6	2%	1.0	19.9%	17.6%	2.3%	3.0%	6.80	5.29	—
2026	24	AAA RAW	Oklahoma City Comets	47	1	46	220	51	43	6	2%	1.0	23.2%	19.5%	3.6%	2.7%	6.80	5.37	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	LAD	17	0	18	76	19	14	2	0%	1.1	24.4%	19.0%	5.4%	2.7%	5.30	5.30	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	LAD	42	0	44	187	46	34	5	0%	1.1	24.5%	18.0%	6.5%	2.7%	5.19	5.18	-0.3
2029	27	MLB MLE	LAD	36	0	38	162	40	28	4	0%	1.1	24.4%	17.4%	7.0%	2.8%	5.14	5.15	-0.3
2028	26	MLB CTX	LAD	21	0	22	93	23	17	3	0%	1.0	24.5%	18.0%	6.5%	2.7%	5.19	5.18	-0.2
2029	27	MLB CTX	LAD	23	0	24	101	25	18	3	0%	1.0	24.4%	17.4%	7.0%	2.8%	5.14	5.15	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		44	0	47	196	48	35	5	0%	1.1	24.5%	17.7%	6.8%	2.7%	5.16	4.78	-0.1
/ 200 IP	—	RAW		190	0	200	844	206	150	21	0%	1.1	24.5%	17.7%	6.8%	2.7%	5.16	4.78	-0.5
Career	—	MLE		191	33	290	1289	346	232	24	17%	1.5	26.9%	18.0%	8.8%	1.8%	3.81	4.12	-0.6
/ 200 IP	—	MLE		132	23	200	888	239	160	16	17%	1.5	26.9%	18.0%	8.8%	1.8%	3.81	4.12	-1.4

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 AAAOklahoma City Comets · 46 IPFIP 5.12 → 5.29 (+0.18)K% 23.2% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.18%	—	×0.860	19.94%
BB% (unintentional) /BF	19.55%	—	×0.900	17.59%
HR / BF /BF	2.73%	÷1.000	×1.100	3.00%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. 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 5.12 → 5.29, 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).

2025 AATulsa Drillers · 32 IPFIP 2.06 → 2.84 (+0.78)K% 36.2% → 29.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.23%	—	×0.810	29.35%
BB% (unintentional) /BF	15.94%	—	×1.100	17.54%
HR / BF /BF	0.00%	÷0.957	×1.200	0.00%

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 91).

Result: FIP 2.06 → 2.84, 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).

2025 AAAOklahoma City Comets · 26 IPFIP 2.77 → 3.04 (+0.27)K% 35.7% → 30.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.65%	—	×0.860	30.66%
BB% (unintentional) /BF	17.39%	—	×0.900	15.65%
HR / BF /BF	0.87%	÷0.956	×1.100	1.00%

Result: FIP 2.77 → 3.04, 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 AATulsa Drillers · 50 IPFIP 3.75 → 4.60 (+0.85)K% 30.8% → 25.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.84%	—	×0.810	24.98%
BB% (unintentional) /BF	18.06%	—	×1.100	19.87%
HR / BF /BF	1.76%	÷1.063	×1.200	1.99%

Result: FIP 3.75 → 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).

2023 A+Great Lakes Loons · 72 IPFIP 3.30 → 4.66 (+1.36)K% 35.8% → 27.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.79%	—	×0.770	27.56%
BB% (unintentional) /BF	16.72%	—	×1.150	19.23%
HR / BF /BF	2.01%	÷0.951	×1.250	2.64%

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 90).

Result: FIP 3.30 → 4.66, 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 ARancho Cucamonga Quakes · 58 IPFIP 2.21 → 3.44 (+1.23)K% 39.7% → 29.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	39.69%	—	×0.740	29.37%
BB% (unintentional) /BF	14.40%	—	×1.180	16.99%
HR / BF /BF	1.17%	÷1.247	×1.300	1.22%

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 149).

Result: FIP 2.21 → 3.44, 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+Great Lakes Loons · 5 IPFIP 4.16 → 5.12 (+0.96)K% 25.0% → 19.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.770	19.25%
BB% (unintentional) /BF	25.00%	—	×1.150	28.75%
HR / BF /BF	0.00%	÷1.013	×1.250	0.00%

Result: FIP 4.16 → 5.12, 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
Ronan Kopp (OGILVIE)	—	—	—	—	—	2.7%	—	5.17	24.5%	6.7%	82	-0.13	—	—	—
Christian Chamberlain L 2023 · 4.29 FIP	24	SU	4.29	26.7%	17.5%	2.2%	.238	3.91	20.7%	0.5%	43	-0.38	3.91	148	81
Trey Cumbie L 2021 · 4.54 FIP	25	SU	4.54	25.3%	15.3%	3.0%	.284	5.07	23.3%	7.2%	42	+0.53	3.44	152	81
Brian Marconi L 2022 · 5.02 FIP	25	SU	5.02	20.3%	18.2%	2.4%	.329	—	—	—	—	—	3.89	101	81
Ben Harris L 2024 · 5.66 FIP	24	SU	5.66	23.8%	19.6%	3.8%	.291	4.74	21.1%	0.9%	30	-0.92	3.06	183	81
Carlos Rey L 2024 · 4.47 FIP	22	SU	4.47	26.1%	22.0%	1.4%	.297	4.30	25.5%	5.4%	108	-0.17	3.90	165	80
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	80
C.J. Widger L 2024 · 4.21 FIP	25	SU	4.21	26.0%	16.0%	2.3%	.258	5.75	18.1%	-0.7%	57	+1.54	3.83	105	79
Matt Thornton L 2004 · 4.18 FIP	27	SU	4.18	20.3%	16.2%	1.4%	.304	4.18	21.8%	11.5%	167	-0.00	1.71	663	79
Nick Lee L 2016 · 4.96 FIP	25	SU	4.96	19.0%	19.7%	1.8%	.286	—	—	—	—	—	3.77	102	78
Mitchell Tyranski L 2023 · 5.14 FIP	25	SU	5.14	20.4%	13.6%	3.7%	.269	4.10	20.7%	6.1%	103	-1.04	3.46	145	78
Davis Schwab L 2022 · 5.70 FIP	25	SU	5.70	20.3%	18.7%	3.5%	.352	—	—	—	—	—	4.46	114	77
Seth Clark L 2024 · 5.66 FIP	24	SU	5.66	18.9%	16.2%	3.9%	.267	4.56	17.7%	-2.7%	32	-1.10	4.23	128	77
Grant Wolfram L 2022 · 4.31 FIP	25	SU	4.31	22.1%	17.8%	1.5%	.319	3.41	23.3%	13.9%	178	-0.90	2.36	423	77
John Beller L 2023 · 4.16 FIP	24	SU	4.16	21.6%	14.2%	2.0%	.331	—	—	—	—	—	4.16	170	77
Fabian Williamson L 2015 · 5.31 FIP	26	SU	5.31	17.4%	17.9%	2.6%	.289	4.16	20.0%	8.2%	77	-1.15	3.39	154	76
Erik Sabrowski L 2023 · 4.53 FIP	25	SU	4.53	24.7%	21.5%	1.4%	.267	3.05	33.3%	17.7%	115	-1.48	2.56	165	76
Brendan Cellucci L 2023 · 4.99 FIP	25	SU	4.99	21.2%	14.6%	3.3%	.381	4.21	23.7%	9.6%	137	-0.78	3.98	288	76
Zach Warren L 2021 · 4.27 FIP	25	SU	4.27	29.4%	18.8%	2.3%	.271	5.30	15.2%	-8.3%	23	+1.03	2.84	184	75
John Kilichowski L 2018 · 4.99 FIP	24	SU	4.99	17.6%	16.2%	2.4%	.336	—	—	—	—	—	4.10	115	74
Chris Wright L 2023 · 4.73 FIP	24	SU	4.73	24.4%	17.3%	2.7%	.360	4.65	20.0%	0.9%	17	-0.08	3.03	169	74

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	0.7	47	24.5%	18.3%	1.05	5.22
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Derrick Turnbow ('08)	1.3	64	23.4%	14.8%	0.87	4.30
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Ken Wright ('70-'74, -0 WAR*)	1.2	79	23.8%*	16.1%*	0.70*	5.24*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*