Ryan Anderson

P Somerset Patriots

Age 28 LHP 6'6" / 229 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	24	MIX2 levels	37	0	58	2.17	2.17	27.9%	7.0%	—	K 22.0% · BB 7.8% · FIP 2.80
2024	25	AANYY	25	1	30	3.00	2.27	28.3%	8.3%	—	K 22.9% · BB 9.2% · FIP 2.86
2025	26	MIX2 levels	35	0	43	4.57	3.63	20.0%	10.5%	—	K 15.6% · BB 11.3% · FIP 4.29
2026	27	No MLB games played
2027PROJ	28	MLBNYY	1	0	1	5.11	5.11	16.8%	11.7%	-0.0
2028PROJ31% MLB	29	MLBNYY	12	0	13	5.11	5.16	17.2%	11.7%	-0.1
2029PROJ51% MLB	30	MLBNYY	17	0	18	5.18	5.27	17.3%	11.8%	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control45Command40

CompsStephen Randolph (age 29) · Colton Johnson (age 26) · Keith Hessler (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114122vR 130

ERA5.11

FIP5.11

K%16.8%

BB%11.7%

K-BB%5.1%

Proj IP59

Value2027 · WAR

Runs saved vs league avg · 59 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL4545

CMD4040

K†4040

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	22	MIX MLE	2 levels	16	7	30	163	32	33	1	44%	1.9	14.7%	26.1%	-11.4%	1.0%	10.01	5.71	—
2021	22	MIX RAW	2 levels	16	7	30	163	32	33	1	44%	1.9	19.6%	20.2%	-0.6%	0.6%	10.01	4.72	—
2022	23	A MLE	Tampa Tarpons	35	0	61	273	64	25	8	0%	1.8	17.3%	10.8%	6.5%	3.7%	4.26	5.04	—
2022	23	A RAW	Tampa Tarpons	35	0	61	273	64	25	8	0%	1.8	23.4%	9.2%	14.3%	2.9%	4.26	3.93	—
2023	24	MIX MLE	2 levels	37	0	58	229	64	16	2	0%	1.6	22.0%	7.8%	14.2%	1.0%	2.17	2.80	—
2023	24	MIX RAW	2 levels	37	0	58	229	64	16	2	0%	1.6	27.9%	7.0%	21.0%	0.9%	2.17	2.17	—
2024	25	AA MLE	Somerset Patriots	25	1	30	120	34	10	1	4%	1.2	22.9%	9.2%	13.8%	1.0%	3.00	2.86	—
2024	25	AA MLE	Somerset Patriots	25	1	30	120	34	10	1	4%	1.2	22.9%	9.2%	13.8%	1.0%	3.00	2.86	—
2024	25	AA RAW	Somerset Patriots	25	1	30	120	34	10	1	4%	1.2	28.3%	8.3%	20.0%	0.8%	3.00	2.27	—
2025	26	MIX MLE	2 levels	35	0	43	190	38	20	3	0%	1.2	15.6%	11.3%	4.4%	2.0%	4.57	4.29	—
2025	26	MIX MLE	2 levels	35	0	43	190	38	20	3	0%	1.2	15.6%	11.3%	4.4%	2.0%	4.57	4.29	—
2025	26	MIX RAW	2 levels	35	0	43	190	38	20	3	0%	1.2	20.0%	10.5%	9.5%	1.6%	4.57	3.63	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	NYY	1	0	1	4	1	0	0	0%	1.0	16.8%	11.7%	5.1%	2.9%	5.11	5.11	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	NYY	40	0	42	179	31	21	5	0%	1.1	17.2%	11.7%	5.6%	3.0%	5.11	5.16	-0.3
2029	30	MLB MLE	NYY	33	0	35	146	25	17	5	0%	1.0	17.3%	11.8%	5.6%	3.2%	5.18	5.27	-0.3
2028	29	MLB CTX	NYY	12	0	13	55	9	6	2	0%	1.1	17.2%	11.7%	5.6%	3.0%	5.11	5.16	-0.1
2029	30	MLB CTX	NYY	17	0	18	76	13	9	2	0%	1.1	17.3%	11.8%	5.6%	3.2%	5.18	5.27	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		30	0	31	131	23	15	4	0%	1.0	17.3%	11.7%	5.6%	3.1%	5.15	4.84	-0.1
/ 200 IP	—	RAW		190	0	200	844	148	97	26	0%	1.1	17.3%	11.7%	5.6%	3.1%	5.15	4.84	-0.7
Career	—	MLE		148	8	222	975	179	122	19	5%	1.5	18.4%	12.5%	5.8%	2.0%	4.37	4.21	-0.6
/ 200 IP	—	MLE		133	7	200	877	161	110	17	5%	1.5	18.4%	12.5%	5.8%	2.0%	4.37	4.21	-1.5

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 AASomerset Patriots · 41 IPFIP 3.70 → 4.29 (+0.59)K% 19.3% → 15.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.32%	—	×0.810	15.65%
BB% (unintentional) /BF	10.23%	—	×1.100	11.25%
HR / BF /BF	1.70%	÷1.030	×1.200	1.99%

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 106).

Result: FIP 3.70 → 4.29, 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).

2024 AASomerset Patriots · 30 IPFIP 2.22 → 2.86 (+0.64)K% 28.3% → 22.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.33%	—	×0.810	22.95%
BB% (unintentional) /BF	8.33%	—	×1.100	9.17%
HR / BF /BF	0.83%	÷1.027	×1.200	0.97%

Result: FIP 2.22 → 2.86, 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+Hudson Valley Renegades · 31 IPFIP 1.47 → 2.20 (+0.73)K% 29.1% → 22.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.13%	—	×0.770	22.43%
BB% (unintentional) /BF	3.15%	—	×1.150	3.62%
HR / BF /BF	0.79%	÷1.006	×1.250	0.98%

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 101).

Result: FIP 1.47 → 2.20, 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 AASomerset Patriots · 27 IPFIP 2.89 → 3.55 (+0.66)K% 26.5% → 21.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.47%	—	×0.810	21.44%
BB% (unintentional) /BF	11.76%	—	×1.100	12.94%
HR / BF /BF	0.98%	÷1.033	×1.200	1.14%

Result: FIP 2.89 → 3.55, 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 ATampa Tarpons · 61 IPFIP 3.89 → 5.04 (+1.15)K% 23.4% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.44%	—	×0.740	17.35%
BB% (unintentional) /BF	9.16%	—	×1.180	10.81%
HR / BF /BF	2.93%	÷1.026	×1.300	3.71%

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 105).

Result: FIP 3.89 → 5.04, 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).

2021 ATampa Tarpons · 23 IPFIP 4.65 → 5.71 (+1.07)K% 19.8% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.85%	—	×0.740	14.69%
BB% (unintentional) /BF	22.14%	—	×1.180	26.12%
HR / BF /BF	0.76%	÷1.000	×1.300	0.99%

Result: FIP 4.65 → 5.71, 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).

2021 ROKFCL Yankees · 6 IPFIP 3.10 → 4.00 (+0.90)K% 18.8% → 12.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.75%	—	×0.680	12.75%
BB% (unintentional) /BF	12.50%	—	×1.250	15.62%
HR / BF /BF	0.00%	÷0.989	×1.400	0.00%

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 98).

Result: FIP 3.10 → 4.00, 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
Ryan Anderson (OGILVIE)	—	—	5.11	16.8%	11.7%	2.9%	—	5.21	17.3%	5.6%	77	+0.10	—	—	—
Stephen Randolph L 2003 · 4.83 FIP	29	SU	4.83	18.5%	14.8%	2.6%	.247	5.69	15.8%	-3.0%	82	+0.86	4.83	155	85
Colton Johnson L 2024 · 3.92 FIP	26	SU	3.92	20.8%	11.0%	2.1%	.309	4.53	12.2%	-0.4%	48	+0.61	3.92	106	83
Keith Hessler L 2017 · 5.18 FIP	28	SU	5.18	15.5%	11.8%	3.5%	.324	4.96	19.8%	6.5%	53	-0.22	3.31	228	82
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	81
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	81
Bryan Harper L 2018 · 4.63 FIP	28	SU	4.63	14.9%	13.9%	1.9%	.288	—	—	—	—	—	4.13	133	80
Doug Slaten L 2008 · 4.56 FIP	28	SU	4.56	13.6%	8.8%	2.7%	.264	3.63	19.2%	10.2%	57	-0.93	3.22	139	80
Michael Johnson L 2018 · 5.19 FIP	27	SU	5.19	13.4%	10.0%	3.6%	.301	—	—	—	—	—	3.92	256	79
Justin Wright L 2016 · 4.42 FIP	26	SU	4.42	14.7%	13.7%	1.5%	.302	—	—	—	—	—	2.28	109	79
Juan Pablo Perez L 2007 · 5.32 FIP	28	SU	5.32	17.5%	14.0%	3.5%	.324	—	—	—	—	—	1.75	104	79
Mitchell Tyranski L 2024 · 4.90 FIP	26	SU	4.90	21.0%	12.3%	3.7%	.234	3.46	20.5%	4.0%	57	-1.44	3.46	145	79
John Bale L 2001 · 4.41 FIP	27	SU	4.41	18.6%	15.0%	1.8%	.219	4.12	19.0%	13.9%	46	-0.29	2.49	168	78
Kit Scheetz L 2021 · 5.08 FIP	27	SU	5.08	16.2%	13.6%	2.9%	.278	—	—	—	—	—	2.34	195	78
Tom Martin L 2000 · 4.16 FIP	30	SU	4.16	14.7%	9.1%	2.1%	.274	4.29	21.8%	12.3%	68	+0.12	3.40	303	77
Heath Murray L 2001 · 5.40 FIP	28	SU	5.40	14.0%	11.6%	3.6%	.333	6.02	20.0%	7.3%	12	+0.62	4.69	159	77
Ashur Tolliver L 2016 · 4.19 FIP	28	SU	4.19	21.3%	9.8%	3.0%	.308	5.03	13.8%	-5.1%	35	+0.84	3.49	134	77
Colt Hynes L 2013 · 4.76 FIP	28	SU	4.76	15.5%	8.3%	3.5%	.361	3.49	19.3%	12.8%	96	-1.27	3.42	169	77
Aaron Brown L 2019 · 4.04 FIP	27	SU	4.04	22.9%	13.5%	2.1%	.317	4.77	19.4%	6.7%	129	+0.73	4.04	269	77
Jeremy Horst L 2013 · 4.46 FIP	27	SU	4.46	17.1%	8.9%	3.0%	.356	3.92	17.2%	5.4%	108	-0.54	2.12	181	76
Andy Fisher L 2023 · 4.25 FIP	27	SU	4.25	17.2%	10.9%	2.2%	.232	—	—	—	—	—	3.13	167	75

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	45	17.1%	11.7%	1.16	5.13
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Mike Matthews ('05)	1.2	61	16.3%	11.3%	1.07	4.54
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*