Bryan Magdaleno

P Frisco RoughRiders

Age 26 LHP 6'1" / 202 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX3 levels	36	0	43	1.27	1.69	40.5%	12.5%	—	K 27.2% · BB 17.5% · FIP 3.58
2025	24	AATEX	36	0	36	6.31	4.28	24.2%	23.7%	—	K 19.6% · BB 26.0% · FIP 4.74
2026	25	AATEX	44	1	56	3.05	2.62	33.6%	16.6%	—	K 27.2% · BB 18.3% · FIP 3.40
2027PROJ	26	MLBTEX	1	0	1	5.00	5.00	24.9%	19.0%	-0.0
2028PROJ38% MLB	27	MLBTEX	13	0	14	4.96	4.97	24.7%	18.1%	-0.1
2029PROJ60% MLB	28	MLBTEX	18	0	19	4.97	5.01	24.5%	17.5%	-0.1

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

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.2 / P90 0.3, comp-based) · star 0% · didn't stick 98%

CompsJake Rice (age 26) · Matt Thornton (age 27) · C.J. Widger (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 112120vR 128

ERA5.00

FIP5.00

K%24.9%

BB%19.0%

K-BB%5.9%

Proj IP33

Value2027 · WAR

Runs saved vs league avg · 33 IP

Grades · Contract

Scouting Grades

K†6060

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	20	ROK MLE	DSL Rangers 1	10	9	37	167	35	24	1	90%	3.7	14.3%	18.0%	-3.7%	0.8%	2.95	4.62	—
2021	20	ROK RAW	DSL Rangers 1	10	9	37	167	35	24	1	90%	3.7	21.0%	14.4%	6.6%	0.6%	2.95	3.51	—
2022	21	ROK MLE	ACL Rangers	15	0	20	92	18	14	0	0%	1.3	13.3%	19.0%	-5.7%	0.0%	4.12	4.39	—
2022	21	ROK RAW	ACL Rangers	15	0	20	92	18	14	0	0%	1.3	19.6%	15.2%	4.3%	0.0%	4.12	3.41	—
2023	22	MIX MLE	2 levels	19	0	18	87	27	8	2	0%	0.9	23.9%	8.8%	15.1%	2.2%	7.13	3.40	—
2023	22	MIX RAW	2 levels	19	0	18	87	27	8	2	0%	0.9	31.0%	9.2%	21.8%	2.3%	7.13	2.87	—
2024	23	MIX MLE	3 levels	36	0	43	168	68	21	1	0%	1.2	27.2%	17.5%	9.7%	1.0%	1.27	3.58	—
2024	23	MIX MLE	3 levels	36	0	43	168	68	21	1	0%	1.2	27.2%	17.5%	9.7%	1.0%	1.27	3.58	—
2024	23	MIX RAW	3 levels	36	0	43	168	68	21	1	0%	1.2	40.5%	12.5%	28.0%	0.6%	1.27	1.69	—
2025	24	AA MLE	Frisco RoughRiders	36	0	36	186	45	44	0	0%	1.0	19.6%	26.0%	-6.4%	0.0%	6.31	4.74	—
2025	24	AA MLE	Frisco RoughRiders	36	0	36	186	45	44	0	0%	1.0	19.6%	26.0%	-6.4%	0.0%	6.31	4.74	—
2025	24	AA RAW	Frisco RoughRiders	36	0	36	186	45	44	0	0%	1.0	24.2%	23.7%	0.5%	0.0%	6.31	4.28	—
2026	25	AA MLE	Frisco RoughRiders	44	1	56	229	77	38	1	2%	1.3	27.2%	18.3%	9.0%	0.5%	3.05	3.40	—
2026	25	AA MLE	Frisco RoughRiders	44	1	56	229	77	38	1	2%	1.3	27.2%	18.3%	9.0%	0.5%	3.05	3.40	—
2026	25	AA RAW	Frisco RoughRiders	44	1	56	229	77	38	1	2%	1.3	33.6%	16.6%	17.0%	0.4%	3.05	2.62	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	TEX	1	0	1	4	1	1	0	0%	1.0	24.9%	19.0%	5.9%	2.2%	5.00	5.00	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	TEX	36	0	37	158	39	29	4	0%	1.0	24.7%	18.1%	6.6%	2.3%	4.96	4.97	-0.2
2029	28	MLB MLE	TEX	30	0	32	134	33	24	3	0%	1.1	24.5%	17.5%	6.9%	2.5%	4.97	5.01	-0.2
2028	27	MLB CTX	TEX	13	0	14	59	15	11	1	0%	1.1	24.7%	18.1%	6.6%	2.3%	4.96	4.97	-0.1
2029	28	MLB CTX	TEX	18	0	19	80	20	14	2	0%	1.1	24.5%	17.5%	6.9%	2.5%	4.97	5.01	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		31	0	33	139	34	25	3	0%	1.1	24.6%	17.8%	6.8%	2.4%	4.97	4.61	-0.0
/ 200 IP	—	RAW		190	0	200	844	206	152	18	0%	1.1	24.6%	17.8%	6.8%	2.4%	4.97	4.61	-0.1
Career	—	MLE		160	10	208	929	201	175	6	6%	1.3	21.7%	18.8%	2.9%	0.7%	3.67	4.02	-0.4
/ 200 IP	—	MLE		154	10	200	892	193	168	6	6%	1.3	21.7%	18.8%	2.9%	0.7%	3.67	4.02	-1.0

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 AAFrisco RoughRiders · 56 IPFIP 2.60 → 3.40 (+0.80)K% 33.6% → 27.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.62%	—	×0.810	27.24%
BB% (unintentional) /BF	16.59%	—	×1.100	18.25%
HR / BF /BF	0.44%	÷1.000	×1.200	0.52%

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 100).

Result: FIP 2.60 → 3.40, 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 AAFrisco RoughRiders · 36 IPFIP 4.05 → 4.74 (+0.69)K% 24.2% → 19.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.19%	—	×0.810	19.60%
BB% (unintentional) /BF	23.66%	—	×1.100	26.02%
HR / BF /BF	0.00%	÷0.976	×1.200	0.00%

Result: FIP 4.05 → 4.74, 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 ADown East Wood Ducks · 31 IPFIP 2.31 → 3.58 (+1.27)K% 36.7% → 27.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.72%	—	×0.740	27.17%
BB% (unintentional) /BF	14.84%	—	×1.180	17.52%
HR / BF /BF	0.78%	÷1.008	×1.300	1.01%

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 102).

Result: FIP 2.31 → 3.58, 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 A+Hickory Crawdads · 8 IPFIP -0.47 → 0.72 (+1.19)K% 53.8% → 41.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	53.85%	—	×0.770	41.46%
BB% (unintentional) /BF	7.69%	—	×1.150	8.85%
HR / BF /BF	0.00%	÷1.014	×1.250	0.00%

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 103).

Result: FIP -0.47 → 0.72, 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 ROKACL Rangers · 12 IPFIP 1.99 → 3.40 (+1.41)K% 35.1% → 23.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.09%	—	×0.680	23.86%
BB% (unintentional) /BF	7.02%	—	×1.250	8.77%
HR / BF /BF	1.75%	÷1.124	×1.400	2.19%

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 125).

Result: FIP 1.99 → 3.40, 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 ADown East Wood Ducks · 5 IPFIP 4.65 → 5.83 (+1.18)K% 23.3% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.33%	—	×0.740	17.27%
BB% (unintentional) /BF	13.33%	—	×1.180	15.73%
HR / BF /BF	3.33%	÷1.082	×1.300	4.00%

Result: FIP 4.65 → 5.83, 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 ROKACL Rangers · 20 IPFIP 3.38 → 4.39 (+1.01)K% 19.6% → 13.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.57%	—	×0.680	13.30%
BB% (unintentional) /BF	15.22%	—	×1.250	19.02%
HR / BF /BF	0.00%	÷1.018	×1.400	0.00%

Result: FIP 3.38 → 4.39, 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 ROKDSL Rangers 1 · 37 IPFIP 3.48 → 4.62 (+1.14)K% 21.0% → 14.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.96%	—	×0.680	14.25%
BB% (unintentional) /BF	14.37%	—	×1.250	17.96%
HR / BF /BF	0.60%	÷1.039	×1.400	0.81%

Result: FIP 3.48 → 4.62, 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
Bryan Magdaleno (OGILVIE)	—	—	5.00	24.9%	19.0%	2.2%	—	4.99	24.6%	6.8%	69	-0.01	—	—	—
Jake Rice L 2023 · 4.41 FIP	26	SU	4.41	23.4%	18.1%	1.8%	.305	4.87	19.0%	4.3%	103	+0.46	3.16	199	89
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	83
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	83
Trey Jeans L 2022 · 5.09 FIP	26	SU	5.09	22.3%	16.5%	3.3%	.291	—	—	—	—	—	2.74	111	83
Andy Fisher L 2022 · 4.20 FIP	26	SU	4.20	21.5%	15.4%	1.8%	.333	4.25	17.2%	6.3%	52	+0.05	3.13	167	81
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
Brian Marconi L 2022 · 5.02 FIP	25	SU	5.02	20.3%	18.2%	2.4%	.329	—	—	—	—	—	3.89	101	79
Brendan Cellucci L 2024 · 3.98 FIP	26	SU	3.98	26.3%	16.6%	1.8%	.288	4.38	21.7%	9.6%	79	+0.40	3.98	288	79
Hector Mercado L 2000 · 4.79 FIP	26	SU	4.79	21.7%	13.3%	3.3%	.270	4.22	22.9%	10.0%	111	-0.57	3.47	125	79
Nick Lee L 2016 · 4.96 FIP	25	SU	4.96	19.0%	19.7%	1.8%	.286	—	—	—	—	—	3.77	102	79
Trey Cumbie L 2022 · 5.07 FIP	26	SU	5.07	23.3%	16.1%	3.4%	.215	—	—	—	—	—	3.44	152	79
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	78
Nick Hagadone L 2012 · 4.74 FIP	26	SU	4.74	22.4%	12.9%	3.5%	.310	3.88	24.6%	14.7%	82	-0.86	2.97	141	78
Matt Purke L 2016 · 4.25 FIP	26	SU	4.25	19.1%	13.9%	1.8%	.284	3.54	21.4%	8.8%	112	-0.71	3.01	226	78
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	78
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	77
Andrew Walling L 2024 · 4.05 FIP	24	SU	4.05	23.4%	13.2%	2.3%	.281	3.73	20.8%	7.5%	52	-0.32	3.14	161	77
Logan Salow L 2021 · 4.21 FIP	26	SU	4.21	22.0%	18.4%	1.1%	.283	—	—	—	—	—	2.78	148	77
Adam McCreery L 2019 · 4.29 FIP	26	SU	4.29	20.7%	14.5%	2.0%	.323	—	—	—	—	—	3.12	207	77
Thomas Burrows L 2021 · 4.06 FIP	26	SU	4.06	28.9%	17.5%	2.2%	.253	3.75	23.1%	15.0%	34	-0.31	2.67	271	77

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	0.5	34	24.7%	18.2%	0.91	4.98
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Derrick Turnbow ('08)	1.3	64	23.4%	14.8%	0.87	4.30
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
John Parrish ('10)	1.4	46	17.6%	14.8%	0.88	4.51
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*