Andy Basora

P Columbia Fireflies

Age 22 RHP 6'3" / 155 lbs A peak 0.1 · 2030

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKKC	14	0	33	4.05	2.08	17.7%	4.1%	—	K 12.0% · BB 5.1% · FIP 2.73
2026	21	AKC	45	0	59	4.73	3.63	23.9%	11.8%	—	K 17.7% · BB 13.9% · FIP 4.68
2027PROJ	22	MLBKC	—	—	0	4.93	4.93	18.8%	11.6%	—
2028PROJ49% MLB	23	MLBKC	20	0	21	4.74	4.66	20.3%	10.6%	-0.0
2029PROJ70% MLB	24	MLBKC	28	0	29	4.58	4.49	21.2%	9.9%	0.0

Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsJayson McKinley (age 23) · Jordan Mikel (age 22) · Mike Morrison (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 111

ERA4.93

FIP4.93

K%18.8%

BB%11.6%

K-BB%7.2%

Proj IP34

Value2027 · WAR

Runs saved vs league avg · 34 IP

Grades · Contract

Scouting Grades

K†4550

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	17	ROK MLE	DSL KC Stewart	13	0	27	126	24	13	0	0%	2.1	13.0%	12.9%	0.1%	0.0%	3.33	3.64	—
2022	17	ROK RAW	DSL KC Stewart	13	0	27	126	24	13	0	0%	2.1	19.0%	10.3%	8.7%	0.0%	3.33	2.77	—
2023	18	ROK MLE	DSL Royals Blue	12	4	32	142	27	10	0	33%	2.7	12.9%	8.8%	4.1%	0.0%	1.97	3.12	—
2023	18	ROK RAW	DSL Royals Blue	12	4	32	142	27	10	0	33%	2.7	19.0%	7.0%	12.0%	0.0%	1.97	2.35	—
2024	19	ROK MLE	DSL Royals Ventura	11	8	34	136	33	12	1	73%	3.1	16.5%	11.0%	5.5%	1.0%	3.44	3.67	—
2024	19	ROK MLE	DSL Royals Ventura	11	8	34	136	33	12	1	73%	3.1	16.5%	11.0%	5.5%	1.0%	3.44	3.67	—
2024	19	ROK RAW	DSL Royals Ventura	11	8	34	136	33	12	1	73%	3.1	24.3%	8.8%	15.4%	0.7%	3.44	2.60	—
2025	20	ROK MLE	ACL Royals	14	0	33	147	26	6	0	0%	2.4	12.0%	5.1%	6.9%	0.0%	4.05	2.73	—
2025	20	ROK MLE	ACL Royals	14	0	33	147	26	6	0	0%	2.4	12.0%	5.1%	6.9%	0.0%	4.05	2.73	—
2025	20	ROK RAW	ACL Royals	14	0	33	147	26	6	0	0%	2.4	17.7%	4.1%	13.6%	0.0%	4.05	2.08	—
2026	21	A MLE	Columbia Fireflies	45	0	59	272	65	32	5	0%	1.3	17.7%	13.9%	3.8%	2.4%	4.73	4.68	—
2026	21	A MLE	Columbia Fireflies	45	0	59	272	65	32	5	0%	1.3	17.7%	13.9%	3.8%	2.4%	4.73	4.68	—
2026	21	A RAW	Columbia Fireflies	45	0	59	272	65	32	5	0%	1.3	23.9%	11.8%	12.1%	1.8%	4.73	3.63	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	KC	—	—	0	—	—	—	—	—	—	18.8%	11.6%	7.2%	2.9%	4.93	4.93	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	KC	40	0	42	178	36	19	5	0%	1.1	20.3%	10.6%	9.7%	2.8%	4.74	4.66	-0.1
2029	24	MLB MLE	KC	40	0	42	178	38	18	5	0%	1.1	21.2%	9.9%	11.3%	2.8%	4.58	4.49	+0.0
2030	25	MLB MLE	KC	35	0	37	156	34	15	4	0%	1.1	21.6%	9.5%	12.2%	2.8%	4.46	4.39	+0.1
2031	26	MLB MLE	KC	35	0	37	155	34	15	4	0%	1.0	21.9%	9.4%	12.5%	2.8%	4.40	4.37	+0.1
2032	27	MLB MLE	KC	34	0	36	150	33	14	4	0%	1.0	21.9%	9.5%	12.4%	2.9%	4.40	4.41	+0.1
2028	23	MLB CTX	KC	20	0	21	89	18	9	3	0%	1.1	20.3%	10.6%	9.7%	2.8%	4.74	4.66	-0.0
2029	24	MLB CTX	KC	28	0	29	122	26	12	3	0%	1.0	21.2%	9.9%	11.3%	2.8%	4.58	4.49	+0.0
2030	25	MLB CTX	KC	29	0	30	127	27	12	4	0%	1.0	21.6%	9.5%	12.2%	2.8%	4.46	4.39	+0.1
2031	26	MLB CTX	KC	30	0	32	135	30	13	4	0%	1.1	21.9%	9.4%	12.5%	2.8%	4.40	4.37	+0.1
2032	27	MLB CTX	KC	30	0	32	135	30	13	4	0%	1.1	21.9%	9.5%	12.4%	2.9%	4.40	4.41	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		138	0	144	610	131	59	17	0%	1.0	21.5%	9.7%	11.7%	2.8%	4.50	4.07	+0.8
/ 200 IP	—	RAW		190	0	200	844	181	82	24	0%	1.1	21.5%	9.7%	11.7%	2.8%	4.50	4.07	+1.1
Career	—	MLE		95	12	185	823	123	89	8	13%	2.0	14.9%	10.8%	4.1%	1.0%	3.69	3.74	+0.2
/ 200 IP	—	MLE		103	13	200	888	133	96	9	13%	2.0	14.9%	10.8%	4.1%	1.0%	3.69	3.74	+0.2

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 AColumbia Fireflies · 59 IPFIP 3.58 → 4.68 (+1.10)K% 23.9% → 17.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.90%	—	×0.740	17.68%
BB% (unintentional) /BF	11.76%	—	×1.180	13.88%
HR / BF /BF	1.84%	÷1.000	×1.300	2.39%

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 100).

Result: FIP 3.58 → 4.68, 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 ROKACL Royals · 33 IPFIP 2.12 → 2.73 (+0.61)K% 17.7% → 12.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.69%	—	×0.680	12.03%
BB% (unintentional) /BF	4.08%	—	×1.250	5.10%
HR / BF /BF	0.00%	÷0.939	×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 88).

Result: FIP 2.12 → 2.73, 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 ROKDSL Royals Ventura · 34 IPFIP 2.57 → 3.67 (+1.10)K% 24.3% → 16.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.26%	—	×0.680	16.50%
BB% (unintentional) /BF	8.82%	—	×1.250	11.03%
HR / BF /BF	0.74%	÷0.994	×1.400	1.04%

Result: FIP 2.57 → 3.67, 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 ROKDSL Royals Blue · 32 IPFIP 2.39 → 3.12 (+0.74)K% 19.0% → 12.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.01%	—	×0.680	12.93%
BB% (unintentional) /BF	7.04%	—	×1.250	8.80%
HR / BF /BF	0.00%	÷0.903	×1.400	0.00%

Result: FIP 2.39 → 3.12, 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).

2022 ROKDSL KC Stewart · 27 IPFIP 2.80 → 3.64 (+0.84)K% 19.0% → 13.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.05%	—	×0.680	12.95%
BB% (unintentional) /BF	10.32%	—	×1.250	12.90%
HR / BF /BF	0.00%	÷1.166	×1.400	0.00%

Result: FIP 2.80 → 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).

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
Andy Basora (OGILVIE)	—	—	4.93	18.8%	11.6%	2.9%	—	4.52	21.0%	11.0%	121	-0.41	—	—	—
Jayson McKinley R 2017 · 4.39 FIP	23	SU	4.39	17.5%	11.4%	2.4%	.308	3.60	20.4%	11.3%	134	-0.79	2.35	173	90
Jordan Mikel R 2021 · 4.49 FIP	22	SU	4.49	20.5%	12.5%	2.8%	.330	4.16	19.2%	9.0%	109	-0.33	3.04	195	89
Mike Morrison R 2016 · 4.86 FIP	22	SU	4.86	17.3%	10.7%	3.4%	.280	4.02	19.0%	7.1%	128	-0.84	3.36	145	89
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	89
Sean Isaac R 2016 · 4.27 FIP	23	SU	4.27	19.5%	12.3%	2.3%	.342	3.76	25.0%	10.7%	128	-0.51	3.27	155	89
Thomas Balboni Jr. R 2023 · 3.99 FIP	23	SU	3.99	17.5%	10.9%	1.8%	.331	3.47	28.1%	14.3%	79	-0.52	2.99	122	89
Ismael Cabrera R 2016 · 4.77 FIP	22	SU	4.77	19.5%	12.4%	3.2%	.276	5.29	16.9%	6.5%	95	+0.52	3.56	133	89
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	88
Jack Carey R 2022 · 4.77 FIP	22	SU	4.77	16.8%	10.9%	3.1%	.333	4.31	19.5%	8.2%	156	-0.46	3.79	250	88
Brandon Beckel R 2024 · 3.75 FIP	22	SU	3.75	19.4%	10.3%	1.8%	.250	4.23	19.5%	10.5%	147	+0.48	3.75	194	88
Brett Standlee R 2022 · 4.13 FIP	23	SU	4.13	19.7%	11.1%	2.4%	.322	4.45	17.0%	8.9%	75	+0.32	4.13	128	88
Joangel Gonzalez R 2024 · 4.23 FIP	20	SU	4.23	18.3%	11.7%	2.1%	.312	5.15	18.3%	2.5%	116	+0.92	3.93	151	87
Todd Peterson R 2021 · 5.11 FIP	23	SW	5.11	18.4%	10.3%	4.1%	.279	4.83	15.0%	4.3%	124	-0.28	4.45	175	87
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	87
Luke Stofel R 2024 · 4.26 FIP	22	SU	4.26	17.6%	12.4%	2.0%	.328	4.42	14.0%	1.8%	147	+0.16	4.26	188	87
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	87
Logan Lombana R 2016 · 4.04 FIP	22	SU	4.04	16.8%	10.9%	1.8%	.316	4.02	15.4%	8.7%	97	-0.02	3.80	155	87
Jason García R 2015 · 4.57 FIP	22	SU	4.57	16.8%	12.5%	2.4%	.241	4.37	13.2%	1.2%	218	-0.20	4.16	356	86
Dawil Almonte R 2024 · 4.88 FIP	22	SU	4.88	17.9%	10.7%	3.5%	.267	4.31	12.6%	0.7%	58	-0.57	3.59	138	86
Tyler Schoff R 2022 · 4.25 FIP	23	SU	4.25	19.6%	10.8%	2.6%	.350	3.72	23.8%	15.7%	93	-0.53	3.69	190	86

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	1.1	38	21.0%	10.1%	1.09	4.59
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Jacob Barnes ('25)	1.7	48	22.0%	9.2%	1.15	4.79
Chris Ray ('11)	1.4	47	19.1%	10.2%	1.12	4.10
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*
Bob Allen ('61-'67, -1 WAR*)	1.4	55	21.4%*	10.4%*	0.89*	4.79*