Richard Bleier

P Rochester Red Wings
Age 40 LHP 6'3" / 238 lbs AAA peak 0.1 · 2027
Overview
AAARP
YearAgeLvl / TeamGGSIPERAFIPK%BB%WARMLE rates
202235MIX3 levels572533.403.0614.7%3.9%0.9K 14.4% · BB 3.2% · FIP 3.06
202336MIX3 levels361414.834.0813.0%4.0%0.2K 12.1% · BB 3.0% · FIP 4.59
202437AAAWSH150174.323.8214.7%2.9%—K 12.6% · BB 2.6% · FIP 4.17
202538No MLB games played
202639No MLB games played
2027PROJ40MLBWSH5054.294.4820.5%8.7%0.0
2028PROJMLE41MLBWSH——04.664.9119.4%9.4%—
Last 3 seasons WAR 1.2  ·  Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.
Contract
No contract data on file.
Skills · percentileStatcast 2023
xwOBA vs34
FB Velo10
K%10
CompsJuan Antonio Pena (age 41) · Keiichi Yabu (age 39) · Erubiel Gonzalez (age 38)
2027 FULL-SEASON PROJECTIONrates below = full-season projection
showingPROJ
wRC+ AGAINSTvL 102110vR 118
ERA4.29
FIP4.48
K%20.5%
BB%8.7%
K-BB%11.8%
Proj IP47
Value2027 · WAR
Runs saved vs league avg · 47 IP
K: -0.5 runs (Runs saved by strikeouts vs lg-avg K%)-0KBB: -0.1 runs (Runs saved by walk suppression vs lg-avg BB%)-0BBCONTACT: -1.0 runs (Runs saved on contact quality (HR suppression) vs lg)-1CONTACTSTAM: +1.9 runs (Replacement credit for innings volume)+2STAMTotal WAR: +0.04 (47 IP)+0.0WAR
0.00.02728
Grades · Statcast · Contract
Scouting Grades
STUF4040
CTRL7070
CMD4545
K†5050
Statcast Percentiles
FB Velo
p1088.9
Whiff%
p1017.9%
K%
p1012.1%
xwOBA vs
p340.331

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.
basis 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.

YearAge LvlTeam GGSIPBF KBBHR GS%IP/G K%BB%K-BB%HR% ERAFIP 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)
201528MIX MLE2 levels28261726826515693%6.18.0%2.4%5.6%1.1%2.573.31—
201528MIX RAW2 levels28261726826515693%6.19.5%2.2%7.3%0.9%2.573.06—
201629MIX MLE2 levels3510813323815229%2.310.5%4.7%5.9%0.7%3.223.17+1.4
201629MIX RAW2 levels3510813323815229%2.311.4%4.5%6.9%0.6%3.223.04+1.5
201730MIX MLE2 levels65078317411060%1.212.4%3.2%9.2%1.7%1.733.39+1.1
201730MIX RAW2 levels65078317411060%1.212.9%3.2%9.8%1.9%1.733.43+1.0
201831MLB MLEBaltimore Orioles3103313315300%1.111.3%2.3%9.0%0.0%1.932.43+0.8
201831MLB RAWBaltimore Orioles3103313315300%1.111.3%2.3%9.0%0.0%1.932.46+0.8
201932MIX MLE3 levels5725925232764%1.012.8%2.6%10.2%2.3%5.163.61+0.7
201932MIX RAW3 levels5725925232764%1.012.7%2.8%9.9%2.4%5.163.69+0.6
202033MLB MLEMiami Marlins210176711300%0.816.4%4.5%11.9%0.0%2.162.28+0.5
202033MLB RAWMiami Marlins210176711300%0.816.4%4.5%11.9%0.0%2.162.32+0.4
202134MLB MLEMiami Marlins6805822544340%0.919.6%1.3%18.2%1.9%2.952.64+1.3
202134MLB RAWMiami Marlins6805822544340%0.919.6%1.3%18.2%1.8%2.952.63+1.3
202235MIX MLE3 levels5725323234934%0.914.4%3.2%11.3%1.4%3.403.06+0.9
202235MIX RAW3 levels5725323234934%0.914.7%3.9%10.8%1.3%3.403.06+0.9
202336MIX MLE3 levels3614117723753%1.112.1%3.0%9.1%3.9%4.834.59-0.0
202336MIX RAW3 levels3614117723753%1.113.0%4.0%9.0%2.8%4.834.08+0.2
202437AAA MLERochester Red Wings150176810220%1.112.6%2.6%10.0%3.3%4.324.17—
202437AAA MLERochester Red Wings150176810220%1.112.6%2.6%10.0%3.3%4.324.17—
202437AAA RAWRochester Red Wings150176810220%1.114.7%2.9%11.8%2.9%4.323.82—
▸ Career totals (raw MLB only — as recorded)
MLB Career—3352330137118740241%1.013.6%2.9%10.7%1.8%3.273.28+5.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
202740MLBWSH505214210%1.020.5%8.7%11.8%3.0%4.294.48+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
202841MLB MLEWSH28029123241240%1.019.4%9.4%9.9%3.4%4.664.91-0.1
202841MLB CTXWSH——0——————19.4%9.4%9.9%3.4%4.664.91—
▸ Career totals — MLB only (actual + projected)
Career— RAW3352330137118740241%1.013.6%2.9%10.7%1.8%3.273.28+5.0
/ 200 IP— RAW203120083011324151%1.013.6%2.9%10.7%1.8%3.273.28+3.0
Career— MLE413416082485294723710%1.511.8%2.9%9.0%1.5%3.063.29+4.9
/ 200 IP— MLE1361320081797241210%1.511.8%2.9%9.0%1.5%3.063.29+2.7

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.

2024 AAARochester Red Wings · 17 IPFIP 3.85 → 4.17 (+0.32)K% 14.7% → 12.6%
ComponentRawPark ÷Level factor ×= MLE
K% /BF14.71%—×0.86012.65%
BB% (unintentional) /BF2.94%—×0.9002.65%
HR / BF /BF2.94%÷0.986×1.1003.28%

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 97).

Result: FIP 3.85 → 4.17, 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 AAAIowa Cubs · 9 IPFIP 3.00 → 3.05 (+0.05)K% 12.2% → 10.5%
ComponentRawPark ÷Level factor ×= MLE
K% /BF12.20%—×0.86010.49%
BB% (unintentional) /BF7.32%—×0.9006.59%
HR / BF /BF0.00%÷0.965×1.1000.00%

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 93).

Result: FIP 3.00 → 3.05, 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).

2017 AAANorfolk Tides · 15 IPFIP 0.66 → 0.96 (+0.29)K% 28.8% → 25.4%
ComponentRawPark ÷Level factor ×= MLE
K% /BF28.85%—×0.88025.38%
BB% (unintentional) /BF0.00%—×1.0500.00%
HR / BF /BF0.00%÷0.866×1.1000.00%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 73).

Result: FIP 0.66 → 0.96, 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).

2016 AAAScranton/Wilkes-Barre RailRiders · 58 IPFIP 3.26 → 3.44 (+0.18)K% 10.4% → 9.2%
ComponentRawPark ÷Level factor ×= MLE
K% /BF10.42%—×0.8809.17%
BB% (unintentional) /BF4.58%—×1.0504.81%
HR / BF /BF0.83%÷0.996×1.1000.92%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 99).

Result: FIP 3.26 → 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).

2015 AAHarrisburg Senators · 103 IPFIP 3.33 → 3.69 (+0.36)K% 9.9% → 8.0%
ComponentRawPark ÷Level factor ×= MLE
K% /BF9.90%—×0.8108.02%
BB% (unintentional) /BF1.98%—×1.1002.18%
HR / BF /BF1.49%÷0.986×1.2001.81%

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 97).

Result: FIP 3.33 → 3.69, 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).

2015 AAASyracuse Chiefs · 69 IPFIP 2.66 → 2.77 (+0.11)K% 9.0% → 7.9%
ComponentRawPark ÷Level factor ×= MLE
K% /BF8.99%—×0.8807.91%
BB% (unintentional) /BF2.52%—×1.0502.64%
HR / BF /BF0.00%÷1.183×1.1000.00%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 137).

Result: FIP 2.66 → 2.77, 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 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.

Player162sIP/yrK%BB%HR/9ERA
OGILVIE CAREER PROJECTION2.04514.9%4.9%0.783.49
Dan Otero ('19)2.05815.8%3.4%0.823.39
Luis Ayala ('13)2.86215.7%5.9%0.883.34
Steve Howe ('96)1.14512.3%5.3%0.753.57
Ramon Hernandez ('67-'77, 6 WAR*)2.26119.7%*7.3%*0.77*3.65*
Tony Castillo ('88-'98, 4 WAR*)2.65918.5%*7.3%*0.98*3.76*
Bill Castro ('74-'83, 5 WAR*)2.76813.8%*6.2%*0.83*3.64*