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  • Projections
    In-house Bayesian model · career prior + aging × stuff/discipline signals
  • Plate Discipline
    Decision+ · chase / passive cost · K% · BB%
  • Command & Stuff
    Pitching+ · Stuff+ · Command+ · meatball rate
  • Pitcher Stuff Lab
    In-zone whiff · xwOBAcon · tunnel · deception · count predictability
  • Stuff Model (diag)
    From-scratch XGBoost training runs, feature importance, pitcher grades
  • Expected Points
    Luck-neutral fantasy points · xSLG / xwOBA · ΔPts
  • Hitter Frontier
    Power × discipline tradeoff · Pareto-frontier hitters
  • Pitcher Frontier
    Process × contact-suppression · pound the zone vs limit damage
  • Hitter Vulnerabilities
    Biggest pitch-trait strengths & weaknesses · vs league or vs own
  • AAA Hitters
    Triple-A bats · xwOBA · contact quality · discipline · frontier
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Harold Castro

Harold Castro

3B / SS·FA
Compare
Compare
BF
11
K %
0.0%
BB %
9.1%
xwOBA
.356
PTS
-3
PPG
-1.50
Career Seasons
YrGGSIPWLSVHLDERAFIPK%BB%K-BB%xwOBABABIPLOB%GB%PtsPPG
2023202.000009.006.100.0%9.1%-9.1%.356.44466.7%33.3%-3-1.50
2023 MLB Percentiles

Pitching Profile

11 BF — below qualified cutoff. Percentiles vs. qualified pool (faded).

Arsenal
FB Velo
0
—
FB Spin
0
—
2022
4
0
4.0
0
0
0
0
4.50
4.10
5.6%
5.6%
0.0%
.438
.400
75.0%
26.7%
2
0.50
2021302.700000.006.480.0%27.3%-27.3%.406.000100.0%37.5%51.67
Extension
0
4.84
Results
xwOBA
12
.356
Barrel %
100
0.0
Hard-Hit %
0
55.6
K %
0
0.0
BB %
22
9.1
Chase %
0
12.5
Whiff %
33
21.4
Command & Stuff

Pitching+

Expected run-value conceded per pitch against a rational hitter, standardized against the season. 100 = avg · 110 = 1 SD better.

Pitching+
7
≈ 1th pctl
Stuff+
14
if they swing
Command+
77
out-of-zone take RV
Strike quality+
3
RV of in-zone pitches
Crushable pitches
41.4%
12 meatballs
Putaway counts (0-2, 1-2)
0.116
RV per pitch · league 0.048
+0.068 worse than avg · 5 pitches
Lower RV = more wasted whiff chances when they choose not to put hitters away.
Hitter's counts (3-0, 3-1, 2-0)
0.075
RV per pitch · league 0.030
+0.045 worse than avg · 3 pitches
How often they groove get-me-overs vs. nibble safely.
Based on 29 pitches. RV = Statcast delta_run_exp; lower = better for the pitcher.
Pitch Arsenal
PitchUsageVeloSpinIVBHBExtWhiff%Zone%CSW%Chase%PutAway%xwOBA
EephusEP
75.9%56.51500+11.9+3.84.6927.3%50.0%22.7%9.1%0.0%0.343
OtherFA
24.1%72.61926

2023 Movement Profile (Induced Break)

MLB Avg.
6"12"18"24"24"24"24"1B ◀ MOVES TOWARD ▶ 3B▲MORERISE▼MOREDROPARMANGLE20°100 PITCHSAMPLE
EPFA
Usage76%24%
MPH56.572.6
RHP Avg48.167.4

2023 Swing-Out Snapshot

Commit at the decision point, then fast-forward 150ms. Where is each pitch when your bat crosses the zone? Two views of the same moment — catcher-facing and from the side.

Catcher View
horizontal × vertical
0.5′1′1.5′2′2.5′3′DECISIONPOINTEP · 16″FA · 17″arm side ◀ ▶ glove sidedrops ◀ ▶ rises
Side View
depth × vertical
1′2′3′4′5′6′-3′0′5′10′15′20′23′EP · 119″FA · 78″DECISION POINTPLATEfeet to plate
swing time150 ms

Each pitch is launched from a shared decision point (5.34′ height) and advanced using its own Statcast kinematics (release velocity + constant acceleration, so gravity, drag, and Magnus are all in the curve). RHP.

2023 Tunneling

Where pitches are when the hitter commits — and where they end up. Tighter cluster on the left = more deceptive arsenal.

At Decision
23 ft out · ~280ms before arrival
EPFA-2′-1′0′1′2′1′2′3′4′1B ◀ catcher view ▶ 3B
At the Plate
Where they actually cross
EPFA-2′-1′0′1′2′1′2′3′4′1B ◀ catcher view ▶ 3B
EPFA

Decision point computed from Statcast kinematics (vx0/vy0/vz0, ax/ay/az) by projecting each pitch back to y = 23 ft. Coordinates in catcher’s view: 1B on the left, 3B on the right. RHP.

+11.1
+7.7
5.31
0.0%
28.6%
14.3%
20.0%
0.0%
0.385