/ CEX / PFI REPORT / WEEK 2 / 2026

CEX Week 2 analytical report

Player Form Index report for Czech Extraliga through two weekends (Week 1 + Week 2, through Apr 18). Separates single-game Raw Impact (run-value contribution) from standardized PFI (0-10), then summarizes league context, team board, player leadership, momentum, and short-window recommendations.

Data cut: Sunday, April 19, 2026

Window: Weeks 1-2 (through Apr 18, 2026)

Games captured: 16

HOMEREPORTS HUBCEX TEAM INDEX

Scope and sample

Coverage includes completed Czech Extraliga games through April 18, 2026 (Week 1 + Week 2). Source chain: official CEX box scores to local form pipeline.

COMPLETED GAMES

16

MAPPED LOGS

402

RANKED PLAYERS

146

DATA INPUTSBox scores (2026)PFI game logs (2026)PFI season table (2026)

Executive takeaways

CURRENT LEADER

Cardion Hroši Brno (4-0, +21) with the strongest run-prevention profile in the sample.

LARGEST TEAM JUMP

Draci Brno posted the biggest Week 2 shift (RF/G 3.00 -> 7.50).

SINGLE-GAME CEILING

ČERVENKA Martin recorded the top raw impact game at 7.06.

PRIMARY RISK FLAG

Pitcher micro-stints can overstate raw impact unless reliability is applied.

How to Read Raw Impact vs PFI

METHOD FRAME

Raw Impact is the player's single-game run-value contribution before seasonal smoothing.

Raw Impact = batting xR + pitching xRA-prevention/workload + defense contribution.

Context layer adds leverage/share/two-way bridge adjustments (contextDelta).

Raw Impact is uncapped and reflects run-value impact units, not rating points.

PFI standardizes raw by role cohort (hitter/pitcher/two-way), applies reliability, and caps output to a 0-10 scale.

EXAMPLES

ČERVENKA Martin

Raw 7.06

PFI 10.00

Massive batting-driven game impact.

TAMBA Natsuki

Raw 5.99

PFI 10.00

Pitching output plus max context lift.

MINAŘÍK Marek

Raw 5.58

PFI 7.65

Strong two-way raw inside a tougher role distribution.

League context and volatility

Early sample is lower-scoring than FD1 with mixed game margins and batting-led impact production.

RUN ENVIRONMENT

RUNS / GAME

7.94

Across 16 games

PFI MEAN

5.15

n = 402 game logs

RAW MEAN

0.97

Pre-standardization baseline

GAME MARGIN MIX

One-run18.8%

2-3 runs31.3%

4-7 runs37.5%

8+ runs12.5%

Counts: 3 one-run, 8 decided by <= 3, 2 blowouts (8+).

PFI DISTRIBUTION AND RATES

PFI P10

3.24

PFI MEDIAN

4.68

PFI P90

7.60

HIGH-IMPACT RATE

7.5%

30 / 402 (PFI >= 8.0)

LOW-IMPACT RATE

24.4%

98 / 402 (PFI < 4.0)

IQR (P25-P75): 4.04 to 6.12

ROLE MIX

Batting72.3%

Pitching26.2%

Defense1.5%

Context delta share of raw: 5.1%

Team performance board

Cardion Hroši Brno

4-0

PFI: 5.35

RD: +21

RF/G: 5.75

RA/G: 0.50

Draci Brno

2-2

PFI: 5.35

RD: +2

RF/G: 5.25

RA/G: 4.75

Třebíč Nuclears

2-2

PFI: 5.15

RD: -1

RF/G: 3.75

RA/G: 4.00

Eagles Praha

2-2

PFI: 5.14

RD: -4

RF/G: 4.50

RA/G: 5.50

Kotlářka Praha

2-2

PFI: 5.12

RD: +4

RF/G: 5.00

RA/G: 4.00

Sokol Hluboká

2-2

PFI: 5.08

RD: -3

RF/G: 3.50

RA/G: 4.25

Arrows Ostrava

1-3

PFI: 5.02

RD: -1

RF/G: 2.50

RA/G: 2.75

SaBaT Praha

1-3

PFI: 4.89

RD: -18

RF/G: 1.50

RA/G: 6.00

TEAM PFI DISTRIBUTION

Hroši are the most complete team through two weeks, driven by run suppression.
Draci's offensive acceleration is the main trend shift entering Week 3.
SaBaT improved week-over-week prevention but still carries the weakest full-sample run line.

Role-Specific Market Read

Hitters

Logs 308

PFI 5.10

Raw 0.86

Rel 0.90

Pitchers

Logs 86

PFI 5.34

Raw 1.19

Rel 0.72

Two-way

Logs 8

PFI 5.00

Raw 2.95

Rel 1.00

Pitchers show higher raw impact per appearance, but lower reliability because short-stint variance remains elevated.
Two-way logs are a small sample but still show above-average raw density across both run-creation and run-prevention paths.

Top Single-Game Raw Performances

1. ČERVENKA Martin

7.06

2. TAMBA Natsuki

5.99

3. MINAŘÍK Marek

5.58

4. JOHNSON Ryan

5.35

5. OCHOA Roldan

5.29

6. ONDRA Tomáš

5.07

7. UEMURA Koya

5.05

8. NOVÁK Jan

4.77

Top Single-Game Raw captures the largest absolute game-impact spike. Top Single-Game PFI captures the strongest standardized role/context grade.

Two-way players in this Top Raw set: MINAŘÍK, JOHNSON, UEMURA.

Stable season form leaders (>=2 games)

No season Hot tier yet (>= 7.5) at player-summary level after two weekends due to sample size and confidence shrink.

1. TAMBA Natsuki

6.89

2. SATORIA Ondrej

6.71

3. BLAŽEK Šimon

6.67

4. Lima Jose

6.65

5. ČERVENKA Martin

6.64

6. Ogino Takashi

6.58

7. HLOUCH Lukáš

6.53

8. TRUNKÁT Lukáš

6.45

9. OCHOA Roldan

6.41

10. ŘÍČNÝ Tomáš

6.38

Stability vs Ceiling (4-game sample)

MOST BANKABLE FORM

ZÝMA Petr (SD 0.93, season 5.98)

Bracamonte Gabriel (SD 1.27, season 5.88)

POKORNÝ Michal (SD 1.31, season 6.25)

UEMURA Koya (SD 1.35, season 6.16)

HIGH-VARIANCE CEILING

ČERVENKA Martin (SD 3.05, season 6.64)

ANTOŇ Michal (SD 2.63, season 6.08)

BLAŽEK Šimon (SD 2.45, season 6.67)

TRUNKÁT Lukáš (SD 2.39, season 6.45)

Weekend risers

Week 2 minus Week 1 PFI delta

ONDRA Tomáš

↑ +6.86

NOVÁK Jan

↑ +5.39

LUKAVSKÝ Kryštof

↑ +4.67

DVOŘÁK Matěj

↑ +4.57

ČERVINKA Martin

↑ +4.41

Weekend drop-offs

Week 2 minus Week 1 PFI delta

ZELENKA Martin

↓ -5.92

ERCOLI Lukáš

↓ -4.46

OCHOA Roldan

↓ -4.12

SLAPNIČKA Marek

↓ -3.77

ŠABACKÝ Vojtěch

↓ -3.72

Team movement

Weekend 2 vs Weekend 1 team-weighted PFI deltas

Bar scale: relative absolute delta in this list (100% = DRA +1.22).

DRA

↑ +1.22

SAB

↑ +0.48

NUC

↑ +0.09

HLU

↑ +0.01

KOT

↓ -0.28

HRO

↓ -0.29

EAG

↓ -0.43

ARR

↓ -0.50

Two-way value board

Dual-impact mix by run creation and prevention. This cluster is high-value for scouting because impact is showing up on both paths in the same windows.

UEMURA Koya

64% bat / 36% pitch

MINAŘÍK Marek

45% bat / 55% pitch

JOHNSON Ryan

29% bat / 70% pitch

Next two-week recommendations

1. Hroši are currently the most complete unit; run prevention profile is carrying sustainability signal.
2. Draci's Week 2 offensive breakout is the most important trend change in the league.
3. Kotlářka has elite spike-output bats but higher game-to-game outcome variance.
4. Two-way talent is sparse but high-impact; UEMURA and MINAŘÍK are priority follow tracks.
5. Treat high PFI with low reliability carefully for pitchers in micro-stints; apply role/IP filters before decisions.
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