Pomfritten- — CS2 Stats
76561198351972301[U:1:391706573]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.00 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like NiKo 90% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| C | 33 | 13–20 | 39% | 0.03 | |
| A | 28 | 18–10 | 64% | 0.02 | |
| C | 22 | 9–13 | 41% | 0.00 | |
| B | 6 | 3–3 | 50% | 0.00 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (39% over 33). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 335 | 60% | 1.21 | 16.9 |
| Inferno | 292 | 51% | 1.17 | 17.0 |
| Ancient | 276 | 49% | 1.02 | 16.1 |
| Anubis | 143 | 38% | 1.07 | 16.1 |
| Vertigo | 122 | 56% | 1.17 | 16.3 |
| Train | 103 | 52% | 1.25 | 17.4 |
| Overpass | 101 | 46% | 1.14 | 18.3 |
| Dust2 | 27 | 41% | 0.99 | 15.4 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 30.1899% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
39% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.03 | 20% | 27 Aug → | ||
| 13–7 | 0.06 | 17% | 27 Aug → | ||
| 10–13 | 0.01 | 15% | 25 Aug → | ||
| 14–16 | 0.01 | 12% | 21 Aug → | ||
| 13–16 | -0.01 | 28% | 21 Aug → | ||
| 13–11 | 0.01 | 29% | 21 Aug → | ||
| 6–13 | -0.07 | 25% | 11 Aug → | ||
| 13–5 | 0.14 | 17% | 10 Aug → | ||
| 13–9 | 0.08 | 19% | 10 Aug → | ||
| 13–4 | 0.11 | 16% | 10 Aug → | ||
| 9–13 | -0.01 | 16% | 3 Aug → | ||
| 13–11 | -0.03 | 24% | 3 Aug → | ||
| 11–13 | 0.02 | 24% | 3 Aug → | ||
| 13–5 | 0.02 | 26% | 27 Jul → | ||
| 13–6 | 0.04 | 12% | 27 Jul → | ||
| 13–7 | 0.01 | 15% | 27 Jul → | ||
| 14–16 | 0.07 | 23% | 8 Jul → | ||
| 13–11 | 0.04 | 20% | 6 Jul → | ||
| 13–3 | 0.06 | 12% | 30 Jun → | ||
| 7–13 | 0.08 | 18% | 26 Jun → | ||
| 13–9 | 0.01 | 18% | 25 Jun → | ||
| 13–8 | 0.08 | 26% | 12 Jun → | ||
| 14–16 | 0.02 | 33% | 11 Jun → | ||
| 13–6 | 0.01 | 12% | 6 Jun → | ||
| 14–16 | -0.01 | 11% | 5 Jun → | ||
| 8–13 | -0.00 | 9% | 5 Jun → | ||
| 13–11 | 0.07 | 14% | 5 Jun → | ||
| 9–13 | -0.03 | 9% | 5 Jun → | ||
| 19–16 | 0.05 | 15% | 4 Jun → | ||
| 9–13 | 0.00 | 18% | 25 May → | ||
| 13–8 | 0.10 | 13% | 25 May → | ||
| 8–13 | -0.04 | 2% | 25 May → | ||
| 14–16 | -0.01 | 30% | 25 May → | ||
| 8–13 | 0.02 | 15% | 20 May → | ||
| 11–13 | -0.01 | 14% | 19 May → | ||
| 11–13 | 0.01 | 19% | 19 May → | ||
| 13–8 | -0.00 | 12% | 19 May → | ||
| 13–11 | 0.03 | 17% | 18 May → | ||
| 5–13 | -0.01 | 13% | 18 May → | ||
| 7–13 | -0.03 | 20% | 18 May → | ||
| 13–11 | 0.01 | 8% | 17 May → | ||
| 13–8 | 0.03 | 19% | 17 May → | ||
| 13–11 | -0.01 | 6% | 7 May → | ||
| 4–13 | -0.05 | 9% | 7 May → | ||
| 6–13 | -0.00 | 18% | 7 May → | ||
| 9–13 | -0.04 | 14% | 4 May → | ||
| 13–9 | 0.02 | 14% | 4 May → | ||
| 13–10 | -0.04 | 20% | 3 May → | ||
| 4–13 | -0.06 | 42% | 1 May → | ||
| 13–10 | 0.03 | 17% | 27 Apr → | ||
| 6–13 | -0.04 | 10% | 27 Apr → | ||
| 13–7 | 0.07 | 23% | 27 Apr → | ||
| 7–13 | -0.01 | 17% | 27 Apr → | ||
| 2–13 | -0.01 | 14% | 27 Apr → | ||
| 14–16 | 0.00 | 12% | 22 Apr → | ||
| 13–2 | 0.24 | 23% | 22 Apr → | ||
| 13–11 | 0.05 | 13% | 20 Apr → | ||
| 13–7 | 0.08 | 26% | 20 Apr → | ||
| 9–13 | -0.02 | 14% | 20 Apr → | ||
| 13–9 | 0.04 | 13% | 20 Apr → | ||
| 13–10 | -0.05 | 20% | 17 Apr → | ||
| 13–8 | 0.04 | 21% | 17 Apr → | ||
| 4–13 | -0.02 | 8% | 15 Apr → | ||
| 13–7 | 0.04 | 19% | 15 Apr → | ||
| 13–11 | -0.05 | 9% | 14 Apr → | ||
| 7–13 | -0.07 | 12% | 14 Apr → | ||
| 4–13 | -0.04 | 24% | 14 Apr → | ||
| 16–12 | 0.05 | 18% | 5 Apr → | ||
| 13–11 | 0.02 | 30% | 5 Apr → | ||
| 13–9 | 0.10 | 17% | 5 Apr → | ||
| 9–13 | -0.03 | 13% | 5 Apr → | ||
| 9–13 | 0.09 | 27% | 3 Apr → | ||
| 13–3 | 0.02 | 23% | 2 Apr → | ||
| 5–9 | 0.09 | 14% | 2 Apr → | ||
| 8–13 | 0.03 | 19% | 2 Apr → | ||
| 11–13 | 0.10 | 16% | 2 Apr → | ||
| 4–13 | -0.03 | 9% | 2 Apr → | ||
| 9–5 | 0.09 | 17% | 2 Apr → | ||
| 8–13 | 0.05 | 14% | 2 Apr → | ||
| 13–8 | 0.18 | 14% | 2 Apr → | ||
| 0–13 | -0.00 | 25% | 1 Apr → | ||
| 6–13 | -0.06 | 18% | 1 Apr → | ||
| 13–11 | -0.01 | 18% | 1 Apr → | ||
| 13–11 | -0.03 | 14% | 31 Mar → | ||
| 11–13 | 0.11 | 12% | 31 Mar → | ||
| 13–11 | -0.00 | 20% | 31 Mar → | ||
| 13–9 | 0.01 | 35% | 29 Mar → | ||
| 16–14 | -0.00 | 17% | 26 Mar → | ||
| 11–13 | -0.02 | 18% | 26 Mar → | ||
| 8–13 | 0.04 | 12% | 26 Mar → | ||
| 10–13 | -0.06 | 6% | 26 Mar → | ||
| 4–13 | 0.04 | 17% | 26 Mar → | ||
| 12–16 | -0.04 | 11% | 26 Mar → | ||
| 10–13 | -0.01 | 11% | 26 Mar → | ||
| 16–14 | 0.03 | 18% | 25 Mar → | ||
| 5–13 | -0.06 | 16% | 25 Mar → | ||
| 3–13 | -0.07 | 21% | 25 Mar → | ||
| 4–13 | 0.04 | 6% | 25 Mar → | ||
| 16–14 | -0.05 | 10% | 22 Mar → | ||
| 13–5 | 0.11 | 20% | 19 Mar → |
Match data via Leetify.
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