Patse_ — CS2 Stats
76561198122359073[U:1:162093345]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Strong CT-side opener
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 76% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
T-side openings. Opening success drops from 42% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 3.9/10 (Learning), 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 |
|---|---|---|---|---|---|
| A | 27 | 16–11 | 59% | -0.00 | |
| A | 18 | 10–8 | 56% | -0.00 | |
| C | 16 | 6–10 | 38% | -0.03 | |
| D | 12 | 2–10 | 17% | -0.02 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| C | 8 | 3–5 | 38% | -0.03 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 187 | 56% | 0.87 | 12.7 |
| Dust2 | 129 | 43% | 0.79 | 12.0 |
| Nuke | 127 | 54% | 0.88 | 13.2 |
| Anubis | 123 | 53% | 0.88 | 13.2 |
| Mirage | 90 | 46% | 0.77 | 11.2 |
| Overpass | 83 | 54% | 0.91 | 13.3 |
| Ancient | 81 | 49% | 0.76 | 11.6 |
| Train | 50 | 44% | 0.75 | 12.1 |
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 16.9602% — 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.
17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.03 | 23% | 25 Aug → | ||
| 16–12 | 0.02 | 13% | 21 Aug → | ||
| 13–8 | 0.03 | 17% | 21 Aug → | ||
| 10–13 | -0.05 | 9% | 21 Aug → | ||
| 4–13 | -0.08 | 29% | 20 Aug → | ||
| 2–13 | -0.07 | 17% | 20 Aug → | ||
| 3–13 | -0.03 | 18% | 20 Aug → | ||
| 13–10 | -0.04 | 13% | 11 Aug → | ||
| 2–13 | -0.03 | 5% | 11 Aug → | ||
| 13–11 | 0.01 | 11% | 8 Aug → | ||
| 9–13 | -0.05 | 27% | 8 Aug → | ||
| 13–10 | 0.04 | 17% | 8 Aug → | ||
| 13–5 | 0.06 | 29% | 7 Aug → | ||
| 9–13 | -0.01 | 15% | 6 Aug → | ||
| 8–13 | -0.05 | 15% | 3 Aug → | ||
| 13–10 | -0.01 | 21% | 3 Aug → | ||
| 5–13 | -0.04 | 15% | 1 Aug → | ||
| 13–9 | 0.01 | 10% | 1 Aug → | ||
| 1–13 | -0.04 | 23% | 1 Aug → | ||
| 7–13 | -0.03 | 24% | 24 Jul → | ||
| 15–15 | -0.01 | 20% | 24 Jul → | ||
| 13–10 | 0.03 | 29% | 24 Jul → | ||
| 13–8 | 0.06 | 11% | 18 Jul → | ||
| 8–13 | 0.02 | 20% | 18 Jul → | ||
| 4–13 | -0.02 | 10% | 17 Jul → | ||
| 13–8 | 0.02 | 20% | 17 Jul → | ||
| 5–13 | -0.06 | 30% | 17 Jul → | ||
| 14–16 | -0.01 | 16% | 17 Jul → | ||
| 13–8 | -0.02 | 18% | 17 Jul → | ||
| 13–4 | 0.08 | 28% | 15 Jul → | ||
| 13–10 | 0.06 | 13% | 11 Jul → | ||
| 15–15 | -0.02 | 16% | 11 Jul → | ||
| 0–13 | -0.07 | 0% | 11 Jul → | ||
| 3–13 | -0.04 | 24% | 9 Jul → | ||
| 15–15 | -0.03 | 19% | 9 Jul → | ||
| 16–13 | 0.00 | 14% | 9 Jul → | ||
| 13–7 | -0.02 | 12% | 9 Jul → | ||
| 1–13 | -0.16 | 10% | 9 Jul → | ||
| 13–6 | -0.08 | 26% | 9 Jul → | ||
| 13–10 | 0.02 | 27% | 9 Jul → | ||
| 8–13 | 0.04 | 23% | 2 Jul → | ||
| 11–13 | -0.01 | 11% | 2 Jul → | ||
| 13–6 | -0.03 | 15% | 2 Jul → | ||
| 5–13 | -0.03 | 16% | 2 Jul → | ||
| 13–10 | -0.04 | 9% | 2 Jul → | ||
| 11–13 | -0.04 | 9% | 30 Jun → | ||
| 16–14 | -0.00 | 17% | 29 Jun → | ||
| 7–13 | -0.04 | 26% | 28 Jun → | ||
| 10–13 | 0.01 | 14% | 28 Jun → | ||
| 13–11 | -0.04 | 17% | 27 Jun → | ||
| 10–13 | -0.02 | 19% | 27 Jun → | ||
| 13–11 | 0.01 | 11% | 27 Jun → | ||
| 11–13 | -0.05 | 24% | 27 Jun → | ||
| 13–9 | -0.01 | 20% | 27 Jun → | ||
| 21–25 | -0.02 | 7% | 26 Jun → | ||
| 16–14 | 0.02 | 19% | 26 Jun → | ||
| 2–13 | -0.06 | 8% | 26 Jun → | ||
| 13–6 | -0.02 | 21% | 26 Jun → | ||
| 13–7 | 0.06 | 22% | 26 Jun → | ||
| 13–8 | 0.01 | 16% | 26 Jun → | ||
| 13–3 | -0.00 | 14% | 26 Jun → | ||
| 15–15 | -0.04 | 24% | 17 Jun → | ||
| 11–13 | -0.01 | 32% | 17 Jun → | ||
| 16–14 | -0.02 | 20% | 13 Jun → | ||
| 11–13 | 0.02 | 17% | 13 Jun → | ||
| 6–13 | -0.04 | 23% | 13 Jun → | ||
| 4–13 | -0.09 | 19% | 13 Jun → | ||
| 8–13 | -0.08 | 33% | 12 Jun → | ||
| 13–4 | -0.04 | 16% | 10 Jun → | ||
| 13–8 | 0.01 | 18% | 9 Jun → | ||
| 13–3 | 0.02 | 21% | 9 Jun → | ||
| 15–15 | 0.02 | 10% | 6 Jun → | ||
| 1–13 | -0.01 | 23% | 6 Jun → | ||
| 10–13 | -0.01 | 12% | 6 Jun → | ||
| 7–13 | -0.03 | 10% | 6 Jun → | ||
| 1–13 | -0.09 | 8% | 6 Jun → | ||
| 15–15 | 0.01 | 15% | 6 Jun → | ||
| 9–13 | -0.05 | 15% | 5 Jun → | ||
| 13–10 | -0.00 | 17% | 5 Jun → | ||
| 11–13 | 0.03 | 24% | 5 Jun → | ||
| 3–13 | -0.06 | 16% | 5 Jun → | ||
| 13–6 | 0.04 | 27% | 4 Jun → | ||
| 13–9 | -0.00 | 12% | 4 Jun → | ||
| 13–8 | -0.01 | 21% | 4 Jun → | ||
| 13–7 | 0.06 | 16% | 4 Jun → | ||
| 15–15 | -0.01 | 14% | 3 Jun → | ||
| 13–8 | 0.02 | 19% | 3 Jun → | ||
| 9–13 | 0.02 | 13% | 2 Jun → | ||
| 13–11 | -0.04 | 19% | 31 May → | ||
| 13–3 | 0.01 | 24% | 31 May → | ||
| 13–9 | 0.09 | 17% | 30 May → | ||
| 6–13 | -0.03 | 16% | 29 May → | ||
| 13–10 | 0.01 | 16% | 27 May → | ||
| 13–7 | -0.00 | 11% | 27 May → | ||
| 13–6 | -0.01 | 33% | 20 May → | ||
| 6–13 | -0.02 | 24% | 20 May → | ||
| 5–13 | -0.06 | 19% | 20 May → | ||
| 11–13 | -0.04 | 25% | 13 May → | ||
| 11–13 | -0.03 | 19% | 13 May → | ||
| 13–9 | 0.07 | 44% | 13 May → |
Match data via Leetify.
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