I<3 My Choppa — CS2 Stats
76561198145003296[U:1:184737568]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
Strengths
CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 68% on CT to 50% on T — the same duels are being taken with worse setups on the attacking side.
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 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 23 | 8–15 | 35% | 0.03 | |
| D | 17 | 5–12 | 29% | 0.02 | |
| A | 16 | 10–6 | 63% | 0.03 | |
| C | 9 | 4–5 | 44% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.04 | |
| A | 8 | 5–3 | 63% | 0.04 | |
| C | 7 | 3–4 | 43% | -0.01 | |
| office | C | 5 | 2–3 | 40% | 0.03 |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 26 | 58% | 1.36 | 18.4 |
| Dust2 | 10 | 40% | 1.08 | 16.6 |
| Anubis | 9 | 78% | 1.44 | 16.4 |
| Ancient | 8 | 50% | 1.27 | 18.1 |
| Inferno | 7 | 57% | 1.43 | 17.4 |
| Vertigo | 6 | 17% | 1.01 | 18.0 |
| Nuke | 5 | 80% | 1.39 | 13.8 |
| Overpass | 1 | 100% | 1.15 | 23.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.02 | 19% | 19 Aug → | ||
| 6–13 | 0.03 | 38% | 19 Aug → | ||
| 10–13 | 0.03 | 9% | 19 Aug → | ||
| 6–13 | -0.02 | 19% | 15 Aug → | ||
| office | 12–12 | 0.05 | 13% | 1 Jul → | |
| 4–13 | -0.01 | 17% | 26 Jun → | ||
| 13–1 | 0.00 | 10% | 25 Jun → | ||
| office | 7–13 | -0.06 | 38% | 25 Jun → | |
| office | 9–13 | -0.01 | 17% | 19 Jun → | |
| 1–13 | -0.09 | 33% | 12 Jun → | ||
| 4–13 | -0.01 | 26% | 10 Jun → | ||
| 13–7 | -0.02 | 12% | 9 Jun → | ||
| 10–13 | 0.05 | 14% | 8 Jun → | ||
| 11–13 | 0.01 | 48% | 3 Jun → | ||
| 13–11 | -0.03 | 17% | 3 Jun → | ||
| 5–13 | -0.01 | 16% | 2 Jun → | ||
| 6–13 | -0.05 | 11% | 1 Jun → | ||
| 10–2 | 0.02 | 15% | 1 Jun → | ||
| 13–9 | 0.07 | 29% | 31 May → | ||
| 10–13 | 0.06 | 24% | 31 May → | ||
| 13–6 | 0.07 | 29% | 27 May → | ||
| 13–5 | 0.06 | 21% | 25 May → | ||
| 13–11 | 0.04 | 25% | 25 May → | ||
| 13–8 | -0.01 | 15% | 21 May → | ||
| 13–4 | 0.04 | 18% | 20 May → | ||
| 13–10 | 0.02 | 26% | 20 May → | ||
| 13–2 | 0.09 | 19% | 19 May → | ||
| 8–13 | -0.06 | 9% | 19 May → | ||
| 12–12 | -0.03 | 17% | 19 May → | ||
| 13–9 | 0.06 | 24% | 19 May → | ||
| 0–3 | -0.01 | 0% | 19 May → | ||
| 13–11 | -0.03 | 16% | 19 May → | ||
| 13–8 | 0.00 | 13% | 18 May → | ||
| 3–13 | 0.03 | 13% | 18 May → | ||
| office | 13–2 | 0.17 | 60% | 18 May → | |
| office | 2–0 | 0.01 | 50% | 18 May → | |
| 6–13 | -0.05 | 11% | 18 May → | ||
| 13–5 | -0.01 | 27% | 18 May → | ||
| 8–13 | 0.00 | 18% | 18 May → | ||
| 13–5 | 0.06 | 16% | 18 May → | ||
| 3–13 | -0.02 | 9% | 17 May → | ||
| 13–5 | -0.05 | 20% | 14 May → | ||
| 13–6 | 0.02 | 21% | 13 May → | ||
| 0–13 | -0.01 | 17% | 13 May → | ||
| 12–12 | 0.04 | 14% | 13 May → | ||
| 13–7 | 0.06 | 23% | 13 May → | ||
| 13–6 | 0.04 | 14% | 11 May → | ||
| 8–12 | 0.15 | 37% | 11 May → | ||
| 12–12 | 0.03 | 18% | 11 May → | ||
| 16–14 | 0.09 | 27% | 6 May → | ||
| 13–4 | 0.11 | 40% | 5 May → | ||
| 7–13 | 0.08 | 19% | 5 May → | ||
| 13–4 | 0.07 | 22% | 5 May → | ||
| 11–13 | 0.03 | 31% | 4 May → | ||
| 12–12 | 0.03 | 18% | 4 May → | ||
| 13–11 | 0.05 | 30% | 3 May → | ||
| 8–13 | 0.01 | 19% | 30 Apr → | ||
| 13–7 | 0.13 | 31% | 29 Apr → | ||
| 12–12 | 0.04 | 26% | 29 Apr → | ||
| 13–6 | 0.09 | 17% | 29 Apr → | ||
| 8–13 | 0.05 | 26% | 29 Apr → | ||
| 10–13 | -0.08 | 14% | 28 Apr → | ||
| 13–8 | 0.03 | 21% | 28 Apr → | ||
| 5–13 | 0.07 | 15% | 25 Apr → | ||
| 4–13 | -0.02 | 31% | 24 Apr → | ||
| 11–13 | -0.02 | 15% | 24 Apr → | ||
| 13–9 | -0.01 | 26% | 19 Apr → | ||
| 12–12 | -0.01 | 13% | 19 Apr → | ||
| 13–10 | -0.00 | 19% | 19 Apr → | ||
| 6–13 | -0.03 | 32% | 18 Apr → | ||
| 6–13 | 0.11 | 37% | 17 Apr → | ||
| 13–7 | 0.06 | 41% | 17 Apr → | ||
| 7–13 | 0.06 | 33% | 16 Apr → | ||
| 9–13 | -0.06 | 22% | 14 Apr → | ||
| 13–4 | -0.02 | 20% | 14 Apr → | ||
| 13–9 | 0.01 | 8% | 14 Apr → | ||
| 13–10 | 0.06 | 28% | 13 Apr → | ||
| 9–13 | 0.08 | 18% | 11 Apr → | ||
| 5–13 | -0.04 | 27% | 10 Apr → | ||
| 13–7 | 0.01 | 30% | 4 Apr → | ||
| 13–7 | 0.01 | 26% | 4 Apr → | ||
| 13–5 | 0.00 | 26% | 4 Apr → | ||
| 13–4 | 0.14 | 19% | 4 Apr → | ||
| 13–9 | 0.02 | 20% | 4 Apr → | ||
| 11–13 | 0.10 | 18% | 4 Apr → | ||
| 13–7 | 0.03 | 28% | 4 Apr → | ||
| 13–11 | -0.03 | 30% | 2 Apr → | ||
| 7–13 | -0.03 | 19% | 2 Apr → | ||
| 6–13 | 0.08 | 39% | 1 Apr → | ||
| 10–13 | 0.06 | 28% | 1 Apr → | ||
| 13–10 | 0.16 | 31% | 30 Mar → | ||
| 8–13 | 0.10 | 12% | 30 Mar → | ||
| 9–2 | 0.20 | 16% | 24 Mar → | ||
| 6–9 | 0.01 | 11% | 24 Mar → | ||
| 6–13 | 0.01 | 16% | 23 Mar → | ||
| 1–13 | -0.01 | 22% | 22 Mar → | ||
| 1–13 | -0.13 | 6% | 20 Mar → | ||
| 5–13 | -0.03 | 24% | 19 Mar → | ||
| 7–13 | -0.04 | 10% | 19 Mar → | ||
| 9–13 | 0.09 | 18% | 18 Mar → |
Match data via Leetify.