points — CS2 Stats
76561198040144415[U:1:79878687]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerEffective flashes
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 device 96% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 56% on CT to 41% 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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 34 | 14–20 | 41% | -0.00 | |
| C | 25 | 10–15 | 40% | -0.01 | |
| C | 17 | 7–10 | 41% | 0.00 | |
| C | 9 | 4–5 | 44% | 0.04 | |
| A | 5 | 3–2 | 60% | 0.05 | |
| D | 5 | 1–4 | 20% | -0.01 | |
| — | 2 | 0–2 | 0% | 0.02 | |
| — | 2 | 0–2 | 0% | 0.03 | |
| poseidon | — | 1 | 0–1 | 0% | -0.25 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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 |
|---|---|---|---|---|
| Mirage | 733 | 52% | 1.28 | 18.4 |
| Dust2 | 610 | 56% | 1.28 | 18.8 |
| Ancient | 291 | 54% | 1.18 | 17.3 |
| Anubis | 237 | 48% | 1.24 | 17.7 |
| Inferno | 146 | 51% | 1.29 | 19.8 |
| Train | 77 | 51% | 1.33 | 18.4 |
| Cache | 56 | 48% | 1.38 | 18.3 |
| Nuke | 54 | 48% | 1.21 | 18.3 |
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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.00 | 17% | 22 Aug → | ||
| 13–9 | 0.03 | 38% | 21 Aug → | ||
| 3–13 | -0.04 | 20% | 15 Jul → | ||
| 1–13 | -0.08 | 33% | 15 Jul → | ||
| 2–13 | -0.05 | 18% | 4 Jul → | ||
| 3–13 | -0.02 | 16% | 4 Jul → | ||
| 1–13 | -0.02 | 15% | 29 Jun → | ||
| 5–13 | 0.01 | 10% | 29 Jun → | ||
| 19–17 | -0.00 | 13% | 25 Jun → | ||
| 13–9 | 0.04 | 31% | 25 Jun → | ||
| 13–9 | 0.04 | 19% | 25 Jun → | ||
| 10–13 | -0.03 | 15% | 23 Jun → | ||
| 9–13 | 0.05 | 22% | 22 Jun → | ||
| 13–11 | -0.02 | 20% | 19 Jun → | ||
| 9–13 | -0.07 | 10% | 18 Jun → | ||
| 9–13 | 0.05 | 23% | 18 Jun → | ||
| 13–11 | 0.08 | 36% | 18 Jun → | ||
| 6–13 | -0.01 | 27% | 15 Jun → | ||
| 13–9 | 0.08 | 16% | 15 Jun → | ||
| 13–8 | 0.05 | 50% | 13 Jun → | ||
| 11–13 | -0.00 | 18% | 13 Jun → | ||
| 13–6 | 0.03 | 28% | 13 Jun → | ||
| 7–13 | -0.01 | 28% | 13 Jun → | ||
| 13–6 | 0.04 | 35% | 13 Jun → | ||
| 11–13 | 0.03 | 29% | 13 Jun → | ||
| 11–13 | 0.05 | 23% | 13 Jun → | ||
| 13–4 | 0.05 | 20% | 11 Jun → | ||
| 9–13 | -0.07 | 22% | 11 Jun → | ||
| 13–11 | -0.00 | 21% | 11 Jun → | ||
| 3–13 | -0.02 | 26% | 11 Jun → | ||
| 13–10 | -0.00 | 14% | 11 Jun → | ||
| 9–13 | -0.03 | 27% | 11 Jun → | ||
| 13–3 | 0.15 | 34% | 11 Jun → | ||
| 11–13 | -0.03 | 19% | 11 Jun → | ||
| 11–13 | -0.06 | 17% | 10 Jun → | ||
| 9–13 | -0.00 | 25% | 10 Jun → | ||
| 13–16 | -0.06 | 16% | 9 Jun → | ||
| 22–19 | -0.01 | 18% | 9 Jun → | ||
| 13–7 | -0.00 | 16% | 8 Jun → | ||
| 13–9 | 0.06 | 34% | 5 Jun → | ||
| 16–12 | 0.00 | 9% | 4 Jun → | ||
| 13–8 | -0.02 | 17% | 4 Jun → | ||
| 13–4 | -0.02 | 28% | 4 Jun → | ||
| 13–3 | 0.05 | 29% | 2 Jun → | ||
| 5–13 | -0.02 | 18% | 2 Jun → | ||
| 10–13 | 0.02 | 25% | 31 May → | ||
| 22–18 | 0.04 | 15% | 31 May → | ||
| 3–13 | -0.03 | 24% | 30 May → | ||
| 6–13 | -0.02 | 12% | 28 May → | ||
| 9–13 | -0.03 | 21% | 28 May → | ||
| 16–13 | 0.03 | 14% | 28 May → | ||
| 7–13 | 0.01 | 19% | 28 May → | ||
| 13–5 | 0.06 | 33% | 28 May → | ||
| 12–16 | 0.02 | 10% | 27 May → | ||
| 7–13 | -0.00 | 31% | 27 May → | ||
| 13–9 | 0.12 | 24% | 23 May → | ||
| 8–13 | 0.01 | 25% | 23 May → | ||
| 6–13 | 0.00 | 14% | 23 May → | ||
| 4–13 | 0.00 | 13% | 23 May → | ||
| poseidon | 0–9 | -0.25 | 0% | 23 May → | |
| 8–8 | 0.09 | 28% | 23 May → | ||
| 8–8 | -0.01 | 42% | 23 May → | ||
| 9–3 | 0.12 | 24% | 23 May → | ||
| 6–9 | -0.03 | 12% | 23 May → | ||
| 16–13 | -0.03 | 20% | 23 May → | ||
| 11–13 | -0.00 | 16% | 22 May → | ||
| 16–12 | 0.01 | 22% | 22 May → | ||
| 16–14 | 0.02 | 14% | 21 May → | ||
| 16–19 | 0.02 | 11% | 21 May → | ||
| 5–13 | -0.06 | 11% | 21 May → | ||
| 3–13 | 0.00 | 22% | 20 May → | ||
| 6–13 | -0.07 | 22% | 20 May → | ||
| 13–10 | 0.02 | 18% | 20 May → | ||
| 1–13 | -0.11 | 0% | 18 May → | ||
| 2–13 | 0.04 | 6% | 18 May → | ||
| 11–13 | -0.06 | 12% | 16 May → | ||
| 16–14 | 0.04 | 24% | 16 May → | ||
| 8–13 | 0.06 | 23% | 16 May → | ||
| 13–10 | -0.00 | 13% | 15 May → | ||
| 11–13 | -0.05 | 18% | 15 May → | ||
| 4–13 | 0.08 | 31% | 15 May → | ||
| 8–13 | 0.04 | 26% | 15 May → | ||
| 0–13 | -0.04 | 10% | 14 May → | ||
| 5–13 | -0.02 | 26% | 14 May → | ||
| 13–8 | 0.07 | 22% | 14 May → | ||
| 19–17 | -0.00 | 34% | 14 May → | ||
| 13–8 | 0.02 | 25% | 14 May → | ||
| 7–13 | -0.08 | 19% | 14 May → | ||
| 16–12 | 0.01 | 23% | 14 May → | ||
| 6–13 | -0.02 | 10% | 12 May → | ||
| 6–13 | -0.07 | 26% | 12 May → | ||
| 13–11 | -0.01 | 16% | 12 May → | ||
| 17–19 | 0.02 | 11% | 11 May → | ||
| 8–13 | 0.02 | 31% | 10 May → | ||
| 3–13 | 0.00 | 25% | 7 May → | ||
| 11–13 | -0.03 | 22% | 7 May → | ||
| 9–13 | -0.01 | 24% | 7 May → | ||
| 5–13 | -0.01 | 30% | 6 May → | ||
| 13–11 | 0.03 | 20% | 5 May → | ||
| 13–10 | -0.01 | 16% | 5 May → |
Match data via Leetify.
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