CounterGod — CS2 Stats
76561199856116003[U:1:1895850275]
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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 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 device 96% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 92 — the mechanical foundation is a clear strength.
CT openings. 65% 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 65% on CT to 31% 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 7.5/10 (Strong), 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 |
|---|---|---|---|---|---|
 dust2 | S | 25 | 17–8 | 68% | 0.03 |
 mirage | B | 22 | 11–11 | 50% | 0.04 |
 anubis | S | 14 | 10–4 | 71% | 0.06 |
 inferno | A | 13 | 8–5 | 62% | 0.02 |
 vertigo | C | 9 | 4–5 | 44% | -0.01 |
 ancient | S | 7 | 6–1 | 86% | 0.05 |
 cache | B | 6 | 3–3 | 50% | -0.01 |
 train | — | 2 | 2–0 | 100% | -0.00 |
 nuke | — | 1 | 1–0 | 100% | 0.14 |
 overpass | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 61 | 44% | 1.11 | 16.5 |
| Dust2 | 53 | 49% | 1.40 | 18.9 |
| Anubis | 27 | 59% | 1.13 | 15.4 |
| Inferno | 24 | 50% | 1.15 | 17.1 |
| Ancient | 24 | 67% | 1.28 | 16.5 |
| Nuke | 14 | 64% | 1.26 | 18.0 |
| Cache | 4 | 75% | 1.22 | 17.0 |
| Overpass | 3 | 33% | 1.29 | 22.0 |
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
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 30.5698% — 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.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–5 | 0.04 | 13% | 28 Aug → | |
| ancient | 16–13 | 0.03 | 20% | 23 Aug → | |
| dust2 | 13–4 | 0.03 | 24% | 23 Aug → | |
| anubis | 13–10 | -0.06 | 17% | 18 Aug → | |
| dust2 | 13–1 | -0.02 | 0% | 17 Aug → | |
| dust2 | 13–5 | 0.03 | 19% | 17 Aug → | |
| dust2 | 10–13 | -0.02 | 25% | 14 Aug → | |
| cache | 4–13 | -0.01 | 18% | 14 Aug → | |
| dust2 | 16–14 | 0.09 | 33% | 14 Aug → | |
| mirage | 16–14 | 0.16 | 29% | 14 Aug → | |
| dust2 | 13–10 | 0.05 | 29% | 14 Aug → | |
| ancient | 13–6 | 0.03 | 26% | 13 Aug → | |
| dust2 | 13–0 | 0.15 | 50% | 12 Aug → | |
| nuke | 13–6 | 0.14 | 28% | 12 Aug → | |
| dust2 | 13–9 | -0.13 | 4% | 12 Aug → | |
| train | 13–11 | 0.04 | 12% | 12 Aug → | |
| train | 5–3 | -0.04 | 30% | 12 Aug → | |
| dust2 | 13–8 | 0.08 | 27% | 12 Aug → | |
| dust2 | 13–8 | 0.19 | 53% | 11 Aug → | |
| ancient | 13–5 | 0.13 | 28% | 11 Aug → | |
| mirage | 16–13 | 0.04 | 23% | 11 Aug → | |
| dust2 | 3–13 | -0.11 | 27% | 11 Aug → | |
| dust2 | 13–10 | 0.02 | 17% | 11 Aug → | |
| mirage | 16–14 | 0.14 | 28% | 10 Aug → | |
| dust2 | 13–9 | 0.08 | 23% | 10 Aug → | |
| overpass | 8–13 | 0.03 | 35% | 10 Aug → | |
| inferno | 4–13 | 0.05 | 33% | 10 Aug → | |
| inferno | 13–9 | 0.05 | 32% | 10 Aug → | |
| vertigo | 13–10 | 0.01 | 28% | 10 Aug → | |
| vertigo | 13–10 | 0.00 | 31% | 10 Aug → | |
| mirage | 16–14 | 0.06 | 39% | 10 Aug → | |
| mirage | 7–13 | -0.00 | 16% | 8 Aug → | |
| dust2 | 13–9 | 0.07 | 22% | 8 Aug → | |
| mirage | 11–13 | -0.00 | 19% | 8 Aug → | |
| vertigo | 10–13 | -0.09 | 13% | 8 Aug → | |
| dust2 | 16–19 | 0.04 | 23% | 8 Aug → | |
| mirage | 13–6 | 0.01 | 31% | 7 Aug → | |
| dust2 | 14–16 | 0.02 | 45% | 7 Aug → | |
| dust2 | 13–3 | 0.04 | 26% | 7 Aug → | |
| inferno | 13–5 | 0.04 | 19% | 7 Aug → | |
| inferno | 11–13 | -0.04 | 18% | 6 Aug → | |
| mirage | 19–16 | 0.09 | 31% | 6 Aug → | |
| dust2 | 13–8 | 0.10 | 17% | 6 Aug → | |
| mirage | 8–13 | 0.06 | 38% | 6 Aug → | |
| anubis | 8–13 | 0.02 | 28% | 5 Aug → | |
| dust2 | 13–8 | 0.02 | 27% | 5 Aug → | |
| mirage | 10–13 | 0.03 | 47% | 4 Aug → | |
| cache | 6–13 | -0.02 | 38% | 4 Aug → | |
| inferno | 1–13 | -0.10 | 9% | 4 Aug → | |
| mirage | 0–5 | -0.08 | 0% | 4 Aug → | |
| inferno | 6–13 | -0.14 | 15% | 4 Aug → | |
| mirage | 1–13 | -0.11 | 8% | 4 Aug → | |
| mirage | 8–13 | 0.05 | 34% | 3 Aug → | |
| anubis | 16–12 | 0.10 | 25% | 3 Aug → | |
| anubis | 13–1 | 0.12 | 30% | 3 Aug → | |
| dust2 | 8–13 | 0.04 | 45% | 3 Aug → | |
| ancient | 3–13 | -0.03 | 33% | 3 Aug → | |
| anubis | 13–7 | 0.07 | 29% | 2 Aug → | |
| dust2 | 13–11 | 0.04 | 18% | 2 Aug → | |
| mirage | 7–13 | 0.09 | 52% | 2 Aug → | |
| cache | 13–4 | 0.02 | 20% | 2 Aug → | |
| inferno | 13–7 | 0.11 | 24% | 31 Jul → | |
| mirage | 11–13 | 0.02 | 33% | 31 Jul → | |
| ancient | 16–12 | 0.14 | 20% | 31 Jul → | |
| mirage | 13–10 | 0.05 | 28% | 30 Jul → | |
| anubis | 13–10 | 0.06 | 24% | 30 Jul → | |
| anubis | 13–6 | 0.09 | 15% | 30 Jul → | |
| dust2 | 8–13 | 0.02 | 29% | 30 Jul → | |
| vertigo | 13–1 | 0.02 | 17% | 30 Jul → | |
| vertigo | 13–5 | -0.07 | 2% | 30 Jul → | |
| vertigo | 7–13 | 0.05 | 12% | 30 Jul → | |
| ancient | 13–11 | 0.08 | 33% | 29 Jul → | |
| dust2 | 5–13 | -0.09 | 5% | 29 Jul → | |
| mirage | 9–13 | 0.08 | 24% | 29 Jul → | |
| vertigo | 6–13 | 0.03 | 18% | 29 Jul → | |
| inferno | 13–10 | -0.03 | 15% | 26 Jul → | |
| cache | 13–10 | -0.08 | 23% | 26 Jul → | |
| dust2 | 3–13 | -0.06 | 50% | 25 Jul → | |
| ancient | 13–8 | -0.00 | 27% | 25 Jul → | |
| mirage | 16–12 | 0.06 | 25% | 24 Jul → | |
| cache | 12–16 | 0.02 | 24% | 24 Jul → | |
| anubis | 13–7 | 0.10 | 30% | 24 Jul → | |
| anubis | 11–13 | -0.01 | 19% | 23 Jul → | |
| inferno | 13–9 | 0.09 | 37% | 23 Jul → | |
| mirage | 13–4 | 0.06 | 25% | 23 Jul → | |
| anubis | 13–8 | 0.08 | 21% | 23 Jul → | |
| inferno | 13–9 | 0.05 | 18% | 23 Jul → | |
| vertigo | 8–13 | 0.05 | 29% | 22 Jul → | |
| mirage | 13–6 | 0.12 | 38% | 22 Jul → | |
| inferno | 13–11 | 0.13 | 37% | 22 Jul → | |
| mirage | 13–9 | 0.04 | 22% | 22 Jul → | |
| anubis | 13–4 | 0.13 | 25% | 22 Jul → | |
| anubis | 13–7 | 0.03 | 21% | 22 Jul → | |
| mirage | 5–13 | 0.01 | 44% | 22 Jul → | |
| anubis | 10–13 | 0.02 | 16% | 22 Jul → | |
| inferno | 8–13 | -0.03 | 14% | 22 Jul → | |
| dust2 | 13–11 | 0.12 | 33% | 21 Jul → | |
| vertigo | 3–13 | -0.12 | 6% | 21 Jul → | |
| anubis | 11–13 | 0.12 | 33% | 21 Jul → | |
| inferno | 13–11 | 0.09 | 21% | 20 Jul → |
Match data via Leetify.