Shama — CS2 Stats
76561198047400319[U:1:87134591]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 38.9% | 48.1% | 9.1% short |
| Shot accuracy | 14.9% | 12.9% | above |
| Kill/death ratio | 1.08 | 1.08 | meets |
| Match win rate | 44.9% | 46.5% | 1.6% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 Twistzz 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 641ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 5.7/10 (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 |
|---|---|---|---|---|---|
| A | 31 | 17–14 | 55% | -0.00 | |
| D | 12 | 3–9 | 25% | -0.00 | |
| B | 12 | 6–6 | 50% | -0.01 | |
| B | 11 | 5–6 | 45% | 0.02 | |
| C | 11 | 4–7 | 36% | -0.02 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| — | 4 | 3–1 | 75% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 40 | 48% | 0.93 | 16.1 |
| Inferno | 36 | 42% | 0.89 | 14.4 |
| Mirage | 33 | 55% | 0.90 | 15.2 |
| Anubis | 28 | 68% | 1.12 | 17.3 |
| Nuke | 20 | 35% | 0.87 | 14.2 |
| Overpass | 17 | 53% | 0.88 | 15.6 |
| Dust2 | 13 | 62% | 0.98 | 14.9 |
| Vertigo | 10 | 20% | 0.98 | 14.6 |
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 31.8754% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.03 | 23% | 22 Aug → | ||
| 13–10 | -0.04 | 19% | 22 Aug → | ||
| 2–13 | -0.03 | 18% | 16 Aug → | ||
| 10–13 | -0.03 | 37% | 16 Aug → | ||
| 3–13 | 0.02 | 28% | 16 Aug → | ||
| 11–13 | 0.02 | 25% | 16 Aug → | ||
| 8–13 | -0.02 | 32% | 15 Aug → | ||
| 16–14 | -0.03 | 10% | 15 Aug → | ||
| 14–16 | 0.02 | 33% | 15 Aug → | ||
| 9–13 | -0.03 | 12% | 4 Aug → | ||
| 6–13 | -0.05 | 9% | 1 Aug → | ||
| 11–13 | -0.03 | 19% | 1 Aug → | ||
| 16–13 | -0.03 | 17% | 31 Jul → | ||
| 13–5 | 0.03 | 13% | 31 Jul → | ||
| 13–4 | 0.02 | 5% | 31 Jul → | ||
| 6–13 | -0.05 | 14% | 26 Jul → | ||
| 11–13 | -0.03 | 25% | 26 Jul → | ||
| 13–9 | 0.08 | 23% | 26 Jul → | ||
| 13–10 | -0.04 | 8% | 25 Jul → | ||
| 14–16 | -0.03 | 20% | 25 Jul → | ||
| 13–5 | 0.07 | 16% | 25 Jul → | ||
| 13–10 | 0.08 | 23% | 19 Jul → | ||
| 16–12 | -0.02 | 18% | 18 Jul → | ||
| 2–13 | -0.06 | 18% | 18 Jul → | ||
| 13–10 | -0.04 | 21% | 11 Jul → | ||
| 13–10 | 0.02 | 16% | 11 Jul → | ||
| 10–13 | 0.00 | 27% | 11 Jul → | ||
| 5–13 | 0.03 | 8% | 23 Jun → | ||
| 4–13 | -0.04 | 17% | 14 Jun → | ||
| 12–12 | -0.05 | 22% | 14 Jun → | ||
| 11–13 | 0.02 | 23% | 13 Jun → | ||
| 13–11 | 0.07 | 16% | 13 Jun → | ||
| 12–12 | -0.01 | 29% | 17 May → | ||
| 11–13 | -0.09 | 16% | 17 May → | ||
| 13–3 | 0.02 | 11% | 17 May → | ||
| 13–9 | 0.07 | 20% | 16 May → | ||
| 13–7 | 0.03 | 11% | 16 May → | ||
| 12–12 | -0.02 | 16% | 16 May → | ||
| 13–3 | 0.08 | 30% | 16 May → | ||
| 7–13 | -0.03 | 21% | 4 May → | ||
| 13–5 | 0.01 | 21% | 3 May → | ||
| 13–2 | 0.07 | 15% | 3 May → | ||
| 6–13 | -0.02 | 19% | 3 May → | ||
| 2–13 | -0.03 | 13% | 3 May → | ||
| 13–4 | -0.02 | 21% | 2 May → | ||
| 8–13 | -0.02 | 17% | 2 May → | ||
| 12–12 | 0.05 | 28% | 2 May → | ||
| 13–1 | -0.02 | 20% | 2 May → | ||
| 13–6 | -0.01 | 23% | 2 May → | ||
| 12–12 | -0.00 | 15% | 2 May → | ||
| 13–3 | -0.05 | 18% | 2 May → | ||
| 9–13 | -0.06 | 14% | 2 May → | ||
| 13–4 | -0.05 | 12% | 2 May → | ||
| 12–12 | -0.00 | 26% | 30 Apr → | ||
| 13–9 | -0.03 | 23% | 30 Apr → | ||
| 9–13 | 0.01 | 19% | 30 Apr → | ||
| 9–13 | 0.04 | 16% | 30 Apr → | ||
| 1–13 | -0.01 | 32% | 30 Apr → | ||
| 13–11 | 0.03 | 26% | 30 Apr → | ||
| 13–7 | 0.01 | 34% | 30 Apr → | ||
| 7–13 | -0.09 | 22% | 26 Apr → | ||
| 6–13 | -0.01 | 12% | 26 Apr → | ||
| 9–13 | -0.01 | 14% | 26 Apr → | ||
| 13–7 | -0.04 | 29% | 25 Apr → | ||
| 10–13 | -0.01 | 28% | 19 Apr → | ||
| 13–10 | -0.01 | 13% | 19 Apr → | ||
| 10–13 | -0.01 | 14% | 18 Apr → | ||
| 7–13 | -0.00 | 23% | 18 Apr → | ||
| 19–16 | 0.02 | 22% | 18 Apr → | ||
| 11–13 | -0.04 | 14% | 17 Apr → | ||
| 10–13 | 0.03 | 12% | 17 Apr → | ||
| 12–12 | 0.08 | 20% | 17 Apr → | ||
| 13–0 | 0.08 | 22% | 16 Apr → | ||
| 13–7 | 0.03 | 15% | 16 Apr → | ||
| 13–5 | -0.01 | 13% | 10 Apr → | ||
| 16–13 | -0.05 | 22% | 6 Apr → | ||
| 11–13 | -0.05 | 13% | 5 Apr → | ||
| 13–9 | -0.01 | 10% | 5 Apr → | ||
| 14–16 | -0.01 | 14% | 3 Apr → | ||
| 10–13 | -0.04 | 12% | 3 Apr → | ||
| 13–6 | 0.06 | 35% | 2 Apr → | ||
| 11–13 | 0.02 | 14% | 1 Apr → | ||
| 13–9 | -0.02 | 20% | 1 Apr → | ||
| 11–13 | -0.02 | 19% | 1 Apr → | ||
| 13–10 | 0.07 | 13% | 1 Apr → | ||
| 13–6 | 0.09 | 29% | 1 Apr → | ||
| 13–5 | 0.08 | 20% | 1 Apr → | ||
| 4–13 | -0.08 | 11% | 1 Apr → | ||
| 13–6 | 0.03 | 2% | 1 Apr → | ||
| 13–7 | -0.02 | 14% | 31 Mar → | ||
| 12–16 | -0.04 | 14% | 31 Mar → | ||
| 13–9 | 0.02 | 14% | 31 Mar → | ||
| 16–13 | -0.02 | 14% | 28 Mar → | ||
| 13–3 | -0.04 | 54% | 28 Mar → | ||
| 13–5 | 0.04 | 14% | 28 Mar → | ||
| 15–15 | -0.03 | 0% | 27 Mar → | ||
| 13–7 | 0.03 | 22% | 27 Mar → | ||
| 9–13 | 0.03 | 23% | 27 Mar → | ||
| 4–13 | -0.05 | 33% | 27 Mar → | ||
| 9–7 | -0.08 | 18% | 27 Mar → |
Match data via Leetify.