Tundra~ @Anugamerah — CS2 Stats
76561198131165576[U:1:170899848]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerLimited utility dependence
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 90% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
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 55% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 623ms 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 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 |
|---|---|---|---|---|---|
| S | 33 | 25–8 | 76% | -0.01 | |
| S | 24 | 17–7 | 71% | -0.03 | |
| A | 22 | 14–8 | 64% | -0.02 | |
| S | 9 | 7–2 | 78% | 0.00 | |
| S | 7 | 6–1 | 86% | -0.03 | |
| — | 3 | 3–0 | 100% | 0.05 | |
| — | 2 | 1–1 | 50% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (64% over 22). Start with the 6 essential Inferno 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 76 | 58% | 1.20 | 15.7 |
| Inferno | 31 | 58% | 1.00 | 16.2 |
| Ancient | 29 | 48% | 0.93 | 15.1 |
| Dust2 | 22 | 64% | 1.29 | 17.7 |
| Anubis | 18 | 61% | 1.19 | 18.4 |
| Nuke | 7 | 57% | 0.87 | 16.9 |
| Vertigo | 2 | 50% | 0.56 | 10.0 |
| Cache | 1 | 100% | 1.06 | 19.0 |
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 25.4468% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.02 | 22% | 28 Aug → | ||
| 13–10 | -0.05 | 13% | 21 Aug → | ||
| 13–6 | 0.06 | 16% | 20 Aug → | ||
| 13–6 | -0.05 | 20% | 14 Aug → | ||
| 10–13 | -0.08 | 15% | 14 Aug → | ||
| 13–6 | 0.02 | 41% | 13 Aug → | ||
| 13–3 | -0.02 | 11% | 13 Aug → | ||
| 13–8 | -0.06 | 17% | 13 Aug → | ||
| 13–4 | 0.01 | 52% | 13 Aug → | ||
| 13–10 | -0.05 | 22% | 13 Aug → | ||
| 13–5 | 0.04 | 36% | 13 Aug → | ||
| 13–4 | 0.03 | 21% | 13 Aug → | ||
| 1–13 | -0.06 | 24% | 12 Aug → | ||
| 13–1 | -0.03 | 19% | 12 Aug → | ||
| 13–6 | -0.07 | 27% | 10 Aug → | ||
| 13–0 | 0.00 | 0% | 10 Aug → | ||
| 13–4 | -0.03 | 13% | 10 Aug → | ||
| 16–14 | 0.01 | 24% | 6 Aug → | ||
| 13–9 | 0.02 | 22% | 6 Aug → | ||
| 13–2 | -0.01 | 100% | 1 Aug → | ||
| 5–13 | -0.09 | 0% | 1 Aug → | ||
| 9–13 | -0.03 | 29% | 1 Aug → | ||
| 13–2 | 0.05 | 17% | 1 Aug → | ||
| 16–14 | -0.01 | 20% | 31 Jul → | ||
| 10–13 | -0.03 | 19% | 31 Jul → | ||
| 13–9 | 0.04 | 22% | 30 Jul → | ||
| 13–9 | -0.00 | 34% | 30 Jul → | ||
| 3–13 | -0.03 | 26% | 30 Jul → | ||
| 13–5 | -0.02 | 26% | 30 Jul → | ||
| 13–9 | -0.05 | 19% | 29 Jul → | ||
| 13–9 | -0.03 | 35% | 29 Jul → | ||
| 5–13 | -0.05 | 29% | 29 Jul → | ||
| 11–13 | 0.02 | 29% | 28 Jul → | ||
| 14–16 | -0.05 | 20% | 27 Jul → | ||
| 13–3 | -0.07 | 18% | 27 Jul → | ||
| 13–10 | -0.04 | 20% | 26 Jul → | ||
| 13–7 | -0.14 | 15% | 26 Jul → | ||
| 13–5 | -0.04 | 23% | 26 Jul → | ||
| 0–13 | -0.07 | 0% | 26 Jul → | ||
| 13–9 | -0.06 | 26% | 25 Jul → | ||
| 4–13 | 0.07 | 29% | 25 Jul → | ||
| 13–6 | 0.00 | 30% | 25 Jul → | ||
| 13–11 | 0.06 | 16% | 25 Jul → | ||
| 13–10 | -0.06 | 16% | 24 Jul → | ||
| 13–8 | -0.07 | 11% | 24 Jul → | ||
| 0–13 | -0.06 | 50% | 24 Jul → | ||
| 0–13 | -0.07 | 13% | 18 Jul → | ||
| 13–7 | -0.04 | 19% | 18 Jul → | ||
| 8–13 | -0.06 | 24% | 18 Jul → | ||
| 13–5 | -0.01 | 16% | 18 Jul → | ||
| 10–13 | -0.09 | 30% | 18 Jul → | ||
| 4–13 | -0.07 | 18% | 18 Jul → | ||
| 0–2 | -0.03 | 0% | 18 Jul → | ||
| 13–0 | 0.01 | 14% | 9 Jul → | ||
| 13–6 | 0.06 | 23% | 9 Jul → | ||
| 13–8 | 0.04 | 28% | 3 Jul → | ||
| 13–4 | -0.03 | 17% | 2 Jul → | ||
| 2–13 | -0.08 | 16% | 2 Jul → | ||
| 11–13 | 0.03 | 27% | 27 Jun → | ||
| 13–11 | 0.02 | 27% | 27 Jun → | ||
| 13–6 | -0.01 | 31% | 26 Jun → | ||
| 13–4 | -0.02 | 25% | 26 Jun → | ||
| 16–14 | -0.05 | 21% | 26 Jun → | ||
| 13–3 | 0.05 | 31% | 20 Jun → | ||
| 13–0 | 0.06 | 13% | 20 Jun → | ||
| 13–3 | -0.09 | 29% | 20 Jun → | ||
| 13–8 | -0.03 | 28% | 20 Jun → | ||
| 4–5 | -0.04 | 83% | 14 Jun → | ||
| 13–2 | 0.04 | 17% | 14 Jun → | ||
| 13–4 | 0.00 | 24% | 14 Jun → | ||
| 13–0 | 0.00 | 23% | 13 Jun → | ||
| 7–13 | -0.06 | 12% | 12 Jun → | ||
| 6–13 | -0.06 | 16% | 12 Jun → | ||
| 3–13 | 0.03 | 25% | 6 Jun → | ||
| 11–13 | -0.06 | 21% | 3 Jun → | ||
| 0–13 | -0.07 | 0% | 3 Jun → | ||
| 13–4 | 0.01 | 13% | 3 Jun → | ||
| 13–7 | 0.02 | 20% | 3 Jun → | ||
| 0–13 | -0.06 | 0% | 3 Jun → | ||
| 13–3 | 0.11 | 31% | 3 Jun → | ||
| 13–5 | -0.02 | 34% | 2 Jun → | ||
| 13–2 | 0.01 | 28% | 2 Jun → | ||
| 13–2 | -0.02 | 14% | 2 Jun → | ||
| 13–0 | -0.02 | 28% | 2 Jun → | ||
| 13–3 | -0.03 | 12% | 30 May → | ||
| 13–4 | 0.07 | 32% | 30 May → | ||
| 13–6 | 0.08 | 15% | 30 May → | ||
| 13–4 | 0.07 | 21% | 30 May → | ||
| 13–2 | 0.07 | 13% | 30 May → | ||
| 13–7 | 0.11 | 14% | 30 May → | ||
| 13–5 | 0.02 | 29% | 30 May → | ||
| 3–13 | -0.09 | 35% | 30 May → | ||
| 13–7 | -0.02 | 12% | 24 May → | ||
| 13–2 | -0.07 | 58% | 24 May → | ||
| 13–5 | -0.05 | 33% | 23 May → | ||
| 13–8 | -0.03 | 38% | 23 May → | ||
| 13–1 | 0.09 | 29% | 23 May → | ||
| 13–4 | -0.00 | 35% | 23 May → | ||
| 13–6 | -0.00 | 20% | 21 May → | ||
| 13–9 | -0.05 | 22% | 21 May → |
Match data via Leetify.