3p[t] — CS2 Stats
CA76561197961364508[U:1:1098780]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 26,963
- Next: Gold band at 30,000 — 3,037 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerHigh utility contribution
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 93% playstyle similarity
Most alike: positioning profile, 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
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
Utility. Utility score of 77 — grenade impact well above the norm.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 11.6° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 55% on CT to 32% 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 7.6/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 29 | 18–11 | 62% | 0.03 | |
| C | 28 | 12–16 | 43% | 0.05 | |
| B | 17 | 9–8 | 53% | 0.02 | |
| B | 15 | 7–8 | 47% | 0.04 | |
| — | 4 | 4–0 | 100% | 0.04 | |
| — | 4 | 4–0 | 100% | 0.02 | |
| — | 3 | 3–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (43% over 28). 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 | 16 | 88% | 1.61 | 15.8 |
| Anubis | 10 | 40% | 1.05 | 16.5 |
| Dust2 | 8 | 88% | 1.24 | 16.8 |
| Ancient | 7 | 43% | 1.14 | 14.4 |
| Nuke | 4 | 100% | 1.31 | 14.5 |
| Train | 3 | 67% | 0.79 | 15.0 |
| Inferno | 2 | 100% | 1.20 | 16.0 |
| Vertigo | 1 | 100% | 1.08 | 14.0 |
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 32.3584% — 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.
43% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | 0.02 | 9% | 29 Aug → | ||
| 13–4 | 0.09 | 38% | 29 Aug → | ||
| 13–6 | 0.04 | 37% | 29 Aug → | ||
| 13–8 | 0.04 | 18% | 29 Aug → | ||
| 13–5 | -0.03 | 11% | 29 Aug → | ||
| 6–13 | -0.04 | 12% | 29 Aug → | ||
| 13–10 | 0.05 | 23% | 29 Aug → | ||
| 13–6 | 0.06 | 15% | 29 Aug → | ||
| 13–9 | 0.02 | 25% | 29 Aug → | ||
| 13–4 | 0.05 | 18% | 28 Aug → | ||
| 13–5 | -0.02 | 10% | 28 Aug → | ||
| 13–0 | 0.22 | 20% | 28 Aug → | ||
| 11–13 | 0.04 | 23% | 28 Aug → | ||
| 13–10 | 0.05 | 8% | 27 Aug → | ||
| 13–9 | 0.02 | 24% | 27 Aug → | ||
| 10–13 | 0.06 | 21% | 27 Aug → | ||
| 13–7 | 0.04 | 11% | 27 Aug → | ||
| 13–7 | 0.08 | 31% | 23 Aug → | ||
| 6–13 | -0.01 | 32% | 23 Aug → | ||
| 12–12 | -0.03 | 23% | 23 Aug → | ||
| 13–7 | -0.01 | 20% | 23 Aug → | ||
| 13–7 | 0.10 | 18% | 23 Aug → | ||
| 12–12 | -0.01 | 26% | 23 Aug → | ||
| 9–13 | 0.03 | 32% | 23 Aug → | ||
| 13–7 | 0.08 | 20% | 22 Aug → | ||
| 11–13 | 0.04 | 26% | 22 Aug → | ||
| 8–13 | 0.03 | 11% | 22 Aug → | ||
| 10–13 | 0.13 | 33% | 21 Aug → | ||
| 13–7 | 0.07 | 26% | 21 Aug → | ||
| 13–6 | 0.07 | 19% | 21 Aug → | ||
| 13–6 | 0.01 | 16% | 21 Aug → | ||
| 13–7 | 0.02 | 24% | 21 Aug → | ||
| 4–13 | 0.05 | 24% | 21 Aug → | ||
| 7–0 | 0.12 | 10% | 21 Aug → | ||
| 9–13 | 0.09 | 26% | 21 Aug → | ||
| 8–13 | 0.05 | 27% | 21 Aug → | ||
| 13–8 | 0.02 | 9% | 19 Aug → | ||
| 13–10 | 0.08 | 13% | 18 Aug → | ||
| 13–4 | 0.02 | 41% | 18 Aug → | ||
| 7–13 | 0.03 | 13% | 18 Aug → | ||
| 13–2 | 0.15 | 29% | 17 Aug → | ||
| 4–13 | -0.04 | 29% | 17 Aug → | ||
| 1–4 | 0.10 | 35% | 17 Aug → | ||
| 9–13 | 0.02 | 30% | 17 Aug → | ||
| 3–13 | -0.04 | 6% | 17 Aug → | ||
| 13–3 | 0.02 | 25% | 17 Aug → | ||
| 3–0 | 0.00 | 0% | 17 Aug → | ||
| 13–8 | 0.08 | 21% | 16 Aug → | ||
| 10–13 | -0.00 | 12% | 16 Aug → | ||
| 13–2 | 0.03 | 19% | 16 Aug → | ||
| 13–5 | -0.05 | 14% | 16 Aug → | ||
| 6–13 | 0.02 | 35% | 16 Aug → | ||
| 13–5 | 0.00 | 21% | 16 Aug → | ||
| 13–7 | 0.08 | 17% | 16 Aug → | ||
| 8–13 | 0.03 | 19% | 16 Aug → | ||
| 13–11 | 0.09 | 18% | 16 Aug → | ||
| 12–12 | 0.02 | 10% | 16 Aug → | ||
| 6–13 | 0.01 | 25% | 16 Aug → | ||
| 13–5 | 0.01 | 26% | 16 Aug → | ||
| 12–12 | 0.02 | 19% | 16 Aug → | ||
| 13–11 | 0.06 | 16% | 16 Aug → | ||
| 12–12 | -0.01 | 13% | 16 Aug → | ||
| 4–13 | 0.02 | 40% | 15 Aug → | ||
| 3–13 | 0.03 | 7% | 15 Aug → | ||
| 13–3 | 0.07 | 16% | 15 Aug → | ||
| 13–3 | -0.03 | 9% | 15 Aug → | ||
| 13–10 | 0.03 | 26% | 15 Aug → | ||
| 9–13 | -0.01 | 11% | 15 Aug → | ||
| 13–10 | 0.06 | 17% | 15 Aug → | ||
| 12–12 | 0.05 | 18% | 14 Aug → | ||
| 7–13 | 0.04 | 12% | 14 Aug → | ||
| 13–11 | 0.14 | 26% | 14 Aug → | ||
| 13–9 | 0.05 | 20% | 13 Aug → | ||
| 13–6 | 0.02 | 24% | 13 Aug → | ||
| 13–4 | -0.04 | 10% | 13 Aug → | ||
| 10–13 | 0.07 | 33% | 11 Aug → | ||
| 13–11 | 0.05 | 16% | 10 Aug → | ||
| 13–8 | 0.03 | 20% | 8 Aug → | ||
| 10–13 | -0.03 | 22% | 8 Aug → | ||
| 13–9 | 0.10 | 21% | 8 Aug → | ||
| 12–12 | 0.02 | 55% | 8 Aug → | ||
| 13–10 | -0.01 | 31% | 8 Aug → | ||
| 3–2 | 0.00 | 25% | 8 Aug → | ||
| 13–3 | 0.09 | 37% | 8 Aug → | ||
| 9–13 | 0.02 | 24% | 8 Aug → | ||
| 3–9 | 0.08 | 9% | 8 Aug → | ||
| 12–12 | -0.02 | 16% | 8 Aug → | ||
| 10–13 | -0.04 | 13% | 3 Aug → | ||
| 3–13 | -0.02 | 17% | 3 Aug → | ||
| 13–2 | 0.03 | 9% | 3 Aug → | ||
| 12–12 | 0.06 | 16% | 3 Aug → | ||
| 12–12 | -0.01 | 16% | 3 Aug → | ||
| 13–10 | 0.02 | 20% | 2 Aug → | ||
| 12–12 | 0.05 | 17% | 2 Aug → | ||
| 13–6 | 0.03 | 10% | 2 Aug → | ||
| 13–7 | 0.00 | 18% | 2 Aug → | ||
| 13–5 | 0.05 | 17% | 2 Aug → | ||
| 10–13 | -0.06 | 12% | 2 Aug → | ||
| 13–8 | 0.05 | 13% | 2 Aug → | ||
| 9–13 | -0.02 | 14% | 2 Aug → |
Match data via Leetify.