Miss T — CS2 Stats
76561199164360351[U:1:1204094623]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
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 NiKo 87% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; lower aim 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
Areas to improve
T-side openings. Opening success drops from 44% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 611ms 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 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| B | 30 | 14–16 | 47% | -0.01 | |
| A | 27 | 16–11 | 59% | -0.01 | |
| C | 15 | 6–9 | 40% | -0.02 | |
| D | 8 | 2–6 | 25% | -0.03 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| B | 6 | 3–3 | 50% | 0.00 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.19 | |
| shelter | — | 1 | 1–0 | 100% | -0.04 |
| — | 1 | 1–0 | 100% | -0.07 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 9 | 67% | 1.19 | 13.3 |
| Mirage | 8 | 62% | 1.14 | 12.1 |
| Nuke | 7 | 57% | 0.64 | 9.0 |
| Inferno | 5 | 0% | 0.58 | 10.8 |
| Ancient | 3 | 0% | 0.52 | 8.0 |
| Overpass | 1 | 0% | 0.69 | 11.0 |
| Train | 1 | 100% | 0.73 | 11.0 |
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 28.5733% — 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 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.10 | 0% | 21 Aug → | ||
| 13–10 | -0.02 | 9% | 20 Aug → | ||
| 12–12 | -0.02 | 23% | 20 Aug → | ||
| 9–13 | -0.05 | 5% | 20 Aug → | ||
| 13–9 | -0.07 | 8% | 20 Aug → | ||
| 4–13 | -0.01 | 21% | 19 Aug → | ||
| 13–11 | -0.01 | 25% | 19 Aug → | ||
| 13–0 | 0.04 | 7% | 19 Aug → | ||
| 4–13 | -0.04 | 11% | 18 Aug → | ||
| 13–5 | 0.19 | 20% | 18 Aug → | ||
| 12–12 | 0.01 | 12% | 18 Aug → | ||
| 11–13 | -0.06 | 16% | 16 Aug → | ||
| 10–13 | -0.06 | 54% | 14 Aug → | ||
| 13–7 | -0.05 | 10% | 11 Aug → | ||
| 8–13 | -0.01 | 17% | 11 Aug → | ||
| shelter | 13–10 | -0.04 | 13% | 9 Aug → | |
| 13–7 | 0.00 | 30% | 9 Aug → | ||
| 5–13 | -0.01 | 8% | 9 Aug → | ||
| 13–6 | 0.03 | 23% | 9 Aug → | ||
| 9–13 | 0.05 | 15% | 9 Aug → | ||
| 13–8 | -0.04 | 7% | 9 Aug → | ||
| 13–0 | 0.05 | 15% | 9 Aug → | ||
| 7–13 | 0.02 | 16% | 8 Aug → | ||
| 13–9 | 0.06 | 21% | 8 Aug → | ||
| 11–13 | -0.04 | 13% | 8 Aug → | ||
| 2–8 | -0.05 | 20% | 5 Aug → | ||
| 3–13 | -0.07 | 37% | 5 Aug → | ||
| 13–7 | -0.01 | 21% | 5 Aug → | ||
| 13–4 | -0.06 | 15% | 3 Aug → | ||
| 13–6 | -0.00 | 13% | 3 Aug → | ||
| 13–5 | 0.03 | 24% | 3 Aug → | ||
| 13–6 | -0.03 | 7% | 2 Aug → | ||
| 13–4 | 0.08 | 11% | 2 Aug → | ||
| 13–5 | -0.05 | 7% | 2 Aug → | ||
| 13–6 | 0.01 | 15% | 2 Aug → | ||
| 13–9 | 0.03 | 18% | 2 Aug → | ||
| 8–0 | -0.05 | 0% | 2 Aug → | ||
| 11–13 | -0.04 | 17% | 2 Aug → | ||
| 8–13 | -0.05 | 18% | 2 Aug → | ||
| 13–5 | 0.00 | 5% | 2 Aug → | ||
| 9–13 | -0.04 | 18% | 31 Jul → | ||
| 9–13 | -0.01 | 9% | 31 Jul → | ||
| 12–12 | -0.01 | 19% | 31 Jul → | ||
| 6–0 | 0.11 | 18% | 31 Jul → | ||
| 13–7 | -0.03 | 10% | 31 Jul → | ||
| 9–13 | 0.04 | 14% | 30 Jul → | ||
| 5–13 | -0.01 | 16% | 30 Jul → | ||
| 9–13 | 0.02 | 5% | 28 Jul → | ||
| 13–11 | -0.04 | 8% | 28 Jul → | ||
| 9–13 | 0.04 | 15% | 28 Jul → | ||
| 10–13 | -0.07 | 9% | 28 Jul → | ||
| 13–3 | 0.05 | 8% | 28 Jul → | ||
| 11–13 | 0.01 | 18% | 27 Jul → | ||
| 10–13 | -0.03 | 18% | 25 Jul → | ||
| 13–8 | -0.01 | 21% | 25 Jul → | ||
| 0–13 | -0.05 | 7% | 19 Jul → | ||
| 13–4 | -0.03 | 13% | 17 Jul → | ||
| 5–13 | -0.05 | 20% | 10 Jul → | ||
| 2–13 | 0.08 | 10% | 10 Jul → | ||
| 5–13 | -0.04 | 6% | 8 Jul → | ||
| 13–7 | 0.05 | 15% | 8 Jul → | ||
| 7–13 | -0.09 | 21% | 7 Jul → | ||
| 7–0 | -0.03 | 25% | 7 Jul → | ||
| 13–8 | 0.02 | 24% | 7 Jul → | ||
| 10–13 | 0.00 | 23% | 6 Jul → | ||
| 10–13 | -0.06 | 10% | 4 Jul → | ||
| 0–6 | 0.01 | 27% | 2 Jul → | ||
| 13–6 | 0.05 | 17% | 1 Jul → | ||
| 13–3 | -0.04 | 45% | 1 Jul → | ||
| 13–5 | 0.01 | 17% | 26 Jun → | ||
| 13–8 | 0.05 | 23% | 25 Jun → | ||
| 4–13 | -0.03 | 6% | 20 Jun → | ||
| 13–4 | 0.01 | 28% | 20 Jun → | ||
| 13–9 | -0.03 | 10% | 20 Jun → | ||
| 13–4 | -0.00 | 10% | 18 Jun → | ||
| 13–6 | 0.03 | 9% | 18 Jun → | ||
| 13–4 | 0.02 | 33% | 18 Jun → | ||
| 12–12 | -0.06 | 13% | 17 Jun → | ||
| 5–13 | 0.00 | 14% | 15 Jun → | ||
| 6–13 | -0.05 | 22% | 14 Jun → | ||
| 13–11 | -0.03 | 9% | 13 Jun → | ||
| 13–5 | -0.01 | 25% | 11 Jun → | ||
| 4–13 | -0.01 | 22% | 11 Jun → | ||
| 3–11 | -0.03 | 10% | 11 Jun → | ||
| 13–11 | -0.02 | 21% | 11 Jun → | ||
| 9–13 | -0.05 | 15% | 11 Jun → | ||
| 8–13 | -0.06 | 14% | 2 Jun → | ||
| 7–13 | 0.01 | 21% | 28 May → | ||
| 7–13 | -0.04 | 18% | 28 May → | ||
| 13–11 | -0.07 | 13% | 25 May → | ||
| 13–9 | -0.03 | 13% | 23 May → | ||
| 13–6 | -0.05 | 20% | 23 May → | ||
| 6–13 | -0.00 | 17% | 22 May → | ||
| 10–13 | 0.09 | 22% | 22 May → | ||
| 3–13 | -0.10 | 5% | 21 May → | ||
| 8–13 | 0.03 | 14% | 21 May → | ||
| 10–13 | 0.03 | 24% | 21 May → | ||
| 13–6 | -0.07 | 13% | 21 May → | ||
| 12–12 | -0.01 | 13% | 21 May → | ||
| 12–12 | -0.03 | 30% | 20 May → |
Match data via Leetify.