Tusonov — CS2 Stats
76561198058672388[U:1:98406660]
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 | Level 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 64.3% | 49.0% | 52.0% | above |
| Shot accuracy | 0.1% | 13.1% | 13.7% | 13.6% short |
| Kill/death ratio | 1.45 | 1.08 | 1.08 | above |
| Match win rate | 34.5% | 46.9% | 48.8% | 14.3% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 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: +20pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 NiKo 88% 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
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 44% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 595ms 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 5.0/10 (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 | 22 | 11–11 | 50% | -0.02 | |
| D | 16 | 5–11 | 31% | -0.03 | |
| C | 14 | 5–9 | 36% | -0.02 | |
| B | 12 | 6–6 | 50% | -0.01 | |
| C | 10 | 4–6 | 40% | 0.02 | |
| D | 6 | 2–4 | 33% | -0.04 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| — | 4 | 0–4 | 0% | -0.07 | |
| office | — | 4 | 1–3 | 25% | -0.04 |
| — | 2 | 1–1 | 50% | -0.02 | |
| poseidon | — | 2 | 1–1 | 50% | 0.04 |
| boulder | — | 1 | 1–0 | 100% | -0.01 |
| — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (31% over 16). 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 179 | 61% | 0.84 | 12.9 |
| Ancient | 139 | 55% | 0.85 | 13.4 |
| Nuke | 107 | 52% | 0.90 | 13.8 |
| Cache | 75 | 63% | 0.83 | 13.0 |
| Mirage | 63 | 37% | 0.73 | 12.0 |
| Anubis | 52 | 60% | 0.92 | 14.6 |
| Overpass | 38 | 39% | 0.78 | 12.7 |
| Dust2 | 18 | 39% | 0.64 | 11.1 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.5001% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4555 — below the 0.5 mark we flag
- 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 27.6911% — 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.
31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.03 | 20% | 25 Aug → | ||
| 13–2 | 0.00 | 33% | 25 Aug → | ||
| boulder | 13–8 | -0.01 | 21% | 23 Aug → | |
| 6–13 | 0.02 | 8% | 23 Aug → | ||
| 13–5 | 0.06 | 19% | 23 Aug → | ||
| 13–7 | -0.04 | 35% | 23 Aug → | ||
| 6–13 | -0.07 | 19% | 23 Aug → | ||
| 5–13 | -0.06 | 17% | 13 Aug → | ||
| 13–3 | -0.00 | 14% | 13 Aug → | ||
| 9–13 | 0.01 | 20% | 13 Aug → | ||
| 13–3 | 0.02 | 22% | 13 Aug → | ||
| 13–10 | 0.07 | 14% | 13 Aug → | ||
| 9–13 | 0.09 | 24% | 13 Aug → | ||
| 9–0 | -0.08 | 17% | 13 Aug → | ||
| 4–13 | -0.03 | 8% | 10 Jul → | ||
| 11–13 | -0.02 | 13% | 10 Jul → | ||
| 8–13 | 0.04 | 7% | 10 Jul → | ||
| 4–11 | 0.07 | 17% | 10 Jul → | ||
| 13–5 | 0.13 | 17% | 10 Jul → | ||
| 3–13 | -0.05 | 14% | 9 Jul → | ||
| 13–2 | -0.05 | 3% | 26 Jun → | ||
| 11–13 | 0.04 | 6% | 26 Jun → | ||
| 13–5 | 0.04 | 13% | 26 Jun → | ||
| 13–8 | -0.01 | 22% | 26 Jun → | ||
| 13–8 | -0.06 | 7% | 12 Jun → | ||
| 13–7 | -0.05 | 4% | 10 Jun → | ||
| 10–13 | -0.01 | 14% | 9 Jun → | ||
| 4–13 | -0.04 | 5% | 8 Jun → | ||
| 9–13 | -0.02 | 3% | 5 Jun → | ||
| 9–13 | -0.05 | 6% | 5 Jun → | ||
| 17–19 | -0.02 | 10% | 4 Jun → | ||
| 12–12 | 0.05 | 20% | 4 Jun → | ||
| 11–13 | -0.08 | 12% | 4 Jun → | ||
| 0–5 | -0.09 | 14% | 4 Jun → | ||
| 14–16 | 0.03 | 10% | 3 Jun → | ||
| 11–13 | -0.04 | 14% | 3 Jun → | ||
| 9–13 | -0.02 | 10% | 2 Jun → | ||
| 13–11 | 0.04 | 7% | 2 Jun → | ||
| 11–13 | -0.09 | 19% | 2 Jun → | ||
| 8–13 | -0.02 | 6% | 2 Jun → | ||
| 3–13 | -0.00 | 24% | 2 Jun → | ||
| 13–5 | 0.09 | 12% | 2 Jun → | ||
| 13–7 | -0.05 | 15% | 1 Jun → | ||
| 13–6 | -0.04 | 9% | 1 Jun → | ||
| 13–11 | -0.00 | 13% | 28 May → | ||
| 10–13 | -0.06 | 9% | 27 May → | ||
| 13–2 | 0.09 | 20% | 23 May → | ||
| 2–5 | -0.03 | 20% | 23 May → | ||
| 8–13 | 0.01 | 13% | 23 May → | ||
| 5–13 | -0.05 | 8% | 23 May → | ||
| 13–7 | -0.00 | 6% | 21 May → | ||
| office | 6–13 | -0.04 | 10% | 21 May → | |
| office | 8–13 | -0.11 | 25% | 21 May → | |
| 16–13 | -0.04 | 7% | 19 May → | ||
| 7–13 | -0.03 | 7% | 19 May → | ||
| 14–16 | -0.04 | 17% | 19 May → | ||
| 13–11 | 0.02 | 19% | 18 May → | ||
| 2–13 | -0.04 | 17% | 15 May → | ||
| 13–9 | 0.04 | 19% | 15 May → | ||
| 13–6 | 0.01 | 9% | 14 May → | ||
| poseidon | 9–3 | 0.08 | 20% | 13 May → | |
| 11–13 | -0.06 | 5% | 13 May → | ||
| 11–13 | 0.01 | 23% | 13 May → | ||
| 5–13 | -0.07 | 21% | 13 May → | ||
| office | 13–2 | 0.06 | 0% | 13 May → | |
| office | 12–12 | -0.08 | 26% | 13 May → | |
| 7–13 | -0.08 | 10% | 13 May → | ||
| 13–5 | -0.00 | 6% | 12 May → | ||
| 2–13 | -0.10 | 11% | 12 May → | ||
| 2–13 | -0.06 | 15% | 9 May → | ||
| 8–13 | -0.04 | 13% | 8 May → | ||
| 10–13 | -0.03 | 7% | 6 May → | ||
| 6–13 | -0.10 | 8% | 6 May → | ||
| 13–4 | 0.02 | 4% | 6 May → | ||
| 5–13 | -0.04 | 29% | 5 May → | ||
| 13–9 | -0.01 | 15% | 5 May → | ||
| 13–4 | -0.05 | 27% | 4 May → | ||
| 5–13 | -0.06 | 15% | 30 Apr → | ||
| 3–13 | -0.05 | 21% | 30 Apr → | ||
| 13–2 | 0.02 | 9% | 29 Apr → | ||
| 13–11 | -0.02 | 10% | 29 Apr → | ||
| 13–6 | 0.03 | 14% | 28 Apr → | ||
| 4–13 | -0.03 | 13% | 28 Apr → | ||
| 6–13 | -0.05 | 15% | 28 Apr → | ||
| 10–13 | 0.03 | 14% | 28 Apr → | ||
| 13–11 | -0.04 | 22% | 25 Apr → | ||
| 8–13 | -0.06 | 12% | 25 Apr → | ||
| 14–16 | -0.07 | 12% | 24 Apr → | ||
| 13–10 | -0.05 | 10% | 24 Apr → | ||
| 13–9 | -0.08 | 5% | 23 Apr → | ||
| 3–13 | 0.02 | 13% | 23 Apr → | ||
| 6–13 | -0.02 | 19% | 23 Apr → | ||
| 11–13 | -0.06 | 6% | 23 Apr → | ||
| 8–0 | -0.05 | 13% | 23 Apr → | ||
| 11–13 | 0.02 | 26% | 21 Apr → | ||
| 10–13 | -0.01 | 12% | 21 Apr → | ||
| 16–14 | 0.02 | 5% | 21 Apr → | ||
| 0–9 | -0.17 | 23% | 21 Apr → | ||
| poseidon | 4–9 | -0.01 | 17% | 21 Apr → | |
| 11–13 | -0.07 | 10% | 20 Apr → |
Match data via Leetify.
Recent teammates
- 29Player 41252915 recent matches together
- 19Player 78171929 recent matches together
- 01Player 80380128 recent matches together
- 77Player 50477722 recent matches together
- 55Player 61715514 recent matches together
- 12Player 34841210 recent matches together
- 36Player 03213650 recent matches together
- 40Player 52114011 recent matches together