aito xd töntar — CS2 Stats
76561198874481922[U:1:914216194]✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 50.8% | 47.0% | 48.5% | above |
| Shot accuracy | 22.9% | 12.7% | 13.3% | above |
| Kill/death ratio | 1.94 | 1.07 | 1.07 | above |
| Match win rate | 49.5% | 46.4% | 47.0% | above |
Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 NiKo 88% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; 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
Reaction time. 617ms 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 5.9/10 (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 |
|---|---|---|---|---|---|
 mirage | C | 41 | 17–24 | 41% | 0.01 |
 cache | B | 15 | 8–7 | 53% | 0.01 |
 dust2 | C | 14 | 6–8 | 43% | -0.01 |
 inferno | S | 10 | 8–2 | 80% | 0.02 |
 nuke | C | 9 | 4–5 | 44% | -0.02 |
 anubis | A | 7 | 4–3 | 57% | 0.01 |
 train | — | 3 | 1–2 | 33% | -0.01 |
 ancient | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (41% over 41). Start with the 6 essential Mirage 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 18 | 44% | 1.30 | 18.5 |
| Dust2 | 7 | 71% | 1.13 | 16.3 |
| Inferno | 6 | 67% | 1.50 | 23.7 |
| Vertigo | 5 | 40% | 1.42 | 18.8 |
| Nuke | 4 | 50% | 1.05 | 16.3 |
| Ancient | 4 | 50% | 0.87 | 9.8 |
| Anubis | 1 | 100% | 1.17 | 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.
- 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 11.4386% — below the 15% 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 27.4392% — 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.
41% win rate across 41 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–11 | -0.01 | 9% | 3 Aug → | |
| dust2 | 1–9 | -0.04 | 15% | 2 Aug → | |
| mirage | 3–13 | 0.01 | 13% | 30 Jul → | |
| ancient | 8–13 | -0.02 | 12% | 27 Jul → | |
| inferno | 13–3 | 0.15 | 18% | 27 Jul → | |
| mirage | 4–13 | -0.03 | 6% | 23 Jul → | |
| mirage | 6–13 | -0.06 | 12% | 20 Jul → | |
| dust2 | 13–2 | -0.01 | 20% | 15 Jul → | |
| cache | 13–11 | 0.05 | 10% | 10 Jul → | |
| mirage | 11–13 | 0.09 | 18% | 10 Jul → | |
| mirage | 11–13 | -0.00 | 21% | 10 Jul → | |
| mirage | 13–10 | 0.06 | 12% | 10 Jul → | |
| mirage | 9–13 | -0.03 | 17% | 9 Jul → | |
| inferno | 13–11 | 0.03 | 11% | 9 Jul → | |
| mirage | 13–5 | -0.01 | 5% | 6 Jul → | |
| mirage | 13–9 | 0.01 | 13% | 6 Jul → | |
| dust2 | 11–13 | -0.06 | 9% | 5 Jul → | |
| mirage | 13–8 | -0.00 | 10% | 5 Jul → | |
| inferno | 9–13 | -0.02 | 7% | 5 Jul → | |
| inferno | 13–10 | -0.03 | 15% | 5 Jul → | |
| mirage | 10–13 | -0.02 | 14% | 4 Jul → | |
| inferno | 13–7 | 0.05 | 11% | 2 Jul → | |
| dust2 | 9–0 | 0.08 | 4% | 2 Jul → | |
| nuke | 13–11 | -0.01 | 12% | 2 Jul → | |
| mirage | 9–13 | 0.02 | 10% | 30 Jun → | |
| anubis | 13–2 | 0.06 | 4% | 30 Jun → | |
| inferno | 13–10 | 0.01 | 13% | 26 Jun → | |
| nuke | 4–13 | -0.05 | 3% | 26 Jun → | |
| inferno | 13–11 | 0.02 | 7% | 26 Jun → | |
| nuke | 15–15 | -0.00 | 9% | 25 Jun → | |
| anubis | 13–11 | 0.03 | 11% | 25 Jun → | |
| mirage | 13–2 | 0.01 | 8% | 25 Jun → | |
| anubis | 16–14 | -0.02 | 2% | 24 Jun → | |
| mirage | 13–11 | 0.09 | 8% | 24 Jun → | |
| nuke | 5–13 | -0.07 | 11% | 24 Jun → | |
| mirage | 13–3 | 0.10 | 9% | 24 Jun → | |
| mirage | 13–4 | -0.03 | 10% | 23 Jun → | |
| nuke | 13–6 | 0.04 | 22% | 23 Jun → | |
| mirage | 7–13 | 0.06 | 12% | 23 Jun → | |
| mirage | 13–8 | 0.02 | 11% | 22 Jun → | |
| anubis | 8–13 | -0.00 | 20% | 22 Jun → | |
| mirage | 13–8 | 0.03 | 6% | 22 Jun → | |
| cache | 13–11 | 0.04 | 12% | 21 Jun → | |
| dust2 | 13–9 | -0.03 | 14% | 21 Jun → | |
| mirage | 12–12 | 0.07 | 15% | 20 Jun → | |
| dust2 | 12–12 | 0.08 | 11% | 20 Jun → | |
| anubis | 4–13 | 0.03 | 31% | 20 Jun → | |
| dust2 | 13–6 | -0.03 | 19% | 20 Jun → | |
| dust2 | 12–12 | 0.04 | 10% | 18 Jun → | |
| dust2 | 4–13 | -0.02 | 17% | 17 Jun → | |
| cache | 8–13 | -0.00 | 19% | 17 Jun → | |
| mirage | 10–13 | 0.01 | 8% | 16 Jun → | |
| mirage | 5–13 | 0.08 | 14% | 13 Jun → | |
| mirage | 7–10 | -0.04 | 17% | 11 Jun → | |
| mirage | 3–7 | -0.04 | 0% | 10 Jun → | |
| cache | 4–13 | 0.03 | 15% | 10 Jun → | |
| mirage | 12–12 | 0.05 | 8% | 10 Jun → | |
| cache | 12–12 | -0.01 | 7% | 7 Jun → | |
| cache | 8–13 | -0.00 | 17% | 7 Jun → | |
| cache | 5–13 | -0.07 | 4% | 2 Jun → | |
| train | 0–13 | -0.03 | 14% | 31 May → | |
| cache | 12–12 | 0.03 | 7% | 30 May → | |
| cache | 13–6 | 0.02 | 2% | 22 May → | |
| mirage | 9–13 | -0.00 | 6% | 16 May → | |
| cache | 5–13 | -0.05 | 7% | 16 May → | |
| cache | 13–9 | 0.05 | 22% | 9 May → | |
| mirage | 13–11 | -0.03 | 8% | 2 May → | |
| cache | 13–8 | -0.04 | 18% | 2 May → | |
| dust2 | 0–10 | -0.09 | 8% | 1 May → | |
| cache | 13–5 | 0.02 | 13% | 1 May → | |
| mirage | 6–13 | 0.01 | 14% | 1 May → | |
| cache | 13–6 | 0.07 | 16% | 1 May → | |
| cache | 13–6 | 0.09 | 14% | 30 Apr → | |
| mirage | 9–13 | 0.06 | 14% | 26 Apr → | |
| mirage | 8–13 | -0.05 | 9% | 25 Apr → | |
| dust2 | 13–3 | -0.00 | 12% | 22 Apr → | |
| mirage | 13–8 | 0.06 | 10% | 22 Apr → | |
| anubis | 0–13 | -0.02 | 32% | 19 Apr → | |
| mirage | 2–13 | -0.02 | 7% | 19 Apr → | |
| nuke | 0–6 | -0.05 | 6% | 17 Apr → | |
| mirage | 11–13 | 0.02 | 13% | 17 Apr → | |
| mirage | 9–13 | 0.01 | 17% | 14 Apr → | |
| mirage | 13–11 | -0.03 | 13% | 10 Apr → | |
| nuke | 13–7 | -0.01 | 12% | 10 Apr → | |
| mirage | 13–7 | 0.00 | 8% | 5 Apr → | |
| mirage | 4–13 | -0.06 | 8% | 4 Apr → | |
| mirage | 12–12 | 0.01 | 13% | 4 Apr → | |
| dust2 | 4–13 | -0.00 | 15% | 27 Mar → | |
| anubis | 16–13 | 0.00 | 6% | 27 Mar → | |
| mirage | 13–9 | -0.01 | 9% | 26 Mar → | |
| nuke | 13–3 | -0.03 | 3% | 26 Mar → | |
| dust2 | 2–13 | -0.03 | 11% | 24 Mar → | |
| inferno | 5–13 | -0.02 | 11% | 22 Mar → | |
| mirage | 13–6 | 0.07 | 4% | 22 Mar → | |
| nuke | 6–13 | -0.03 | 14% | 20 Mar → | |
| inferno | 13–6 | -0.04 | 13% | 20 Mar → | |
| train | 13–9 | 0.04 | 14% | 27 Dec → | |
| mirage | 13–6 | 0.04 | 16% | 20 Sept → | |
| inferno | 13–8 | 0.04 | 24% | 16 Sept → | |
| train | 8–13 | -0.04 | 17% | 15 Sept → |
Match data via Leetify.
