BettingAunt — CS2 Stats
US76561198996773661[U:1:1036507933]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 47.3% | 52.8% |
| Shot accuracy | 13.8% | 13.7% |
| Kill/death ratio | 1.13 | 1.08 |
| Match win rate | 49.3% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 sh1ro 97% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 94 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 (×1.02 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 | 31 | 16–15 | 52% | 0.03 | |
| S | 21 | 14–7 | 67% | 0.02 | |
| B | 17 | 8–9 | 47% | 0.02 | |
| S | 9 | 7–2 | 78% | 0.07 | |
| D | 6 | 1–5 | 17% | 0.01 | |
| D | 5 | 1–4 | 20% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| office | — | 4 | 1–3 | 25% | 0.03 |
| — | 2 | 0–2 | 0% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.08 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 6). 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 42 | 64% | 1.29 | 17.7 |
| Ancient | 31 | 74% | 1.17 | 19.1 |
| Mirage | 28 | 46% | 1.13 | 16.3 |
| Inferno | 9 | 33% | 1.04 | 16.8 |
| Anubis | 6 | 17% | 1.04 | 17.3 |
| Nuke | 4 | 100% | 1.94 | 24.8 |
| Cache | 3 | 33% | 0.90 | 14.0 |
| Overpass | 2 | 50% | 1.56 | 22.5 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.03 | 26% | 28 Aug → | ||
| 12–12 | -0.03 | 15% | 28 Aug → | ||
| office | 13–11 | -0.01 | 40% | 28 Aug → | |
| 25–22 | 0.02 | 24% | 28 Aug → | ||
| 6–13 | -0.03 | 16% | 28 Aug → | ||
| 14–16 | -0.01 | 24% | 28 Aug → | ||
| 13–10 | -0.01 | 25% | 27 Aug → | ||
| 16–14 | -0.02 | 18% | 27 Aug → | ||
| 16–13 | 0.01 | 21% | 27 Aug → | ||
| 13–6 | 0.02 | 17% | 27 Aug → | ||
| 3–13 | 0.04 | 20% | 27 Aug → | ||
| 13–7 | 0.01 | 21% | 27 Aug → | ||
| 5–13 | -0.08 | 8% | 27 Aug → | ||
| 12–12 | -0.01 | 21% | 26 Aug → | ||
| 0–13 | -0.07 | 33% | 22 Aug → | ||
| 10–13 | 0.03 | 27% | 21 Aug → | ||
| 13–2 | 0.07 | 20% | 21 Aug → | ||
| 9–13 | 0.11 | 30% | 21 Aug → | ||
| 12–12 | -0.01 | 29% | 21 Aug → | ||
| 6–13 | -0.01 | 50% | 21 Aug → | ||
| 11–13 | 0.01 | 24% | 21 Aug → | ||
| 13–11 | -0.01 | 46% | 21 Aug → | ||
| 5–13 | -0.02 | 27% | 21 Aug → | ||
| 13–8 | 0.04 | 31% | 21 Aug → | ||
| 13–10 | 0.00 | 13% | 20 Aug → | ||
| 11–13 | 0.01 | 16% | 20 Aug → | ||
| 13–7 | 0.03 | 27% | 20 Aug → | ||
| 13–1 | 0.08 | 38% | 20 Aug → | ||
| office | 12–12 | 0.04 | 25% | 20 Aug → | |
| 12–12 | 0.17 | 39% | 20 Aug → | ||
| 13–11 | 0.01 | 17% | 20 Aug → | ||
| 13–9 | 0.01 | 19% | 20 Aug → | ||
| 13–11 | 0.04 | 26% | 14 Aug → | ||
| 13–1 | 0.13 | 26% | 14 Aug → | ||
| 13–10 | 0.02 | 25% | 14 Aug → | ||
| 13–9 | 0.04 | 18% | 13 Aug → | ||
| 6–13 | 0.01 | 27% | 13 Aug → | ||
| 10–13 | 0.09 | 32% | 13 Aug → | ||
| 13–6 | 0.05 | 27% | 11 Aug → | ||
| 13–3 | 0.11 | 17% | 11 Aug → | ||
| 13–5 | 0.02 | 19% | 11 Aug → | ||
| 4–13 | -0.04 | 23% | 8 Aug → | ||
| 10–13 | -0.01 | 10% | 8 Aug → | ||
| 8–13 | 0.02 | 21% | 7 Aug → | ||
| 13–11 | -0.02 | 17% | 7 Aug → | ||
| office | 1–13 | 0.02 | 50% | 7 Aug → | |
| 13–9 | 0.05 | 25% | 7 Aug → | ||
| 13–11 | 0.01 | 14% | 7 Aug → | ||
| 16–14 | 0.04 | 18% | 7 Aug → | ||
| 13–16 | -0.04 | 25% | 7 Aug → | ||
| 13–11 | -0.02 | 16% | 6 Aug → | ||
| 13–8 | 0.06 | 15% | 6 Aug → | ||
| 13–7 | 0.01 | 18% | 6 Aug → | ||
| 9–13 | 0.05 | 33% | 6 Aug → | ||
| 13–11 | -0.01 | 20% | 6 Aug → | ||
| 9–13 | -0.02 | 29% | 6 Aug → | ||
| 13–8 | 0.01 | 28% | 6 Aug → | ||
| 13–7 | -0.00 | 36% | 6 Aug → | ||
| 13–3 | 0.09 | 26% | 6 Aug → | ||
| 16–13 | -0.01 | 27% | 6 Aug → | ||
| 13–6 | 0.04 | 32% | 5 Aug → | ||
| 13–10 | 0.01 | 14% | 5 Aug → | ||
| 13–11 | 0.04 | 21% | 5 Aug → | ||
| 9–13 | 0.02 | 20% | 5 Aug → | ||
| 13–10 | 0.05 | 28% | 5 Aug → | ||
| 13–16 | 0.01 | 19% | 4 Aug → | ||
| 13–16 | 0.05 | 30% | 4 Aug → | ||
| 7–13 | 0.07 | 16% | 4 Aug → | ||
| 7–13 | 0.07 | 29% | 1 Aug → | ||
| 12–12 | 0.08 | 25% | 1 Aug → | ||
| 13–4 | 0.27 | 46% | 1 Aug → | ||
| 13–10 | 0.07 | 25% | 1 Aug → | ||
| office | 10–13 | 0.04 | 24% | 1 Aug → | |
| 8–13 | 0.03 | 27% | 1 Aug → | ||
| 3–13 | 0.07 | 21% | 1 Aug → | ||
| 13–3 | -0.01 | 14% | 31 Jul → | ||
| 15–15 | 0.01 | 14% | 31 Jul → | ||
| 3–13 | -0.06 | 19% | 31 Jul → | ||
| 16–13 | -0.03 | 16% | 29 Jul → | ||
| 13–8 | 0.03 | 24% | 29 Jul → | ||
| 4–13 | -0.07 | 17% | 29 Jul → | ||
| 10–13 | 0.06 | 32% | 29 Jul → | ||
| 9–3 | -0.00 | 29% | 29 Jul → | ||
| 9–13 | -0.07 | 29% | 29 Jul → | ||
| 9–13 | -0.04 | 15% | 29 Jul → | ||
| 6–13 | -0.03 | 27% | 29 Jul → | ||
| 2–6 | 0.16 | 33% | 29 Jul → | ||
| 13–10 | 0.01 | 17% | 29 Jul → | ||
| 5–9 | -0.03 | 22% | 29 Jul → | ||
| 9–3 | 0.12 | 12% | 29 Jul → | ||
| 6–9 | 0.05 | 38% | 29 Jul → | ||
| 13–8 | 0.05 | 20% | 24 Jul → | ||
| 10–13 | 0.09 | 20% | 24 Jul → | ||
| 8–13 | 0.05 | 13% | 24 Jul → | ||
| 10–13 | 0.13 | 20% | 24 Jul → | ||
| 12–12 | 0.12 | 25% | 24 Jul → | ||
| 3–13 | -0.10 | 43% | 23 Jul → | ||
| 6–13 | 0.03 | 17% | 23 Jul → | ||
| 13–11 | 0.06 | 20% | 23 Jul → | ||
| 13–4 | 0.03 | 13% | 23 Jul → |
Match data via Leetify.