Bingus — CS2 Stats
76561199438490867[U:1:1478225139]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp 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 66% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower opening-fight frequency; 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. 679ms 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 3.5/10 (Learning), 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 |
|---|---|---|---|---|---|
| D | 24 | 8–16 | 33% | -0.03 | |
| D | 14 | 4–10 | 29% | -0.05 | |
| C | 12 | 5–7 | 42% | -0.02 | |
| D | 8 | 1–7 | 13% | -0.04 | |
| D | 7 | 2–5 | 29% | -0.04 | |
| S | 7 | 5–2 | 71% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| S | 5 | 4–1 | 80% | -0.03 | |
| A | 5 | 3–2 | 60% | -0.04 | |
| — | 4 | 3–1 | 75% | -0.03 | |
| shelter | — | 2 | 0–2 | 0% | -0.02 |
| poseidon | — | 2 | 0–2 | 0% | -0.03 |
| warden | — | 2 | 1–1 | 50% | -0.04 |
| office | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis 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.
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.6855° — above the 12° mark we flag
- 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 9.0828% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.0287 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.04 | 7% | 22 Aug → | ||
| 9–13 | -0.02 | 3% | 22 Aug → | ||
| 13–6 | -0.00 | 18% | 19 Aug → | ||
| 3–13 | -0.15 | 8% | 9 Aug → | ||
| 13–11 | -0.03 | 15% | 4 Aug → | ||
| 13–11 | 0.05 | 10% | 3 Aug → | ||
| 13–7 | -0.01 | 8% | 30 Jul → | ||
| 13–3 | -0.03 | 0% | 30 Jul → | ||
| 13–9 | -0.01 | 17% | 30 Jul → | ||
| 13–6 | -0.05 | 11% | 30 Jul → | ||
| 13–10 | -0.07 | 11% | 30 Jul → | ||
| 11–13 | -0.06 | 14% | 26 Jul → | ||
| 13–7 | -0.04 | 10% | 26 Jul → | ||
| 8–13 | -0.08 | 14% | 19 Jul → | ||
| shelter | 3–13 | -0.12 | 0% | 18 Jul → | |
| 2–13 | -0.04 | 7% | 18 Jul → | ||
| 6–13 | 0.01 | 5% | 12 Jul → | ||
| 6–13 | -0.05 | 10% | 12 Jul → | ||
| 5–13 | -0.03 | 2% | 11 Jul → | ||
| shelter | 2–9 | 0.07 | 0% | 11 Jul → | |
| 13–11 | -0.08 | 13% | 11 Jul → | ||
| 13–9 | -0.00 | 10% | 9 Jul → | ||
| 4–13 | 0.01 | 2% | 5 Jul → | ||
| 2–13 | -0.09 | 9% | 4 Jul → | ||
| 12–12 | -0.06 | 10% | 27 Jun → | ||
| 5–13 | -0.02 | 13% | 16 Jun → | ||
| office | 2–13 | -0.06 | 9% | 16 Jun → | |
| 7–13 | -0.06 | 10% | 14 Jun → | ||
| 13–11 | 0.06 | 8% | 13 Jun → | ||
| 13–10 | -0.04 | 9% | 8 Jun → | ||
| poseidon | 6–9 | -0.04 | 13% | 8 Jun → | |
| 9–13 | -0.01 | 8% | 7 Jun → | ||
| 12–12 | -0.02 | 8% | 7 Jun → | ||
| 4–13 | -0.04 | 11% | 7 Jun → | ||
| 8–13 | -0.05 | 7% | 7 Jun → | ||
| 3–3 | 0.02 | 14% | 7 Jun → | ||
| 5–13 | -0.04 | 8% | 6 Jun → | ||
| 11–13 | -0.05 | 8% | 6 Jun → | ||
| 13–7 | -0.06 | 7% | 6 Jun → | ||
| 13–10 | -0.02 | 12% | 5 Jun → | ||
| 3–13 | -0.03 | 10% | 4 Jun → | ||
| 2–13 | -0.06 | 9% | 2 Jun → | ||
| 7–13 | -0.05 | 8% | 1 Jun → | ||
| 13–7 | 0.01 | 3% | 1 Jun → | ||
| 13–3 | 0.04 | 10% | 1 Jun → | ||
| 13–9 | -0.01 | 4% | 1 Jun → | ||
| 4–13 | -0.13 | 4% | 31 May → | ||
| 13–3 | -0.03 | 4% | 31 May → | ||
| 13–10 | 0.02 | 7% | 31 May → | ||
| warden | 13–11 | -0.01 | 4% | 31 May → | |
| 5–13 | -0.09 | 10% | 29 May → | ||
| 3–13 | -0.14 | 6% | 26 May → | ||
| 4–13 | -0.05 | 14% | 26 May → | ||
| warden | 6–13 | -0.06 | 7% | 25 May → | |
| 11–13 | -0.05 | 8% | 25 May → | ||
| 3–13 | -0.06 | 14% | 25 May → | ||
| 3–13 | -0.06 | 14% | 25 May → | ||
| 13–11 | -0.01 | 12% | 24 May → | ||
| 3–13 | -0.04 | 13% | 24 May → | ||
| 3–13 | -0.09 | 12% | 24 May → | ||
| 8–2 | -0.03 | 0% | 24 May → | ||
| 9–13 | -0.06 | 12% | 24 May → | ||
| 13–5 | 0.05 | 5% | 24 May → | ||
| 13–6 | 0.08 | 14% | 24 May → | ||
| 12–12 | -0.01 | 18% | 23 May → | ||
| 13–8 | 0.01 | 13% | 23 May → | ||
| 13–7 | -0.01 | 13% | 17 May → | ||
| 6–13 | -0.01 | 13% | 17 May → | ||
| 13–5 | -0.01 | 3% | 17 May → | ||
| 0–13 | -0.10 | 21% | 17 May → | ||
| 9–4 | 0.00 | 6% | 17 May → | ||
| 12–12 | 0.02 | 4% | 17 May → | ||
| 12–12 | -0.03 | 11% | 16 May → | ||
| 13–7 | 0.00 | 5% | 16 May → | ||
| 13–6 | -0.02 | 14% | 12 May → | ||
| 4–13 | -0.09 | 10% | 12 May → | ||
| 1–13 | -0.06 | 13% | 12 May → | ||
| 0–13 | -0.10 | 8% | 12 May → | ||
| 13–10 | -0.05 | 9% | 12 May → | ||
| 10–13 | 0.00 | 12% | 12 May → | ||
| 8–13 | -0.02 | 10% | 12 May → | ||
| 13–11 | -0.04 | 12% | 9 May → | ||
| 13–5 | 0.01 | 18% | 9 May → | ||
| 12–12 | 0.02 | 7% | 6 May → | ||
| 7–13 | -0.04 | 17% | 5 May → | ||
| 12–12 | 0.05 | 9% | 5 May → | ||
| 13–11 | -0.06 | 6% | 5 May → | ||
| 9–13 | -0.07 | 9% | 5 May → | ||
| 5–13 | -0.06 | 11% | 5 May → | ||
| 13–4 | -0.05 | 18% | 5 May → | ||
| 13–1 | -0.03 | 6% | 4 May → | ||
| 2–13 | -0.05 | 13% | 1 May → | ||
| 11–13 | -0.04 | 4% | 1 May → | ||
| 7–13 | -0.05 | 15% | 1 May → | ||
| 13–10 | -0.04 | 11% | 27 Apr → | ||
| 10–13 | -0.05 | 7% | 26 Apr → | ||
| 7–13 | -0.09 | 10% | 26 Apr → | ||
| 13–3 | 0.01 | 15% | 26 Apr → | ||
| poseidon | 8–8 | -0.03 | 13% | 25 Apr → | |
| 11–4 | -0.01 | 9% | 19 Apr → |
Match data via Leetify.
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