ban1k — CS2 Stats
76561199490167691[U:1:1529901963]
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 46.2% | 44.2% | 44.9% | above |
| Shot accuracy | 7.4% | 11.2% | 11.8% | 4.4% short |
| Kill/death ratio | 0.86 | 1.04 | 1.04 | 0.18 short |
| Match win rate | 46.1% | 45.3% | 45.3% | meets |
This profile matches the typical Level 6 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 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: -10pp win rate · -0.03 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 b1t 86% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 622ms 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 5.3/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 22 | 13–9 | 59% | 0.02 | |
| D | 14 | 4–10 | 29% | 0.01 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| office | C | 9 | 4–5 | 44% | 0.01 |
| A | 9 | 5–4 | 56% | 0.01 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| — | 4 | 3–1 | 75% | -0.00 | |
| italy | — | 4 | 2–2 | 50% | -0.02 |
| alpine | — | 3 | 2–1 | 67% | 0.04 |
| — | 3 | 1–2 | 33% | 0.03 | |
| palacio | — | 3 | 1–2 | 33% | 0.03 |
| sanctum | — | 2 | 0–2 | 0% | -0.09 |
| poseidon | — | 2 | 1–1 | 50% | -0.03 |
| golden | — | 2 | 1–1 | 50% | 0.02 |
| — | 2 | 0–2 | 0% | -0.15 | |
| warden | — | 1 | 1–0 | 100% | 0.04 |
| stronghold | — | 1 | 0–1 | 0% | -0.00 |
| rooftop | — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 14). 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 11 | 45% | 0.96 | 13.9 |
| Dust2 | 8 | 88% | 1.03 | 15.3 |
| Ancient | 4 | 25% | 0.88 | 14.8 |
| Inferno | 1 | 0% | 0.74 | 14.0 |
| Nuke | 1 | 0% | 0.35 | 6.0 |
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 33.5227% — 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.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.04 | 15% | 22 Jun → | ||
| 13–5 | -0.04 | 15% | 21 Jun → | ||
| 13–8 | 0.03 | 15% | 19 Jun → | ||
| 12–12 | 0.04 | 21% | 19 Jun → | ||
| office | 13–8 | 0.05 | 31% | 1 Apr → | |
| office | 5–13 | -0.08 | 18% | 9 Feb → | |
| 7–9 | -0.02 | 7% | 9 Feb → | ||
| sanctum | 7–9 | -0.05 | 33% | 8 Feb → | |
| poseidon | 3–9 | -0.17 | 26% | 8 Feb → | |
| 13–6 | -0.00 | 9% | 8 Feb → | ||
| 13–11 | -0.04 | 10% | 8 Feb → | ||
| alpine | 8–13 | 0.02 | 20% | 4 Feb → | |
| poseidon | 9–5 | 0.10 | 10% | 4 Feb → | |
| sanctum | 4–9 | -0.12 | 9% | 4 Feb → | |
| office | 6–13 | 0.01 | 16% | 30 Jan → | |
| alpine | 10–0 | 0.01 | 14% | 30 Jan → | |
| warden | 13–9 | 0.04 | 15% | 29 Jan → | |
| stronghold | 9–13 | -0.00 | 19% | 29 Jan → | |
| alpine | 13–8 | 0.09 | 20% | 27 Jan → | |
| 4–9 | -0.05 | 17% | 25 Jan → | ||
| 4–9 | -0.09 | 33% | 15 Jan → | ||
| office | 13–10 | -0.01 | 24% | 15 Jan → | |
| golden | 13–3 | -0.00 | 12% | 14 Jan → | |
| office | 3–13 | -0.04 | 38% | 9 Jan → | |
| office | 13–3 | 0.09 | 26% | 8 Jan → | |
| 8–8 | 0.03 | 15% | 8 Jan → | ||
| 13–9 | 0.05 | 19% | 1 Jan → | ||
| 13–8 | 0.09 | 24% | 1 Jan → | ||
| 9–2 | 0.17 | 11% | 1 Jan → | ||
| 8–13 | 0.05 | 12% | 28 Dec → | ||
| 9–13 | 0.03 | 18% | 28 Dec → | ||
| 8–8 | 0.00 | 9% | 27 Dec → | ||
| 9–13 | 0.07 | 18% | 27 Dec → | ||
| 12–0 | 0.10 | 10% | 27 Dec → | ||
| 9–13 | -0.03 | 10% | 21 Dec → | ||
| 13–10 | 0.07 | 12% | 20 Dec → | ||
| 9–4 | 0.01 | 17% | 20 Dec → | ||
| 4–13 | 0.01 | 33% | 19 Dec → | ||
| 11–13 | -0.02 | 23% | 18 Dec → | ||
| 9–6 | -0.04 | 16% | 17 Dec → | ||
| 13–6 | 0.02 | 23% | 17 Dec → | ||
| 13–8 | -0.01 | 23% | 17 Dec → | ||
| 13–7 | -0.05 | 13% | 17 Dec → | ||
| 4–13 | -0.07 | 13% | 14 Dec → | ||
| 6–13 | -0.00 | 20% | 5 Dec → | ||
| 3–13 | -0.05 | 31% | 5 Dec → | ||
| 13–8 | -0.00 | 10% | 5 Dec → | ||
| 13–3 | 0.02 | 11% | 4 Dec → | ||
| 6–13 | -0.07 | 14% | 4 Dec → | ||
| 9–3 | 0.13 | 8% | 30 Nov → | ||
| 9–3 | 0.13 | 17% | 30 Nov → | ||
| 13–4 | 0.11 | 17% | 30 Nov → | ||
| 13–9 | 0.01 | 15% | 26 Nov → | ||
| 13–9 | 0.01 | 8% | 26 Nov → | ||
| 13–7 | 0.02 | 11% | 24 Nov → | ||
| 13–6 | -0.04 | 15% | 24 Nov → | ||
| 2–9 | -0.19 | 25% | 24 Nov → | ||
| 5–9 | -0.12 | 16% | 20 Nov → | ||
| 9–5 | 0.10 | 30% | 20 Nov → | ||
| 2–9 | -0.10 | 18% | 20 Nov → | ||
| rooftop | 9–3 | 0.11 | 10% | 19 Nov → | |
| 13–5 | -0.02 | 25% | 19 Nov → | ||
| 11–13 | -0.02 | 28% | 19 Nov → | ||
| palacio | 9–13 | 0.03 | 13% | 19 Nov → | |
| 9–7 | 0.09 | 28% | 19 Nov → | ||
| 12–12 | 0.02 | 20% | 18 Nov → | ||
| 8–8 | 0.13 | 32% | 18 Nov → | ||
| 7–9 | 0.08 | 18% | 18 Nov → | ||
| 8–8 | -0.02 | 11% | 16 Nov → | ||
| 6–9 | -0.07 | 9% | 16 Nov → | ||
| 13–7 | 0.06 | 8% | 16 Nov → | ||
| 5–13 | -0.02 | 16% | 16 Nov → | ||
| 13–6 | 0.04 | 17% | 16 Nov → | ||
| 7–13 | 0.03 | 25% | 16 Nov → | ||
| 13–3 | 0.10 | 19% | 15 Nov → | ||
| 8–8 | 0.11 | 13% | 15 Nov → | ||
| italy | 11–13 | -0.08 | 15% | 12 Nov → | |
| 13–11 | -0.04 | 24% | 12 Nov → | ||
| 7–13 | -0.02 | 21% | 12 Nov → | ||
| 13–10 | -0.01 | 13% | 12 Nov → | ||
| 9–5 | -0.02 | 10% | 10 Nov → | ||
| 13–6 | 0.01 | 24% | 4 Nov → | ||
| 12–12 | 0.08 | 14% | 1 Nov → | ||
| 13–3 | -0.04 | 12% | 1 Nov → | ||
| 5–13 | -0.03 | 19% | 31 Oct → | ||
| italy | 13–9 | -0.04 | 24% | 27 Oct → | |
| 9–13 | 0.01 | 14% | 27 Oct → | ||
| palacio | 13–4 | 0.03 | 16% | 27 Oct → | |
| 7–13 | 0.02 | 17% | 27 Oct → | ||
| 7–13 | 0.03 | 13% | 27 Oct → | ||
| palacio | 8–11 | 0.04 | 33% | 23 Oct → | |
| 13–2 | 0.15 | 24% | 20 Oct → | ||
| golden | 12–12 | 0.05 | 12% | 13 Oct → | |
| 5–9 | -0.02 | 35% | 14 Sept → | ||
| 3–9 | -0.10 | 6% | 26 Aug → | ||
| office | 4–13 | 0.02 | 16% | 13 Aug → | |
| office | 5–13 | -0.04 | 15% | 10 Aug → | |
| italy | 2–11 | 0.04 | 31% | 30 Jul → | |
| office | 13–4 | 0.09 | 27% | 28 Jul → | |
| italy | 13–8 | -0.01 | 5% | 23 Jul → |
Match data via Leetify.