bagnatizek — CS2 Stats
76561199191223665[U:1:1230957937]✓ No bans
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 34.0% | 46.2% | 47.2% | 13.2% short |
| Shot accuracy | 17.3% | 12.5% | 12.3% | above |
| Kill/death ratio | 0.86 | 1.06 | 1.07 | 0.22 short |
| Match win rate | 52.3% | 45.9% | 46.3% | above |
This profile matches the typical Level 8 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 8 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 · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 Twistzz 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
Flashes. 0.78 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 569ms 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 5.2/10 (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 |
|---|---|---|---|---|---|
| B | 23 | 11–12 | 48% | 0.01 | |
| D | 19 | 6–13 | 32% | 0.01 | |
| A | 18 | 11–7 | 61% | 0.01 | |
| D | 15 | 5–10 | 33% | 0.01 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (32% over 19). 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.
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 13.7047% — 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 38.7384% — 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.
32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–16 | -0.05 | 19% | 18 Jul → | ||
| 11–16 | -0.02 | 14% | 18 Jul → | ||
| 14–16 | -0.03 | 10% | 18 Jul → | ||
| 16–8 | 0.04 | 20% | 18 Jul → | ||
| 16–8 | 0.00 | 25% | 18 Jul → | ||
| 11–16 | 0.02 | 12% | 17 Jul → | ||
| 8–16 | -0.00 | 4% | 17 Jul → | ||
| 12–16 | 0.09 | 16% | 17 Jul → | ||
| 16–6 | -0.00 | 9% | 17 Jul → | ||
| 19–17 | 0.02 | 10% | 17 Jul → | ||
| 15–19 | -0.02 | 9% | 17 Jul → | ||
| 9–16 | -0.01 | 12% | 17 Jul → | ||
| 16–10 | 0.02 | 25% | 17 Jul → | ||
| 4–16 | -0.02 | 20% | 16 Jul → | ||
| 6–16 | -0.01 | 11% | 16 Jul → | ||
| 8–16 | 0.04 | 9% | 16 Jul → | ||
| 14–16 | -0.02 | 7% | 16 Jul → | ||
| 16–7 | 0.01 | 19% | 16 Jul → | ||
| 22–19 | 0.02 | 14% | 15 Jul → | ||
| 4–16 | -0.03 | 14% | 15 Jul → | ||
| 14–16 | 0.01 | 10% | 15 Jul → | ||
| 12–16 | 0.00 | 19% | 14 Jul → | ||
| 16–14 | 0.00 | 16% | 14 Jul → | ||
| 12–16 | 0.03 | 19% | 14 Jul → | ||
| 6–16 | 0.04 | 13% | 14 Jul → | ||
| 8–16 | 0.02 | 13% | 13 Jul → | ||
| 12–16 | -0.03 | 14% | 13 Jul → | ||
| 8–16 | -0.04 | 7% | 13 Jul → | ||
| 14–16 | 0.04 | 17% | 13 Jul → | ||
| 13–16 | 0.01 | 8% | 12 Jul → | ||
| 10–16 | 0.01 | 10% | 12 Jul → | ||
| 16–9 | -0.00 | 11% | 12 Jul → | ||
| 13–16 | 0.04 | 14% | 12 Jul → | ||
| 19–16 | -0.01 | 10% | 12 Jul → | ||
| 11–16 | 0.01 | 14% | 12 Jul → | ||
| 8–16 | -0.02 | 10% | 12 Jul → | ||
| 9–16 | -0.02 | 6% | 11 Jul → | ||
| 13–16 | 0.03 | 11% | 11 Jul → | ||
| 16–7 | 0.02 | 11% | 11 Jul → | ||
| 13–16 | 0.02 | 7% | 11 Jul → | ||
| 8–16 | -0.04 | 8% | 11 Jul → | ||
| 16–12 | -0.04 | 8% | 11 Jul → | ||
| 16–12 | -0.04 | 13% | 11 Jul → | ||
| 13–16 | -0.01 | 17% | 11 Jul → | ||
| 7–16 | -0.04 | 14% | 10 Jul → | ||
| 16–14 | 0.07 | 20% | 10 Jul → | ||
| 6–16 | -0.07 | 24% | 9 Jul → | ||
| 16–19 | -0.05 | 5% | 9 Jul → | ||
| 16–14 | 0.06 | 7% | 9 Jul → | ||
| 22–20 | 0.05 | 14% | 9 Jul → | ||
| 16–14 | -0.03 | 10% | 9 Jul → | ||
| 16–14 | 0.01 | 16% | 9 Jul → | ||
| 16–10 | -0.02 | 23% | 9 Jul → | ||
| 16–13 | 0.12 | 12% | 8 Jul → | ||
| 13–16 | 0.04 | 6% | 8 Jul → | ||
| 19–16 | 0.09 | 14% | 8 Jul → | ||
| 16–8 | 0.05 | 11% | 8 Jul → | ||
| 17–19 | 0.05 | 11% | 8 Jul → | ||
| 16–4 | -0.01 | 13% | 8 Jul → | ||
| 14–16 | 0.01 | 14% | 8 Jul → | ||
| 19–17 | -0.02 | 11% | 7 Jul → | ||
| 16–7 | -0.01 | 8% | 7 Jul → | ||
| 16–12 | -0.02 | 5% | 7 Jul → | ||
| 13–16 | 0.00 | 10% | 7 Jul → | ||
| 13–16 | 0.03 | 20% | 7 Jul → | ||
| 7–16 | 0.03 | 17% | 7 Jul → | ||
| 9–16 | -0.02 | 20% | 7 Jul → | ||
| 19–16 | -0.02 | 15% | 5 Jul → | ||
| 16–14 | 0.06 | 8% | 5 Jul → | ||
| 16–11 | -0.04 | 7% | 5 Jul → | ||
| 17–19 | -0.02 | 9% | 5 Jul → | ||
| 19–15 | -0.02 | 17% | 5 Jul → | ||
| 11–16 | -0.03 | 25% | 5 Jul → | ||
| 12–16 | 0.02 | 13% | 5 Jul → | ||
| 18–22 | -0.03 | 19% | 5 Jul → | ||
| 10–16 | 0.07 | 18% | 4 Jul → | ||
| 16–19 | -0.01 | 5% | 4 Jul → | ||
| 16–14 | -0.01 | 13% | 4 Jul → | ||
| 16–7 | 0.01 | 21% | 4 Jul → | ||
| 16–3 | 0.07 | 3% | 4 Jul → | ||
| 16–4 | 0.05 | 18% | 4 Jul → | ||
| 16–8 | 0.01 | 5% | 3 Jul → | ||
| 16–11 | 0.03 | 8% | 3 Jul → | ||
| 7–16 | -0.02 | 14% | 3 Jul → | ||
| 16–12 | 0.01 | 14% | 3 Jul → | ||
| 11–16 | -0.01 | 16% | 3 Jul → | ||
| 16–12 | -0.02 | 11% | 3 Jul → | ||
| 5–16 | 0.03 | 12% | 3 Jul → | ||
| 16–7 | -0.00 | 14% | 3 Jul → | ||
| 13–16 | -0.02 | 9% | 2 Jul → | ||
| 16–4 | 0.05 | 8% | 2 Jul → | ||
| 2–16 | -0.07 | 7% | 2 Jul → | ||
| 16–11 | 0.02 | 18% | 2 Jul → | ||
| 16–7 | 0.03 | 19% | 2 Jul → | ||
| 16–7 | 0.06 | 14% | 2 Jul → | ||
| 10–16 | 0.00 | 10% | 2 Jul → | ||
| 16–12 | -0.01 | 7% | 2 Jul → | ||
| 13–16 | -0.03 | 13% | 2 Jul → | ||
| 13–16 | -0.03 | 14% | 2 Jul → | ||
| 15–19 | -0.00 | 11% | 1 Jul → |
Match data via Leetify.