FlavorLizard — CS2 Stats
76561199229346649[U:1:1269080921]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 37.5% | 41.7% | 44.1% | 6.6% short |
| Shot accuracy | 0.3% | 8.8% | 11.4% | 11.2% short |
| Kill/death ratio | 1.01 | 0.97 | 1.03 | meets |
| Match win rate | 46.8% | 43.8% | 45.2% | above |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.09 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafingLimited 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 s1mple 90% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower utility contribution.
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 92 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
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 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| S | 28 | 20–8 | 71% | 0.05 | |
| S | 24 | 18–6 | 75% | 0.05 | |
| S | 17 | 14–3 | 82% | 0.04 | |
| A | 12 | 7–5 | 58% | 0.02 | |
| S | 10 | 7–3 | 70% | 0.04 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.08 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (58% over 12). 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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.6362 — below the 4 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.03 | 11% | 20 Aug → | ||
| 7–13 | 0.02 | 8% | 20 Aug → | ||
| 7–13 | -0.08 | 17% | 19 Aug → | ||
| 13–4 | 0.01 | 47% | 5 Aug → | ||
| 13–2 | 0.06 | 18% | 5 Aug → | ||
| 12–16 | 0.03 | 13% | 3 Aug → | ||
| 13–7 | 0.06 | 21% | 3 Aug → | ||
| 13–8 | 0.09 | 12% | 26 Jul → | ||
| 4–6 | 0.01 | 20% | 26 Jul → | ||
| 1–8 | -0.14 | 0% | 25 Jul → | ||
| 13–7 | 0.06 | 18% | 25 Jul → | ||
| 9–13 | 0.06 | 15% | 24 Jul → | ||
| 13–4 | 0.15 | 4% | 24 Jul → | ||
| 13–4 | 0.20 | 22% | 24 Jul → | ||
| 13–9 | 0.07 | 18% | 24 Jul → | ||
| 13–3 | 0.07 | 20% | 23 Jul → | ||
| 13–7 | 0.10 | 24% | 23 Jul → | ||
| 10–13 | 0.10 | 15% | 20 Jul → | ||
| 3–13 | 0.08 | 8% | 20 Jul → | ||
| 13–7 | 0.12 | 17% | 20 Jul → | ||
| 14–16 | 0.08 | 17% | 1 Jul → | ||
| 13–10 | 0.04 | 18% | 28 Jun → | ||
| 13–6 | 0.02 | 24% | 16 Jun → | ||
| 13–9 | -0.00 | 42% | 15 Jun → | ||
| 9–7 | 0.06 | 24% | 13 Jun → | ||
| 13–11 | -0.01 | 13% | 13 Jun → | ||
| 13–9 | -0.00 | 27% | 12 Jun → | ||
| 10–13 | 0.04 | 47% | 12 Jun → | ||
| 13–3 | 0.15 | 27% | 12 Jun → | ||
| 13–10 | 0.06 | 21% | 12 Jun → | ||
| 9–13 | 0.09 | 17% | 12 Jun → | ||
| 9–13 | -0.07 | 29% | 11 Jun → | ||
| 7–13 | 0.21 | 18% | 11 Jun → | ||
| 16–14 | 0.00 | 17% | 10 Jun → | ||
| 13–9 | -0.01 | 20% | 10 Jun → | ||
| 13–10 | 0.04 | 35% | 9 Jun → | ||
| 13–10 | 0.02 | 19% | 8 Jun → | ||
| 13–6 | 0.04 | 6% | 8 Jun → | ||
| 13–8 | -0.02 | 24% | 8 Jun → | ||
| 13–7 | 0.01 | 11% | 7 Jun → | ||
| 13–7 | -0.02 | 8% | 7 Jun → | ||
| 13–2 | 0.06 | 22% | 7 Jun → | ||
| 13–8 | 0.03 | 18% | 7 Jun → | ||
| 13–1 | 0.16 | 17% | 7 Jun → | ||
| 13–6 | 0.05 | 11% | 6 Jun → | ||
| 13–1 | 0.04 | 16% | 6 Jun → | ||
| 13–5 | 0.05 | 18% | 6 Jun → | ||
| 13–5 | 0.03 | 8% | 6 Jun → | ||
| 13–5 | 0.05 | 28% | 26 May → | ||
| 10–4 | 0.06 | 23% | 26 May → | ||
| 13–5 | 0.01 | 19% | 26 May → | ||
| 13–1 | 0.07 | 36% | 26 May → | ||
| 8–1 | 0.09 | 11% | 26 May → | ||
| 10–13 | 0.09 | 23% | 26 May → | ||
| 13–8 | 0.05 | 50% | 26 May → | ||
| 13–7 | 0.03 | 29% | 26 May → | ||
| 13–5 | 0.16 | 33% | 26 May → | ||
| 16–14 | 0.02 | 16% | 24 May → | ||
| 13–6 | 0.01 | 13% | 24 May → | ||
| 13–5 | 0.14 | 10% | 24 May → | ||
| 13–6 | 0.03 | 10% | 24 May → | ||
| 13–11 | 0.06 | 6% | 24 May → | ||
| 13–9 | 0.09 | 23% | 24 May → | ||
| 13–6 | 0.14 | 11% | 23 May → | ||
| 13–3 | 0.19 | 25% | 23 May → | ||
| 13–5 | 0.06 | 23% | 23 May → | ||
| 13–11 | 0.03 | 16% | 23 May → | ||
| 13–7 | 0.10 | 15% | 23 May → | ||
| 14–16 | 0.11 | 16% | 22 May → | ||
| 13–10 | 0.05 | 13% | 22 May → | ||
| 13–4 | 0.05 | 18% | 22 May → | ||
| 13–3 | 0.06 | 16% | 22 May → | ||
| 13–3 | 0.05 | 23% | 22 May → | ||
| 13–6 | 0.08 | 17% | 22 May → | ||
| 13–4 | 0.09 | 39% | 22 May → | ||
| 9–13 | -0.06 | 25% | 22 May → | ||
| 9–13 | 0.00 | 13% | 21 May → | ||
| 13–4 | -0.04 | 4% | 21 May → | ||
| 5–13 | -0.04 | 13% | 21 May → | ||
| 13–16 | -0.01 | 25% | 20 May → | ||
| 6–13 | 0.12 | 13% | 20 May → | ||
| 11–13 | 0.16 | 18% | 20 May → | ||
| 3–13 | -0.06 | 5% | 19 May → | ||
| 11–13 | -0.06 | 16% | 19 May → | ||
| 8–5 | -0.03 | 9% | 19 May → | ||
| 4–13 | -0.05 | 10% | 18 May → | ||
| 10–13 | -0.03 | 6% | 18 May → | ||
| 3–12 | -0.00 | 14% | 18 May → | ||
| 8–13 | -0.04 | 17% | 17 May → | ||
| 13–10 | 0.01 | 36% | 17 May → | ||
| 13–5 | 0.01 | 15% | 16 May → | ||
| 7–11 | 0.03 | 26% | 16 May → | ||
| 7–13 | -0.07 | 11% | 16 May → | ||
| 13–10 | 0.05 | 16% | 16 May → | ||
| 12–5 | 0.03 | 22% | 15 May → | ||
| 16–12 | 0.03 | 24% | 15 May → | ||
| 13–5 | 0.04 | 9% | 15 May → | ||
| 13–6 | -0.03 | 19% | 15 May → | ||
| 10–13 | -0.04 | 20% | 15 May → | ||
| 13–7 | 0.07 | 22% | 14 May → |
Match data via Leetify.