lizardpeter — CS2 Stats
76561198136909946[U:1:176644218]
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: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong CT-side openerLimited 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 81% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; 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
CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 70% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 553ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.5/10 (Solid), 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 | 99 | 46–53 | 46% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
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 13.3059% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.164 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.03 | 14% | 14 Jun → | ||
| 13–6 | 0.10 | 22% | 14 Jun → | ||
| 13–9 | 0.02 | 12% | 14 Jun → | ||
| 13–2 | 0.08 | 20% | 14 Jun → | ||
| 1–13 | 0.03 | 16% | 14 Jun → | ||
| 13–6 | 0.10 | 11% | 14 Jun → | ||
| 13–5 | 0.07 | 15% | 14 Jun → | ||
| 6–13 | 0.02 | 11% | 14 Jun → | ||
| 5–13 | -0.05 | 10% | 14 Jun → | ||
| 4–13 | -0.03 | 17% | 14 Jun → | ||
| 8–13 | -0.04 | 17% | 13 Jun → | ||
| 13–5 | 0.07 | 6% | 13 Jun → | ||
| 3–13 | 0.03 | 14% | 13 Jun → | ||
| 13–5 | 0.06 | 7% | 13 Jun → | ||
| 13–8 | 0.06 | 25% | 31 May → | ||
| 10–13 | 0.04 | 13% | 31 May → | ||
| 10–3 | 0.00 | 10% | 31 May → | ||
| 4–13 | 0.03 | 8% | 30 May → | ||
| 12–12 | 0.00 | 9% | 30 May → | ||
| 3–13 | -0.08 | 9% | 30 May → | ||
| 13–2 | 0.07 | 5% | 30 May → | ||
| 5–13 | -0.07 | 13% | 30 May → | ||
| 13–8 | 0.02 | 10% | 29 May → | ||
| 12–12 | 0.03 | 19% | 29 May → | ||
| 9–13 | 0.01 | 15% | 29 May → | ||
| 13–3 | 0.02 | 14% | 29 May → | ||
| 6–13 | 0.02 | 16% | 29 May → | ||
| 13–8 | 0.05 | 9% | 29 May → | ||
| 9–13 | -0.01 | 13% | 29 May → | ||
| 13–10 | 0.10 | 17% | 29 May → | ||
| 4–0 | 0.05 | 0% | 29 May → | ||
| 13–7 | 0.14 | 13% | 3 May → | ||
| 9–13 | 0.12 | 3% | 3 May → | ||
| 5–7 | 0.08 | 14% | 3 May → | ||
| 13–6 | -0.00 | 13% | 2 May → | ||
| 10–13 | -0.03 | 23% | 2 May → | ||
| 9–13 | 0.01 | 13% | 2 May → | ||
| 13–10 | 0.09 | 8% | 12 Apr → | ||
| 7–13 | 0.07 | 11% | 11 Apr → | ||
| 13–8 | 0.14 | 17% | 11 Apr → | ||
| 13–10 | 0.07 | 13% | 11 Apr → | ||
| 13–8 | 0.06 | 13% | 4 Apr → | ||
| 13–5 | 0.04 | 0% | 3 Apr → | ||
| 13–7 | 0.05 | 12% | 3 Apr → | ||
| 13–6 | 0.13 | 8% | 3 Apr → | ||
| 9–13 | 0.03 | 18% | 29 Mar → | ||
| 13–11 | 0.01 | 7% | 29 Mar → | ||
| 8–13 | 0.09 | 5% | 29 Mar → | ||
| 13–5 | 0.05 | 4% | 29 Mar → | ||
| 6–13 | 0.03 | 8% | 28 Mar → | ||
| 9–13 | 0.04 | 22% | 19 Mar → | ||
| 11–13 | 0.00 | 12% | 15 Mar → | ||
| 13–11 | -0.02 | 6% | 15 Mar → | ||
| 9–13 | 0.02 | 13% | 11 Mar → | ||
| 6–13 | 0.02 | 8% | 11 Mar → | ||
| 3–13 | -0.01 | 16% | 10 Mar → | ||
| 2–13 | -0.05 | 16% | 6 Mar → | ||
| 5–13 | 0.04 | 6% | 6 Mar → | ||
| 11–13 | 0.02 | 13% | 6 Mar → | ||
| 10–13 | 0.00 | 19% | 5 Mar → | ||
| 12–12 | 0.02 | 22% | 26 Feb → | ||
| 0–7 | 0.07 | 43% | 26 Feb → | ||
| 11–13 | -0.00 | 10% | 24 Feb → | ||
| 1–13 | -0.03 | 17% | 24 Feb → | ||
| 13–11 | 0.08 | 17% | 20 Feb → | ||
| 13–8 | 0.01 | 0% | 19 Feb → | ||
| 13–1 | 0.06 | 5% | 19 Feb → | ||
| 13–10 | 0.08 | 6% | 17 Feb → | ||
| 10–13 | 0.06 | 6% | 17 Feb → | ||
| 13–7 | 0.02 | 9% | 17 Feb → | ||
| 13–8 | 0.04 | 5% | 17 Feb → | ||
| 13–4 | 0.12 | 21% | 16 Feb → | ||
| 13–11 | 0.06 | 3% | 15 Feb → | ||
| 12–12 | 0.04 | 7% | 15 Feb → | ||
| 9–13 | 0.04 | 8% | 15 Feb → | ||
| 8–13 | -0.05 | 5% | 11 Feb → | ||
| 13–10 | -0.01 | 28% | 11 Feb → | ||
| 6–13 | -0.00 | 14% | 3 Feb → | ||
| 3–10 | 0.00 | 5% | 31 Jan → | ||
| 2–9 | -0.05 | 5% | 31 Jan → | ||
| 12–12 | 0.12 | 14% | 31 Jan → | ||
| 13–6 | 0.11 | 4% | 31 Jan → | ||
| 4–13 | -0.07 | 8% | 31 Jan → | ||
| 11–4 | -0.00 | 8% | 29 Jan → | ||
| 13–7 | 0.05 | 16% | 29 Jan → | ||
| 13–9 | 0.05 | 18% | 25 Jan → | ||
| 13–9 | 0.10 | 11% | 25 Jan → | ||
| 8–13 | -0.01 | 13% | 25 Jan → | ||
| 3–13 | 0.01 | 6% | 21 Jan → | ||
| 5–13 | -0.07 | 7% | 21 Jan → | ||
| 8–13 | -0.00 | 13% | 14 Jan → | ||
| 11–13 | -0.02 | 3% | 12 Jan → | ||
| 8–13 | -0.02 | 17% | 10 Jan → | ||
| 10–13 | 0.08 | 17% | 10 Jan → | ||
| 12–12 | 0.00 | 11% | 10 Jan → | ||
| 7–5 | -0.08 | 38% | 4 Jan → | ||
| 13–4 | -0.02 | 23% | 4 Jan → | ||
| 13–2 | 0.03 | 8% | 4 Jan → | ||
| 13–3 | -0.01 | 8% | 4 Jan → | ||
| 8–2 | 0.01 | 0% | 4 Jan → |
Match data via Leetify.