LppGBubblez — CS2 Stats
76561199886281945[U:1:1926016217]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp 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 51% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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. 788ms 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 1.8/10 (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 73 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 |
|---|---|---|---|---|---|
 dust2 | D | 16 | 4–12 | 25% | -0.07 |
 train | D | 11 | 1–10 | 9% | -0.07 |
 ancient | D | 8 | 2–6 | 25% | -0.08 |
 inferno | D | 7 | 0–7 | 0% | -0.08 |
| office | D | 6 | 1–5 | 17% | -0.07 |
 anubis | C | 5 | 2–3 | 40% | -0.06 |
 mirage | D | 5 | 1–4 | 20% | -0.07 |
 nuke | — | 4 | 1–3 | 25% | -0.09 |
 cache | — | 4 | 2–2 | 50% | -0.06 |
 overpass | — | 3 | 0–3 | 0% | -0.09 |
| alpine | — | 1 | 1–0 | 100% | -0.04 |
| agency | — | 1 | 0–1 | 0% | -0.09 |
 vertigo | — | 1 | 1–0 | 100% | -0.07 |
| jura | — | 1 | 1–0 | 100% | -0.09 |
Across the last 73 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
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 13.7108° — 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 8.4059% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 788.0644ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 13–2 | -0.05 | 0% | 11 Jul → | |
| nuke | 13–11 | -0.12 | 6% | 11 Jul → | |
| mirage | 12–12 | -0.08 | 6% | 16 Jun → | |
| inferno | 6–13 | -0.03 | 11% | 12 Jun → | |
| inferno | 12–12 | -0.03 | 7% | 21 May → | |
| cache | 12–12 | -0.04 | 8% | 15 May → | |
| office | 6–13 | -0.12 | 3% | 15 May → | |
| office | 13–3 | -0.03 | 8% | 15 May → | |
| dust2 | 13–6 | -0.07 | 14% | 15 May → | |
| office | 5–13 | -0.08 | 3% | 13 May → | |
| office | 6–13 | -0.08 | 8% | 13 May → | |
| office | 2–7 | -0.06 | 0% | 13 May → | |
| train | 2–13 | -0.08 | 8% | 12 May → | |
| cache | 3–13 | -0.05 | 13% | 10 May → | |
| cache | 13–4 | -0.05 | 11% | 6 May → | |
| cache | 13–11 | -0.10 | 26% | 6 May → | |
| nuke | 7–13 | -0.10 | 0% | 23 Apr → | |
| ancient | 13–0 | -0.08 | 0% | 23 Apr → | |
| anubis | 8–13 | -0.05 | 14% | 23 Apr → | |
| inferno | 8–13 | -0.09 | 15% | 23 Apr → | |
| dust2 | 1–13 | -0.09 | 0% | 23 Apr → | |
| train | 13–6 | -0.09 | 8% | 23 Apr → | |
| train | 1–13 | -0.10 | 23% | 23 Apr → | |
| train | 5–13 | -0.07 | 10% | 23 Apr → | |
| train | 4–13 | -0.10 | 9% | 22 Apr → | |
| train | 7–13 | -0.03 | 11% | 22 Apr → | |
| train | 10–13 | -0.01 | 8% | 22 Apr → | |
| train | 6–13 | -0.11 | 5% | 14 Apr → | |
| anubis | 6–13 | -0.06 | 6% | 12 Apr → | |
| office | 6–13 | -0.05 | 2% | 12 Apr → | |
| ancient | 1–13 | -0.08 | 9% | 28 Mar → | |
| dust2 | 10–13 | -0.10 | 8% | 28 Mar → | |
| overpass | 7–13 | -0.11 | 3% | 14 Mar → | |
| overpass | 10–13 | -0.09 | 10% | 11 Mar → | |
| overpass | 4–13 | -0.06 | 17% | 11 Mar → | |
| mirage | 13–11 | -0.07 | 3% | 10 Mar → | |
| dust2 | 5–13 | -0.05 | 4% | 10 Mar → | |
| inferno | 4–13 | -0.12 | 0% | 29 Jan → | |
| dust2 | 5–13 | -0.07 | 9% | 29 Jan → | |
| train | 6–13 | -0.04 | 3% | 29 Jan → | |
| anubis | 8–13 | -0.06 | 5% | 28 Jan → | |
| nuke | 3–13 | -0.03 | 16% | 28 Jan → | |
| dust2 | 6–13 | -0.11 | 0% | 28 Jan → | |
| ancient | 13–8 | -0.02 | 20% | 27 Jan → | |
| dust2 | 4–13 | -0.12 | 9% | 27 Jan → | |
| ancient | 3–13 | -0.07 | 0% | 26 Jan → | |
| alpine | 13–11 | -0.04 | 7% | 26 Jan → | |
| inferno | 10–13 | -0.10 | 0% | 26 Jan → | |
| dust2 | 2–13 | -0.07 | 0% | 25 Jan → | |
| ancient | 1–13 | -0.04 | 11% | 25 Jan → | |
| mirage | 6–13 | -0.07 | 10% | 25 Jan → | |
| dust2 | 1–13 | -0.08 | 9% | 25 Jan → | |
| mirage | 1–13 | -0.02 | 4% | 25 Jan → | |
| train | 4–13 | -0.07 | 0% | 25 Jan → | |
| inferno | 12–12 | -0.09 | 20% | 24 Jan → | |
| agency | 0–13 | -0.09 | 0% | 2 Jan → | |
| mirage | 8–13 | -0.10 | 6% | 31 Dec → | |
| dust2 | 10–13 | -0.08 | 10% | 31 Dec → | |
| ancient | 11–13 | -0.06 | 13% | 29 Dec → | |
| dust2 | 13–6 | 0.01 | 10% | 29 Dec → | |
| dust2 | 13–4 | -0.06 | 10% | 28 Dec → | |
| nuke | 1–13 | -0.09 | 0% | 28 Dec → | |
| inferno | 2–13 | -0.07 | 14% | 28 Dec → | |
| dust2 | 8–13 | -0.08 | 10% | 26 Dec → | |
| ancient | 10–13 | -0.14 | 9% | 26 Dec → | |
| train | 6–13 | -0.11 | 6% | 3 Dec → | |
| dust2 | 13–7 | -0.11 | 0% | 23 Sept → | |
| ancient | 2–13 | -0.14 | 11% | 31 Aug → | |
| dust2 | 0–9 | -0.07 | 0% | 30 Aug → | |
| dust2 | 5–13 | -0.07 | 13% | 26 Aug → | |
| vertigo | 13–11 | -0.07 | 13% | 26 Aug → | |
| jura | 13–7 | -0.09 | 12% | 25 Aug → | |
| anubis | 13–6 | -0.09 | 3% | 22 Aug → |
Match data via Leetify.
