Lobsterlover — CS2 Stats
76561198381534939[U:1:421269211]✓ No bans
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: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 device 87% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 623ms 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 6.2/10 (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 | 28 | 15–13 | 54% | 0.02 | |
| B | 19 | 9–10 | 47% | 0.01 | |
| B | 19 | 9–10 | 47% | 0.01 | |
| A | 14 | 9–5 | 64% | 0.06 | |
| A | 10 | 6–4 | 60% | 0.05 | |
| — | 4 | 1–3 | 25% | 0.00 | |
| — | 3 | 0–3 | 0% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Dust 2 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 5 | 80% | 1.72 | 22.0 |
| Dust2 | 2 | 50% | 1.43 | 14.0 |
| Anubis | 2 | 50% | 1.10 | 12.5 |
| Nuke | 1 | 0% | 1.28 | 23.0 |
| Mirage | 1 | 100% | 1.65 | 28.0 |
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.
- 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 0.4826 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | 0.02 | 21% | 12 Jan → | ||
| 6–13 | -0.05 | 14% | 12 Jan → | ||
| 13–8 | -0.04 | 42% | 10 Jan → | ||
| 13–6 | 0.06 | 28% | 9 Jan → | ||
| 13–11 | 0.04 | 12% | 3 Aug → | ||
| 9–13 | -0.04 | 29% | 12 Jun → | ||
| 14–16 | 0.04 | 17% | 30 May → | ||
| 10–13 | -0.05 | 11% | 30 May → | ||
| 9–13 | 0.01 | 9% | 28 May → | ||
| 12–12 | 0.05 | 24% | 28 May → | ||
| 15–15 | -0.01 | 13% | 13 May → | ||
| 6–13 | -0.06 | 12% | 13 May → | ||
| 7–13 | -0.03 | 22% | 18 Apr → | ||
| 13–7 | 0.03 | 13% | 16 Apr → | ||
| 13–5 | 0.01 | 13% | 14 Apr → | ||
| 10–1 | 0.07 | 24% | 14 Apr → | ||
| 11–13 | 0.05 | 14% | 13 Apr → | ||
| 13–6 | 0.10 | 16% | 13 Apr → | ||
| 11–13 | 0.02 | 16% | 12 Apr → | ||
| 6–13 | -0.05 | 14% | 12 Apr → | ||
| 13–10 | 0.04 | 21% | 12 Apr → | ||
| 13–4 | 0.08 | 15% | 12 Apr → | ||
| 6–13 | -0.01 | 18% | 12 Apr → | ||
| 13–11 | 0.04 | 18% | 12 Apr → | ||
| 13–5 | 0.12 | 9% | 11 Apr → | ||
| 8–13 | -0.03 | 17% | 11 Apr → | ||
| 0–8 | -0.07 | 0% | 11 Apr → | ||
| 8–13 | -0.01 | 21% | 17 Jan → | ||
| 16–12 | 0.08 | 14% | 13 Jan → | ||
| 13–8 | 0.07 | 18% | 13 Jan → | ||
| 4–13 | -0.05 | 27% | 8 Jan → | ||
| 0–8 | -0.02 | 8% | 7 Jan → | ||
| 13–9 | 0.00 | 18% | 7 Jan → | ||
| 13–5 | 0.06 | 22% | 7 Jan → | ||
| 13–9 | 0.03 | 26% | 6 Jan → | ||
| 8–13 | -0.07 | 23% | 6 Jan → | ||
| 11–13 | -0.01 | 6% | 6 Jan → | ||
| 7–5 | 0.04 | 11% | 3 Jan → | ||
| 13–8 | 0.00 | 21% | 3 Jan → | ||
| 11–13 | -0.02 | 15% | 2 Jan → | ||
| 15–15 | 0.02 | 13% | 2 Jan → | ||
| 13–6 | 0.12 | 21% | 2 Jan → | ||
| 10–13 | -0.05 | 18% | 30 Dec → | ||
| 13–9 | 0.03 | 15% | 30 Dec → | ||
| 13–8 | 0.08 | 25% | 28 Dec → | ||
| 13–7 | 0.06 | 14% | 18 Dec → | ||
| 9–13 | -0.00 | 15% | 18 Dec → | ||
| 5–13 | 0.01 | 15% | 17 Dec → | ||
| 12–16 | 0.07 | 21% | 16 Dec → | ||
| 13–11 | -0.03 | 6% | 16 Dec → | ||
| 6–13 | -0.07 | 16% | 14 Aug → | ||
| 9–13 | 0.07 | 20% | 10 Jul → | ||
| 13–4 | 0.15 | 19% | 10 Jul → | ||
| 10–13 | 0.12 | 24% | 10 Jul → | ||
| 13–10 | 0.18 | 12% | 3 Jul → | ||
| 16–13 | 0.02 | 11% | 1 Jul → | ||
| 2–13 | -0.10 | 4% | 1 Jul → | ||
| 4–13 | -0.08 | 20% | 23 Jun → | ||
| 13–5 | 0.01 | 24% | 23 Jun → | ||
| 15–15 | -0.01 | 17% | 20 Jun → | ||
| 7–13 | 0.01 | 28% | 20 Jun → | ||
| 13–6 | -0.03 | 12% | 20 Jun → | ||
| 13–4 | 0.01 | 17% | 20 Jun → | ||
| 8–13 | -0.01 | 25% | 16 Jun → | ||
| 13–6 | 0.04 | 12% | 11 Jun → | ||
| 13–11 | 0.06 | 12% | 11 Jun → | ||
| 4–13 | 0.06 | 18% | 11 Jun → | ||
| 19–17 | 0.06 | 23% | 11 Jun → | ||
| 13–10 | 0.03 | 18% | 11 Jun → | ||
| 8–13 | 0.00 | 17% | 10 Jun → | ||
| 13–8 | 0.05 | 19% | 10 Jun → | ||
| 3–13 | 0.09 | 21% | 9 Jun → | ||
| 2–4 | -0.05 | 9% | 7 Jun → | ||
| 15–15 | 0.03 | 15% | 6 Jun → | ||
| 13–6 | 0.05 | 11% | 6 Jun → | ||
| 13–10 | 0.10 | 23% | 6 Jun → | ||
| 5–13 | -0.01 | 9% | 4 Jun → | ||
| 13–9 | 0.19 | 16% | 4 Jun → | ||
| 8–13 | -0.01 | 18% | 4 Jun → | ||
| 13–9 | 0.05 | 16% | 3 Jun → | ||
| 10–13 | -0.05 | 16% | 2 Jun → | ||
| 6–13 | -0.03 | 14% | 2 Jun → | ||
| 10–13 | 0.01 | 13% | 31 May → | ||
| 13–7 | 0.10 | 12% | 31 May → | ||
| 3–13 | 0.00 | 31% | 31 May → | ||
| 13–5 | 0.01 | 24% | 30 May → | ||
| 4–13 | -0.06 | 13% | 30 May → | ||
| 13–5 | 0.11 | 19% | 30 May → | ||
| 13–7 | -0.02 | 24% | 30 May → | ||
| 13–7 | 0.07 | 8% | 30 May → | ||
| 11–13 | -0.03 | 11% | 29 May → | ||
| 13–1 | 0.23 | 19% | 29 May → | ||
| 6–13 | 0.07 | 14% | 29 May → | ||
| 13–7 | 0.05 | 18% | 29 May → | ||
| 13–9 | 0.04 | 15% | 29 May → | ||
| 13–11 | -0.01 | 16% | 29 May → | ||
| 13–11 | 0.01 | 17% | 29 May → | ||
| 4–13 | 0.01 | 23% | 29 May → | ||
| 13–8 | 0.03 | 15% | 29 May → | ||
| 13–10 | 0.04 | 25% | 29 May → |
Match data via Leetify.