lobsta — CS2 Stats
US76561199535625048[U:1:1575359320]Steam profile ↗✓ No bans
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 | 35.5% | 41.7% | 44.1% | 8.5% short |
| Shot accuracy | 4.9% | 8.8% | 11.4% | 6.5% short |
| Kill/death ratio | 0.87 | 0.97 | 1.03 | 0.16 short |
| Match win rate | 45.7% | 43.8% | 45.2% | meets |
This profile matches the typical Purple band player on 1 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp 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 device 85% playstyle similarity
Most alike: positioning profile, utility contribution.
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
Areas to improve
Reaction time. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 66% 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 4.9/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 57 | 32–25 | 56% | -0.01 | |
| A | 33 | 21–12 | 64% | 0.01 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| — | 2 | 1–1 | 50% | -0.04 | |
| — | 1 | 1–0 | 100% | -0.07 | |
| — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (56% over 57). 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.
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 12.0278° — above the 12° mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.01 | 6% | 26 Aug → | ||
| 13–10 | -0.01 | 20% | 26 Aug → | ||
| 13–7 | 0.00 | 11% | 25 Aug → | ||
| 13–5 | -0.01 | 21% | 25 Aug → | ||
| 13–6 | -0.06 | 24% | 22 Aug → | ||
| 13–11 | 0.08 | 16% | 22 Aug → | ||
| 13–10 | -0.01 | 23% | 19 Aug → | ||
| 12–12 | 0.02 | 9% | 19 Aug → | ||
| 13–11 | 0.00 | 15% | 18 Aug → | ||
| 12–12 | 0.01 | 16% | 18 Aug → | ||
| 13–6 | 0.07 | 17% | 18 Aug → | ||
| 13–4 | -0.04 | 13% | 18 Aug → | ||
| 13–10 | 0.03 | 5% | 17 Aug → | ||
| 7–13 | 0.00 | 16% | 17 Aug → | ||
| 13–11 | -0.04 | 18% | 17 Aug → | ||
| 7–13 | -0.05 | 17% | 17 Aug → | ||
| 13–10 | 0.01 | 16% | 17 Aug → | ||
| 8–13 | -0.06 | 8% | 17 Aug → | ||
| 13–4 | 0.02 | 24% | 17 Aug → | ||
| 9–11 | -0.03 | 13% | 16 Aug → | ||
| 11–0 | -0.02 | 20% | 16 Aug → | ||
| 13–7 | 0.01 | 12% | 16 Aug → | ||
| 13–11 | -0.04 | 12% | 16 Aug → | ||
| 13–5 | 0.06 | 18% | 16 Aug → | ||
| 13–11 | -0.01 | 15% | 16 Aug → | ||
| 9–13 | 0.06 | 17% | 16 Aug → | ||
| 13–3 | -0.03 | 6% | 15 Aug → | ||
| 13–7 | 0.03 | 20% | 15 Aug → | ||
| 5–13 | -0.07 | 15% | 14 Aug → | ||
| 13–4 | -0.01 | 13% | 14 Aug → | ||
| 9–13 | 0.00 | 19% | 14 Aug → | ||
| 10–1 | -0.04 | 20% | 14 Aug → | ||
| 13–2 | 0.04 | 22% | 14 Aug → | ||
| 12–12 | -0.04 | 7% | 13 Aug → | ||
| 13–11 | 0.01 | 14% | 13 Aug → | ||
| 7–13 | -0.06 | 5% | 12 Aug → | ||
| 13–6 | -0.03 | 11% | 12 Aug → | ||
| 0–7 | -0.05 | 0% | 12 Aug → | ||
| 13–7 | 0.05 | 17% | 11 Aug → | ||
| 6–13 | 0.02 | 15% | 10 Aug → | ||
| 13–6 | 0.14 | 18% | 10 Aug → | ||
| 12–12 | -0.02 | 9% | 10 Aug → | ||
| 13–11 | 0.02 | 20% | 10 Aug → | ||
| 12–12 | 0.03 | 11% | 10 Aug → | ||
| 5–13 | -0.01 | 6% | 10 Aug → | ||
| 10–13 | -0.03 | 13% | 10 Aug → | ||
| 13–7 | -0.02 | 5% | 10 Aug → | ||
| 13–5 | 0.04 | 22% | 9 Aug → | ||
| 5–13 | -0.02 | 11% | 9 Aug → | ||
| 8–13 | -0.04 | 12% | 9 Aug → | ||
| 5–13 | -0.00 | 8% | 9 Aug → | ||
| 13–11 | -0.02 | 14% | 9 Aug → | ||
| 9–13 | -0.03 | 11% | 8 Aug → | ||
| 2–9 | 0.05 | 6% | 8 Aug → | ||
| 9–13 | -0.03 | 12% | 7 Aug → | ||
| 13–5 | 0.01 | 13% | 7 Aug → | ||
| 13–6 | 0.05 | 13% | 7 Aug → | ||
| 13–10 | -0.03 | 7% | 6 Aug → | ||
| 13–10 | -0.01 | 8% | 5 Aug → | ||
| 7–13 | -0.05 | 11% | 5 Aug → | ||
| 13–10 | -0.00 | 12% | 5 Aug → | ||
| 13–2 | 0.08 | 8% | 5 Aug → | ||
| 11–7 | 0.03 | 11% | 5 Aug → | ||
| 13–5 | -0.01 | 16% | 5 Aug → | ||
| 12–12 | 0.05 | 11% | 3 Aug → | ||
| 13–9 | 0.05 | 14% | 3 Aug → | ||
| 13–10 | 0.03 | 14% | 3 Aug → | ||
| 7–13 | -0.06 | 12% | 3 Aug → | ||
| 6–13 | -0.05 | 16% | 2 Aug → | ||
| 13–9 | 0.03 | 16% | 2 Aug → | ||
| 6–13 | -0.04 | 17% | 2 Aug → | ||
| 13–6 | -0.07 | 8% | 2 Aug → | ||
| 13–5 | 0.08 | 16% | 2 Aug → | ||
| 13–3 | -0.01 | 15% | 2 Aug → | ||
| 11–13 | 0.05 | 17% | 2 Aug → | ||
| 1–13 | -0.04 | 8% | 1 Aug → | ||
| 9–13 | -0.02 | 7% | 1 Aug → | ||
| 13–3 | 0.09 | 8% | 1 Aug → | ||
| 13–9 | -0.07 | 15% | 1 Aug → | ||
| 13–11 | 0.01 | 9% | 1 Aug → | ||
| 4–13 | -0.03 | 14% | 1 Aug → | ||
| 8–13 | 0.03 | 13% | 1 Aug → | ||
| 6–13 | -0.05 | 8% | 1 Aug → | ||
| 13–9 | 0.01 | 13% | 1 Aug → | ||
| 7–13 | -0.01 | 16% | 31 Jul → | ||
| 8–13 | -0.04 | 9% | 31 Jul → | ||
| 13–2 | -0.01 | 13% | 30 Jul → | ||
| 10–13 | -0.06 | 9% | 30 Jul → | ||
| 2–13 | -0.06 | 2% | 29 Jul → | ||
| 13–11 | -0.01 | 18% | 29 Jul → | ||
| 11–13 | -0.01 | 18% | 29 Jul → | ||
| 11–13 | -0.00 | 12% | 29 Jul → | ||
| 13–5 | 0.10 | 15% | 29 Jul → | ||
| 12–12 | -0.11 | 8% | 29 Jul → | ||
| 13–0 | 0.00 | 10% | 29 Jul → | ||
| 8–13 | -0.01 | 17% | 28 Jul → | ||
| 13–9 | -0.06 | 10% | 28 Jul → | ||
| 12–12 | -0.03 | 12% | 27 Jul → | ||
| 13–2 | 0.02 | 20% | 27 Jul → | ||
| 13–9 | 0.05 | 10% | 27 Jul → |
Match data via Leetify.