someonehere27 — CS2 Stats
76561199807074661[U:1:1846808933]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 21,620
- Next: Red band at 25,000 — 3,380 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 42.4% | 48.1% |
| Shot accuracy | 0.1% | 12.9% |
| Kill/death ratio | 0.92 | 1.08 |
| Match win rate | 42.9% | 46.5% |
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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
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 b1t 91% playstyle similarity
Most alike: opening-fight frequency, 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. 610ms 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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 16 | 8–8 | 50% | 0.03 | |
| A | 15 | 9–6 | 60% | 0.03 | |
| S | 13 | 9–4 | 69% | 0.05 | |
| B | 13 | 7–6 | 54% | 0.04 | |
| B | 12 | 6–6 | 50% | 0.03 | |
| D | 10 | 2–8 | 20% | -0.00 | |
| S | 9 | 6–3 | 67% | 0.03 | |
| S | 6 | 4–2 | 67% | 0.05 | |
| S | 5 | 4–1 | 80% | 0.04 | |
| office | — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.05 | 17% | 28 Aug → | ||
| 13–6 | 0.05 | 20% | 28 Aug → | ||
| 4–11 | 0.06 | 20% | 28 Aug → | ||
| 11–13 | -0.02 | 25% | 28 Aug → | ||
| 12–12 | 0.01 | 12% | 27 Aug → | ||
| 13–8 | 0.05 | 32% | 26 Aug → | ||
| 13–7 | 0.03 | 20% | 26 Aug → | ||
| 9–13 | 0.01 | 20% | 26 Aug → | ||
| 11–13 | 0.00 | 22% | 26 Aug → | ||
| 6–13 | -0.06 | 3% | 24 Aug → | ||
| 13–10 | 0.05 | 26% | 23 Aug → | ||
| 13–6 | -0.01 | 10% | 23 Aug → | ||
| 2–13 | -0.07 | 11% | 23 Aug → | ||
| 12–12 | -0.08 | 14% | 23 Aug → | ||
| 11–13 | 0.08 | 25% | 20 Aug → | ||
| 6–13 | 0.00 | 28% | 17 Aug → | ||
| 9–13 | 0.02 | 24% | 17 Aug → | ||
| 13–3 | -0.05 | 8% | 16 Aug → | ||
| 13–8 | 0.08 | 24% | 16 Aug → | ||
| 13–8 | 0.06 | 18% | 16 Aug → | ||
| 12–3 | 0.07 | 31% | 16 Aug → | ||
| 13–3 | 0.10 | 33% | 16 Aug → | ||
| 12–12 | 0.06 | 19% | 16 Aug → | ||
| 8–13 | -0.02 | 13% | 16 Aug → | ||
| 13–4 | 0.11 | 17% | 16 Aug → | ||
| 13–11 | 0.02 | 18% | 10 Aug → | ||
| 13–10 | 0.03 | 24% | 10 Aug → | ||
| 13–10 | -0.00 | 14% | 9 Aug → | ||
| 13–9 | 0.01 | 14% | 9 Aug → | ||
| 13–9 | 0.02 | 16% | 9 Aug → | ||
| 13–1 | 0.19 | 18% | 3 Aug → | ||
| 8–13 | 0.01 | 15% | 3 Aug → | ||
| 13–11 | 0.12 | 20% | 3 Aug → | ||
| 13–7 | 0.11 | 15% | 2 Aug → | ||
| 13–8 | 0.07 | 23% | 2 Aug → | ||
| 13–2 | 0.05 | 26% | 2 Aug → | ||
| 13–10 | 0.05 | 13% | 2 Aug → | ||
| 10–13 | 0.06 | 18% | 2 Aug → | ||
| 13–10 | 0.01 | 21% | 1 Aug → | ||
| 13–3 | 0.08 | 17% | 1 Aug → | ||
| 13–11 | 0.04 | 27% | 1 Aug → | ||
| 12–12 | 0.05 | 13% | 1 Aug → | ||
| 10–13 | 0.01 | 18% | 1 Aug → | ||
| 13–10 | -0.01 | 24% | 1 Aug → | ||
| 12–12 | 0.05 | 36% | 31 Jul → | ||
| 13–8 | 0.05 | 21% | 31 Jul → | ||
| 13–9 | 0.08 | 10% | 28 Jul → | ||
| 8–13 | -0.02 | 14% | 28 Jul → | ||
| 13–6 | 0.08 | 18% | 27 Jul → | ||
| office | 13–6 | 0.00 | 13% | 27 Jul → | |
| 12–12 | 0.03 | 25% | 27 Jul → | ||
| 13–4 | 0.04 | 32% | 27 Jul → | ||
| 15–15 | 0.02 | 26% | 27 Jul → | ||
| 5–13 | 0.00 | 21% | 27 Jul → | ||
| 13–3 | 0.06 | 21% | 27 Jul → | ||
| 5–13 | 0.01 | 20% | 27 Jul → | ||
| 5–13 | 0.01 | 16% | 27 Jul → | ||
| 13–7 | 0.16 | 17% | 25 Jul → | ||
| 16–13 | 0.03 | 24% | 25 Jul → | ||
| 8–13 | -0.02 | 26% | 25 Jul → | ||
| 13–5 | 0.02 | 26% | 25 Jul → | ||
| 12–12 | 0.03 | 18% | 23 Jul → | ||
| 13–7 | 0.06 | 20% | 23 Jul → | ||
| 13–8 | -0.07 | 19% | 23 Jul → | ||
| 6–13 | -0.02 | 38% | 23 Jul → | ||
| 13–4 | -0.00 | 24% | 23 Jul → | ||
| 12–12 | -0.06 | 10% | 22 Jul → | ||
| 11–13 | -0.02 | 25% | 20 Jul → | ||
| 13–8 | -0.02 | 19% | 20 Jul → | ||
| 13–5 | 0.04 | 14% | 9 Jul → | ||
| 13–2 | 0.07 | 14% | 7 Jul → | ||
| 12–2 | 0.07 | 21% | 7 Jul → | ||
| 13–9 | 0.01 | 8% | 6 Jul → | ||
| 13–5 | 0.14 | 21% | 6 Jul → | ||
| 7–13 | 0.11 | 23% | 6 Jul → | ||
| 4–13 | -0.01 | 14% | 6 Jul → | ||
| 11–13 | 0.12 | 22% | 6 Jul → | ||
| 9–3 | 0.07 | 24% | 6 Jul → | ||
| 7–13 | 0.00 | 15% | 6 Jul → | ||
| 0–2 | -0.06 | 0% | 6 Jul → | ||
| 12–12 | 0.06 | 22% | 5 Jul → | ||
| 5–13 | -0.04 | 17% | 4 Jul → | ||
| 6–13 | 0.04 | 11% | 4 Jul → | ||
| 13–9 | 0.06 | 29% | 4 Jul → | ||
| 9–6 | 0.10 | 23% | 4 Jul → | ||
| 13–7 | 0.04 | 17% | 3 Jul → | ||
| 13–7 | 0.05 | 16% | 3 Jul → | ||
| 8–13 | 0.02 | 26% | 3 Jul → | ||
| 12–12 | -0.06 | 17% | 3 Jul → | ||
| 7–13 | 0.01 | 21% | 3 Jul → | ||
| 13–8 | 0.05 | 26% | 3 Jul → | ||
| 10–13 | -0.02 | 20% | 29 Jun → | ||
| 7–13 | -0.02 | 20% | 29 Jun → | ||
| 13–5 | -0.02 | 10% | 29 Jun → | ||
| 13–4 | 0.18 | 17% | 28 Jun → | ||
| 13–5 | 0.04 | 16% | 28 Jun → | ||
| 13–8 | 0.07 | 16% | 26 Jun → | ||
| 13–9 | 0.02 | 19% | 23 Jun → | ||
| 13–6 | 0.08 | 18% | 23 Jun → | ||
| 9–13 | -0.03 | 17% | 23 Jun → |
Match data via Leetify.