xxxx — CS2 Stats
LI76561199014942938[U:1:1054677210]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 22 Oct 2026 (23 days ago). Ranks are recorded once per day this page is viewed.
No change since then — still 74 tracked matches. Play, then come back: the next observation lands here.
Rating over time
Premier CS Rating
- 5,417 below peak (13,022)
- -119 over 30 days · steady
- Next: Blue band at 10,000 — 2,395 to go
- Reached: Blue band · Light Blue band
- Light Blue band first seen 2026-10-22
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 47.3% | 39.9% | 42.0% | above |
| Shot accuracy | 17.3% | 7.0% | 9.6% | above |
| Kill/death ratio | 1.24 | 0.92 | 0.98 | above |
| Match win rate | 54.6% | 42.3% | 43.8% | above |
Across every metric we can compare, this profile already matches the typical Blue band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −6.3pp headshot accuracy · −41ms reaction
Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.
Last 5 · 10 · 20 matches
Last 5
- 2–3 · 40% win rate
- Avg rating 0.02
- Avg headshot accuracy 32%
- Avg reaction 505ms
Last 10
- 6–4 · 60% win rate
- Avg rating 0.04
- Avg headshot accuracy 39%
- Avg reaction 512ms
Last 20
- 13–7 · 65% win rate
- Avg rating 0.06
- Avg headshot accuracy 42%
- Avg reaction 533ms
Newest first, from the last 73 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: Opening Duellist — Winning opening duels is what stands out in this profile (+0.9 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.
Sharp aimerExcellent 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.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like s1mple 89% playstyle similarity
Most alike: aim profile, opening-duel success.
Where you differ: 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
Aim. Aim score of 97 — the mechanical foundation is a clear strength.
CT openings. 62% 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.
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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.90 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.
Personal bests
Across the last 73 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 mirage | B | 36 | 19–17 | 53% | 0.05 |
 nuke | C | 9 | 4–5 | 44% | 0.02 |
 ancient | B | 8 | 4–4 | 50% | 0.06 |
 dust2 | S | 8 | 6–2 | 75% | 0.04 |
 anubis | — | 4 | 1–3 | 25% | -0.00 |
 inferno | — | 3 | 1–2 | 33% | 0.08 |
 cache | — | 2 | 2–0 | 100% | 0.07 |
 train | — | 2 | 1–1 | 50% | -0.00 |
 vertigo | — | 1 | 0–1 | 0% | -0.06 |
Across the last 73 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Nuke 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.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 4–13 | -0.07 | 32% | 25 Sept → | |
| ancient | 2–10 | -0.06 | 57% | 21 Sept → | |
| mirage | 13–16 | 0.04 | 30% | 19 Sept → | |
| mirage | 16–14 | 0.05 | 25% | 17 Sept → | |
| ancient | 13–11 | 0.12 | 18% | 17 Sept → | |
| mirage | 13–0 | -0.05 | 67% | 16 Sept → | |
| cache | 13–5 | 0.03 | 71% | 15 Sept → | |
| inferno | 8–13 | 0.08 | 31% | 14 Sept → | |
| mirage | 13–9 | 0.04 | 27% | 14 Sept → | |
| mirage | 13–2 | 0.17 | 31% | 14 Sept → | |
| cache | 13–3 | 0.11 | 33% | 9 Sept → | |
| anubis | 13–7 | 0.08 | 40% | 9 Sept → | |
| mirage | 13–10 | 0.01 | 27% | 9 Sept → | |
| mirage | 5–13 | 0.11 | 18% | 8 Sept → | |
| mirage | 1–8 | 0.02 | 100% | 7 Sept → | |
| ancient | 13–1 | 0.21 | 39% | 7 Sept → | |
| dust2 | 13–4 | 0.13 | 25% | 6 Sept → | |
| dust2 | 13–0 | 0.10 | 38% | 6 Sept → | |
| dust2 | 13–7 | 0.04 | 31% | 6 Sept → | |
| mirage | 5–13 | 0.03 | 100% | 27 Aug → | |
| anubis | 12–16 | 0.07 | 25% | 27 Aug → | |
| dust2 | 14–16 | -0.01 | 41% | 27 Aug → | |
| nuke | 4–13 | -0.04 | 33% | 25 Jul → | |
| mirage | 13–11 | 0.00 | 33% | 28 May → | |
| dust2 | 13–9 | 0.00 | 0% | 27 May → | |
| ancient | 11–13 | 0.08 | 18% | 1 May → | |
| anubis | 9–13 | 0.03 | 26% | 15 Apr → | |
| ancient | 13–1 | 0.11 | 35% | 10 Feb → | |
| mirage | 16–13 | 0.01 | 32% | 10 Feb → | |
| mirage | 13–5 | 0.08 | 22% | 10 Feb → | |
| mirage | 13–5 | 0.06 | 36% | 9 Feb → | |
| inferno | 13–3 | 0.22 | 21% | 9 Feb → | |
| mirage | 4–13 | 0.02 | 34% | 9 Feb → | |
| ancient | 13–11 | 0.14 | 27% | 9 Feb → | |
| mirage | 13–5 | 0.13 | 34% | 9 Feb → | |
| dust2 | 13–9 | 0.15 | 24% | 9 Feb → | |
| inferno | 7–9 | -0.06 | 29% | 8 Feb → | |
| ancient | 4–5 | -0.06 | 13% | 5 Feb → | |
| mirage | 9–13 | -0.02 | 32% | 5 Feb → | |
| nuke | 13–6 | 0.04 | 30% | 19 Dec → | |
| mirage | 11–13 | 0.09 | 15% | 12 Oct → | |
| mirage | 6–13 | 0.09 | 15% | 12 Oct → | |
| ancient | 6–13 | -0.03 | 22% | 23 Aug → | |
| nuke | 13–6 | -0.02 | 21% | 23 Aug → | |
| dust2 | 6–13 | -0.05 | 22% | 19 Aug → | |
| mirage | 4–10 | 0.05 | 25% | 15 May → | |
| train | 16–12 | -0.00 | 20% | 7 May → | |
| nuke | 13–10 | 0.10 | 25% | 6 May → | |
| nuke | 8–13 | 0.01 | 19% | 6 May → | |
| nuke | 11–11 | -0.02 | 14% | 14 Apr → | |
| mirage | 13–1 | -0.04 | 14% | 9 Apr → | |
| dust2 | 13–6 | -0.01 | 23% | 4 Apr → | |
| anubis | 11–13 | -0.19 | 0% | 31 Mar → | |
| mirage | 13–5 | 0.07 | 23% | 31 Mar → | |
| mirage | 8–13 | 0.06 | 27% | 31 Mar → | |
| mirage | 10–13 | 0.04 | 9% | 13 Mar → | |
| mirage | 13–4 | 0.12 | 26% | 26 Feb → | |
| mirage | 13–3 | 0.03 | 39% | 26 Feb → | |
| nuke | 8–8 | 0.02 | 15% | 4 Jun → | |
| vertigo | 3–9 | -0.06 | 20% | 31 May → | |
| nuke | 9–3 | 0.16 | 16% | 31 May → | |
| mirage | 5–9 | -0.02 | 31% | 31 May → | |
| mirage | 8–8 | 0.06 | 15% | 25 May → | |
| mirage | 9–6 | 0.09 | 17% | 17 May → | |
| mirage | 9–7 | 0.25 | 11% | 16 May → | |
| mirage | 9–3 | 0.09 | 21% | 15 May → | |
| mirage | 6–9 | -0.02 | 23% | 15 May → | |
| mirage | 9–6 | -0.01 | 26% | 14 May → | |
| mirage | 9–4 | 0.11 | 28% | 13 May → | |
| mirage | 1–9 | -0.05 | 22% | 9 May → | |
| mirage | 6–9 | 0.10 | 27% | 24 Feb → | |
| mirage | 15–15 | 0.00 | 22% | 1 Jun → | |
| train | 10–16 | 0.00 | 20% | 30 Mar → |
Match data via Leetify.
Recent teammates
Milestones
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