Alex — CS2 Stats
US76561198060809315[U:1:100543587]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 1 among CSDB-tracked players (n=230), 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 | Level 1 median | Level 2 median | vs Level 2 |
|---|---|---|---|---|
| Headshot rate | 45.9% | 41.1% | 41.2% | above |
| Shot accuracy | 15.0% | 14.1% | 12.5% | above |
| Kill/death ratio | 1.07 | 0.97 | 0.96 | above |
| Match win rate | 38.6% | 41.9% | 42.8% | 4.2% short |
This profile matches the typical Level 2 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 2 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: +30pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 91% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Strengths
Flashes. 0.81 enemies blinded per flash — utility that consistently lands.
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 6.6/10 (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 |
|---|---|---|---|---|---|
| C | 18 | 7–11 | 39% | -0.01 | |
| C | 17 | 7–10 | 41% | 0.01 | |
| A | 15 | 9–6 | 60% | 0.01 | |
| S | 14 | 11–3 | 79% | -0.01 | |
| B | 14 | 7–7 | 50% | -0.01 | |
| A | 12 | 7–5 | 58% | 0.02 | |
| C | 8 | 3–5 | 38% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). 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 Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 34.951% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.01 | 19% | 29 Aug → | ||
| 13–11 | 0.03 | 14% | 29 Aug → | ||
| 13–9 | -0.02 | 13% | 29 Aug → | ||
| 16–12 | 0.00 | 19% | 13 Aug → | ||
| 13–9 | -0.01 | 24% | 13 Aug → | ||
| 10–13 | -0.06 | 14% | 13 Aug → | ||
| 15–15 | 0.02 | 26% | 11 Aug → | ||
| 13–8 | 0.02 | 17% | 10 Aug → | ||
| 13–3 | -0.04 | 13% | 10 Aug → | ||
| 13–8 | 0.14 | 22% | 9 Aug → | ||
| 11–13 | -0.05 | 13% | 9 Aug → | ||
| 8–13 | -0.04 | 9% | 7 Aug → | ||
| 13–6 | -0.03 | 11% | 7 Aug → | ||
| 13–7 | -0.02 | 10% | 7 Aug → | ||
| 13–2 | -0.02 | 37% | 7 Aug → | ||
| 9–13 | -0.09 | 11% | 5 Aug → | ||
| 13–11 | 0.04 | 24% | 5 Aug → | ||
| 8–13 | -0.02 | 13% | 5 Aug → | ||
| 13–8 | 0.07 | 19% | 3 Aug → | ||
| 4–13 | 0.03 | 19% | 3 Aug → | ||
| 16–13 | -0.01 | 17% | 28 Jul → | ||
| 13–6 | 0.12 | 18% | 28 Jul → | ||
| 11–13 | 0.05 | 21% | 26 Jul → | ||
| 1–13 | -0.05 | 21% | 26 Jul → | ||
| 7–13 | -0.03 | 8% | 26 Jul → | ||
| 14–16 | -0.07 | 10% | 26 Jul → | ||
| 13–3 | 0.04 | 21% | 23 Jul → | ||
| 16–13 | -0.00 | 10% | 23 Jul → | ||
| 13–4 | 0.00 | 14% | 23 Jul → | ||
| 13–2 | -0.02 | 11% | 23 Jul → | ||
| 11–13 | -0.04 | 11% | 23 Jul → | ||
| 10–13 | 0.06 | 17% | 23 Jul → | ||
| 11–13 | -0.05 | 16% | 22 Jul → | ||
| 13–11 | 0.05 | 14% | 22 Jul → | ||
| 13–8 | 0.01 | 19% | 22 Jul → | ||
| 9–13 | -0.05 | 15% | 22 Jul → | ||
| 8–13 | 0.02 | 18% | 21 Jul → | ||
| 13–6 | 0.02 | 16% | 21 Jul → | ||
| 13–9 | 0.05 | 18% | 21 Jul → | ||
| 8–13 | -0.02 | 18% | 21 Jul → | ||
| 13–10 | 0.03 | 11% | 21 Jul → | ||
| 15–15 | 0.05 | 15% | 21 Jul → | ||
| 9–13 | -0.00 | 13% | 18 Jul → | ||
| 12–16 | -0.03 | 14% | 18 Jul → | ||
| 8–13 | -0.03 | 16% | 18 Jul → | ||
| 13–9 | -0.01 | 17% | 18 Jul → | ||
| 13–11 | 0.07 | 36% | 18 Jul → | ||
| 15–15 | 0.01 | 10% | 17 Jul → | ||
| 13–11 | 0.02 | 22% | 17 Jul → | ||
| 13–8 | -0.01 | 6% | 17 Jul → | ||
| 14–16 | 0.02 | 21% | 17 Jul → | ||
| 13–3 | 0.04 | 17% | 17 Jul → | ||
| 13–8 | 0.04 | 22% | 17 Jul → | ||
| 6–13 | 0.04 | 14% | 17 Jul → | ||
| 7–13 | -0.02 | 7% | 16 Jul → | ||
| 6–13 | 0.04 | 22% | 16 Jul → | ||
| 13–8 | 0.01 | 23% | 16 Jul → | ||
| 9–13 | -0.01 | 10% | 14 Jul → | ||
| 3–6 | 0.02 | 7% | 14 Jul → | ||
| 16–14 | -0.02 | 16% | 13 Jul → | ||
| 8–13 | -0.00 | 12% | 13 Jul → | ||
| 11–13 | -0.02 | 16% | 13 Jul → | ||
| 15–15 | -0.01 | 13% | 13 Jul → | ||
| 13–4 | 0.04 | 17% | 12 Jul → | ||
| 9–13 | 0.04 | 13% | 12 Jul → | ||
| 11–13 | -0.04 | 15% | 12 Jul → | ||
| 16–14 | -0.03 | 15% | 11 Jul → | ||
| 13–8 | 0.04 | 12% | 11 Jul → | ||
| 13–4 | 0.02 | 16% | 11 Jul → | ||
| 16–14 | 0.02 | 12% | 11 Jul → | ||
| 13–8 | 0.01 | 14% | 11 Jul → | ||
| 11–13 | 0.00 | 25% | 11 Jul → | ||
| 16–13 | 0.03 | 9% | 11 Jul → | ||
| 6–13 | -0.02 | 14% | 11 Jul → | ||
| 13–6 | -0.05 | 15% | 11 Jul → | ||
| 7–13 | -0.02 | 17% | 11 Jul → | ||
| 11–13 | 0.04 | 18% | 11 Jul → | ||
| 7–13 | 0.04 | 17% | 10 Jul → | ||
| 9–13 | 0.06 | 12% | 10 Jul → | ||
| 13–3 | 0.10 | 15% | 10 Jul → | ||
| 7–13 | 0.06 | 13% | 10 Jul → | ||
| 13–1 | 0.03 | 11% | 10 Jul → | ||
| 8–13 | 0.01 | 11% | 9 Jul → | ||
| 4–13 | -0.04 | 41% | 9 Jul → | ||
| 16–12 | 0.01 | 6% | 9 Jul → | ||
| 13–16 | 0.02 | 13% | 9 Jul → | ||
| 13–11 | 0.04 | 17% | 8 Jul → | ||
| 5–13 | 0.04 | 24% | 6 Jul → | ||
| 13–10 | -0.05 | 11% | 5 Jul → | ||
| 13–5 | -0.01 | 24% | 5 Jul → | ||
| 9–13 | -0.09 | 30% | 5 Jul → | ||
| 13–4 | -0.07 | 8% | 4 Jul → | ||
| 13–10 | 0.01 | 15% | 4 Jul → | ||
| 13–6 | -0.03 | 14% | 4 Jul → | ||
| 13–8 | -0.01 | 8% | 4 Jul → | ||
| 10–6 | -0.04 | 23% | 27 Jun → | ||
| 10–13 | -0.04 | 15% | 27 Jun → | ||
| 13–10 | -0.06 | 13% | 27 Jun → | ||
| 3–13 | 0.02 | 19% | 27 Jun → | ||
| 15–15 | 0.02 | 21% | 26 Jun → |
Match data via Leetify.