Num1score — CS2 Stats
76561198101041058[U:1:140775330]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 40.6% | 52.8% |
| Shot accuracy | 15.4% | 13.7% |
| Kill/death ratio | 1.24 | 1.08 |
| Match win rate | 48.1% | 49.2% |
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 · -0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerEffective 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 s1mple 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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 92 — 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.
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
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 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 32 | 20–12 | 63% | 0.04 | |
| A | 28 | 16–12 | 57% | 0.04 | |
| B | 14 | 7–7 | 50% | 0.03 | |
| S | 9 | 7–2 | 78% | 0.03 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| C | 5 | 2–3 | 40% | 0.00 | |
| — | 4 | 2–2 | 50% | 0.03 |
Across the last 100 tracked matches.
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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 93 | 61% | 1.28 | 19.3 |
| Dust2 | 61 | 62% | 1.32 | 20.2 |
| Anubis | 39 | 46% | 1.30 | 20.6 |
| Inferno | 32 | 56% | 1.28 | 19.0 |
| Ancient | 29 | 62% | 1.05 | 15.8 |
| Nuke | 15 | 67% | 1.67 | 19.0 |
| Train | 14 | 50% | 1.46 | 21.5 |
| Cache | 5 | 20% | 0.70 | 12.8 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.03 | 20% | 23 Aug → | ||
| 2–13 | -0.07 | 6% | 22 Aug → | ||
| 13–7 | 0.09 | 22% | 22 Aug → | ||
| 13–9 | 0.12 | 27% | 22 Aug → | ||
| 23–25 | 0.04 | 29% | 19 Aug → | ||
| 13–5 | 0.03 | 9% | 16 Aug → | ||
| 0–6 | 0.06 | 43% | 16 Aug → | ||
| 13–3 | -0.01 | 25% | 16 Aug → | ||
| 11–13 | 0.03 | 26% | 16 Aug → | ||
| 13–4 | 0.17 | 21% | 16 Aug → | ||
| 13–11 | 0.10 | 17% | 16 Aug → | ||
| 8–13 | 0.04 | 26% | 16 Aug → | ||
| 8–13 | -0.02 | 15% | 16 Aug → | ||
| 16–13 | 0.03 | 20% | 16 Aug → | ||
| 13–10 | 0.07 | 27% | 15 Aug → | ||
| 6–13 | 0.01 | 11% | 15 Aug → | ||
| 13–1 | 0.16 | 23% | 14 Aug → | ||
| 11–13 | 0.09 | 24% | 12 Aug → | ||
| 13–10 | 0.01 | 19% | 11 Aug → | ||
| 1–13 | -0.04 | 11% | 10 Aug → | ||
| 10–13 | 0.05 | 19% | 10 Aug → | ||
| 13–7 | 0.12 | 24% | 10 Aug → | ||
| 16–12 | 0.06 | 25% | 10 Aug → | ||
| 13–7 | 0.10 | 9% | 10 Aug → | ||
| 13–7 | 0.09 | 13% | 9 Aug → | ||
| 13–8 | 0.09 | 26% | 9 Aug → | ||
| 13–8 | 0.03 | 21% | 9 Aug → | ||
| 13–8 | -0.03 | 33% | 8 Aug → | ||
| 13–2 | 0.12 | 24% | 8 Aug → | ||
| 8–13 | 0.06 | 25% | 8 Aug → | ||
| 12–16 | -0.05 | 20% | 8 Aug → | ||
| 13–9 | 0.01 | 16% | 7 Aug → | ||
| 6–13 | 0.03 | 19% | 7 Aug → | ||
| 13–2 | -0.01 | 22% | 7 Aug → | ||
| 1–13 | 0.03 | 20% | 7 Aug → | ||
| 13–4 | -0.02 | 33% | 7 Aug → | ||
| 13–6 | 0.13 | 16% | 7 Aug → | ||
| 13–7 | 0.00 | 10% | 3 Aug → | ||
| 13–4 | 0.14 | 29% | 1 Aug → | ||
| 11–13 | 0.09 | 23% | 31 Jul → | ||
| 13–16 | 0.10 | 24% | 31 Jul → | ||
| 2–3 | -0.01 | 0% | 31 Jul → | ||
| 8–2 | -0.04 | 29% | 30 Jul → | ||
| 2–13 | 0.01 | 27% | 29 Jul → | ||
| 13–3 | 0.09 | 29% | 29 Jul → | ||
| 16–13 | 0.03 | 26% | 29 Jul → | ||
| 0–13 | -0.09 | 27% | 29 Jul → | ||
| 13–8 | 0.05 | 25% | 28 Jul → | ||
| 13–9 | 0.07 | 60% | 28 Jul → | ||
| 14–16 | 0.02 | 22% | 28 Jul → | ||
| 13–1 | 0.05 | 18% | 28 Jul → | ||
| 13–5 | 0.09 | 23% | 28 Jul → | ||
| 13–9 | 0.04 | 26% | 27 Jul → | ||
| 0–13 | -0.04 | 0% | 27 Jul → | ||
| 13–2 | 0.07 | 17% | 26 Jul → | ||
| 13–10 | 0.01 | 23% | 26 Jul → | ||
| 13–8 | -0.04 | 22% | 26 Jul → | ||
| 13–8 | 0.15 | 30% | 26 Jul → | ||
| 11–13 | 0.01 | 22% | 25 Jul → | ||
| 8–13 | 0.00 | 16% | 25 Jul → | ||
| 13–10 | -0.03 | 27% | 25 Jul → | ||
| 14–16 | 0.06 | 17% | 25 Jul → | ||
| 13–4 | 0.02 | 17% | 25 Jul → | ||
| 13–4 | 0.00 | 23% | 19 Jul → | ||
| 7–13 | -0.08 | 15% | 19 Jul → | ||
| 13–9 | 0.04 | 20% | 19 Jul → | ||
| 16–14 | 0.07 | 24% | 19 Jul → | ||
| 4–13 | 0.00 | 31% | 18 Jul → | ||
| 6–13 | -0.05 | 26% | 18 Jul → | ||
| 13–7 | 0.03 | 14% | 18 Jul → | ||
| 13–4 | 0.04 | 23% | 15 Jul → | ||
| 8–13 | 0.09 | 33% | 15 Jul → | ||
| 13–5 | -0.02 | 9% | 14 Jul → | ||
| 4–13 | 0.02 | 16% | 14 Jul → | ||
| 13–2 | 0.01 | 16% | 14 Jul → | ||
| 13–9 | -0.06 | 16% | 14 Jul → | ||
| 9–13 | 0.01 | 26% | 14 Jul → | ||
| 15–15 | 0.00 | 21% | 14 Jul → | ||
| 8–13 | 0.01 | 16% | 14 Jul → | ||
| 13–7 | 0.13 | 15% | 14 Jul → | ||
| 13–6 | 0.09 | 32% | 14 Jul → | ||
| 8–13 | 0.08 | 34% | 14 Jul → | ||
| 13–11 | 0.06 | 28% | 14 Jul → | ||
| 4–13 | -0.07 | 17% | 13 Jul → | ||
| 13–16 | 0.01 | 14% | 13 Jul → | ||
| 13–7 | 0.08 | 26% | 13 Jul → | ||
| 10–13 | 0.08 | 22% | 12 Jul → | ||
| 13–8 | -0.03 | 18% | 12 Jul → | ||
| 13–10 | -0.08 | 11% | 12 Jul → | ||
| 2–13 | -0.00 | 29% | 12 Jul → | ||
| 13–8 | 0.07 | 19% | 12 Jul → | ||
| 6–13 | -0.01 | 33% | 12 Jul → | ||
| 16–13 | 0.04 | 9% | 12 Jul → | ||
| 13–10 | 0.15 | 28% | 12 Jul → | ||
| 5–13 | -0.05 | 19% | 12 Jul → | ||
| 16–12 | 0.02 | 23% | 11 Jul → | ||
| 15–15 | 0.09 | 27% | 9 Jul → | ||
| 13–11 | 0.06 | 21% | 9 Jul → | ||
| 9–13 | -0.05 | 17% | 9 Jul → | ||
| 13–9 | -0.01 | 17% | 6 Jul → |
Match data via Leetify.