MjSx — CS2 Stats
76561198445715306[U:1:485449578]✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 49.5% | 47.2% | 49.0% | meets |
| Shot accuracy | 5.5% | 12.3% | 13.1% | 7.6% short |
| Kill/death ratio | 1.18 | 1.07 | 1.08 | above |
| Match win rate | 45.7% | 46.3% | 46.9% | 1.3% short |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong CT-side openerEffective 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 88% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
CT openings. 64% 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
T-side openings. Opening success drops from 64% on CT to 48% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 602ms 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 6.3/10 (Solid), 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 | 28 | 16–12 | 57% | 0.01 | |
| C | 19 | 8–11 | 42% | 0.02 | |
| C | 18 | 7–11 | 39% | 0.01 | |
| A | 14 | 8–6 | 57% | 0.02 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| — | 4 | 1–3 | 25% | 0.00 | |
| — | 3 | 3–0 | 100% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 12). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 120 | 58% | 1.24 | 17.5 |
| Dust2 | 47 | 47% | 1.24 | 17.7 |
| Inferno | 44 | 57% | 1.56 | 18.0 |
| Ancient | 38 | 45% | 1.20 | 18.1 |
| Nuke | 30 | 40% | 1.22 | 20.6 |
| Overpass | 12 | 50% | 1.32 | 18.8 |
| Anubis | 8 | 62% | 1.69 | 16.0 |
| Train | 4 | 50% | 1.12 | 14.0 |
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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.08 | 17% | 25 Mar → | ||
| 13–5 | 0.07 | 25% | 25 Mar → | ||
| 13–7 | 0.10 | 21% | 19 Mar → | ||
| 10–13 | 0.02 | 14% | 19 Mar → | ||
| 14–16 | 0.02 | 24% | 19 Mar → | ||
| 10–13 | -0.03 | 24% | 18 Mar → | ||
| 16–13 | 0.02 | 15% | 13 Mar → | ||
| 2–13 | -0.08 | 15% | 12 Mar → | ||
| 13–4 | 0.06 | 18% | 11 Mar → | ||
| 7–13 | 0.04 | 8% | 10 Mar → | ||
| 6–13 | 0.06 | 22% | 10 Mar → | ||
| 13–11 | 0.04 | 14% | 9 Mar → | ||
| 11–13 | 0.01 | 11% | 7 Mar → | ||
| 13–5 | 0.01 | 22% | 6 Mar → | ||
| 7–13 | 0.07 | 22% | 3 Mar → | ||
| 13–3 | 0.01 | 17% | 2 Mar → | ||
| 13–11 | 0.05 | 20% | 28 Feb → | ||
| 9–13 | 0.06 | 16% | 28 Feb → | ||
| 11–13 | -0.09 | 16% | 27 Feb → | ||
| 13–10 | 0.01 | 18% | 24 Feb → | ||
| 16–14 | 0.06 | 15% | 24 Feb → | ||
| 13–9 | 0.01 | 17% | 23 Feb → | ||
| 8–13 | -0.02 | 17% | 23 Feb → | ||
| 7–13 | -0.04 | 26% | 21 Feb → | ||
| 13–11 | 0.00 | 21% | 21 Feb → | ||
| 10–13 | 0.03 | 19% | 21 Feb → | ||
| 13–10 | 0.05 | 37% | 16 Feb → | ||
| 3–13 | 0.03 | 16% | 16 Feb → | ||
| 13–8 | -0.03 | 9% | 16 Feb → | ||
| 13–4 | -0.00 | 24% | 15 Feb → | ||
| 13–11 | -0.01 | 23% | 14 Feb → | ||
| 13–10 | -0.02 | 19% | 14 Feb → | ||
| 13–9 | 0.03 | 24% | 14 Feb → | ||
| 8–13 | -0.02 | 27% | 12 Feb → | ||
| 14–16 | 0.04 | 12% | 12 Feb → | ||
| 14–16 | 0.05 | 22% | 9 Feb → | ||
| 13–11 | 0.02 | 13% | 7 Feb → | ||
| 13–7 | 0.02 | 29% | 6 Feb → | ||
| 5–13 | -0.04 | 19% | 6 Feb → | ||
| 13–11 | 0.01 | 24% | 29 Jan → | ||
| 13–11 | 0.04 | 24% | 24 Jan → | ||
| 13–0 | 0.14 | 18% | 19 Jan → | ||
| 13–6 | 0.01 | 20% | 15 Jan → | ||
| 7–13 | -0.05 | 9% | 14 Jan → | ||
| 5–13 | 0.00 | 10% | 13 Jan → | ||
| 5–13 | 0.08 | 17% | 7 Jan → | ||
| 13–8 | 0.09 | 16% | 2 Jan → | ||
| 16–14 | 0.02 | 13% | 16 Dec → | ||
| 10–13 | -0.00 | 21% | 8 Dec → | ||
| 13–5 | 0.08 | 19% | 4 Dec → | ||
| 13–2 | 0.03 | 20% | 3 Dec → | ||
| 13–4 | 0.08 | 23% | 1 Dec → | ||
| 6–13 | -0.02 | 16% | 18 Nov → | ||
| 15–15 | 0.02 | 19% | 13 Nov → | ||
| 11–13 | 0.06 | 19% | 12 Nov → | ||
| 14–16 | 0.05 | 15% | 7 Nov → | ||
| 9–13 | -0.05 | 9% | 6 Nov → | ||
| 16–19 | -0.03 | 11% | 6 Nov → | ||
| 2–10 | -0.04 | 26% | 5 Nov → | ||
| 10–13 | -0.07 | 10% | 4 Nov → | ||
| 16–14 | 0.04 | 22% | 4 Nov → | ||
| 13–9 | -0.03 | 18% | 4 Nov → | ||
| 13–10 | -0.04 | 10% | 1 Nov → | ||
| 13–10 | 0.02 | 30% | 29 Oct → | ||
| 8–13 | 0.05 | 18% | 28 Oct → | ||
| 8–13 | -0.00 | 18% | 28 Oct → | ||
| 4–13 | 0.01 | 7% | 28 Oct → | ||
| 8–13 | -0.16 | 0% | 27 Oct → | ||
| 6–13 | -0.00 | 19% | 24 Oct → | ||
| 13–10 | -0.02 | 21% | 24 Oct → | ||
| 9–13 | -0.02 | 15% | 23 Oct → | ||
| 13–10 | 0.02 | 16% | 23 Oct → | ||
| 10–13 | -0.04 | 8% | 21 Oct → | ||
| 9–13 | -0.00 | 20% | 21 Oct → | ||
| 6–13 | -0.09 | 0% | 20 Oct → | ||
| 13–6 | -0.02 | 22% | 18 Oct → | ||
| 13–7 | 0.07 | 20% | 17 Oct → | ||
| 11–13 | -0.03 | 14% | 16 Oct → | ||
| 10–13 | -0.01 | 18% | 3 Oct → | ||
| 8–13 | -0.01 | 21% | 2 Oct → | ||
| 11–13 | 0.07 | 23% | 2 Oct → | ||
| 13–10 | 0.06 | 24% | 1 Oct → | ||
| 11–13 | 0.02 | 17% | 1 Oct → | ||
| 13–10 | -0.04 | 13% | 30 Sept → | ||
| 8–13 | 0.04 | 36% | 30 Sept → | ||
| 13–9 | 0.04 | 17% | 30 Sept → | ||
| 13–11 | 0.01 | 26% | 24 Sept → | ||
| 13–4 | 0.04 | 21% | 23 Sept → | ||
| 13–11 | -0.01 | 24% | 22 Sept → | ||
| 13–10 | 0.04 | 33% | 20 Sept → | ||
| 6–13 | -0.05 | 12% | 20 Sept → | ||
| 12–16 | 0.02 | 29% | 19 Sept → | ||
| 9–13 | -0.00 | 0% | 14 Sept → | ||
| 8–13 | -0.04 | 12% | 11 Sept → | ||
| 13–1 | 0.08 | 14% | 9 Sept → | ||
| 9–13 | 0.06 | 18% | 6 Sept → | ||
| 5–13 | -0.01 | 24% | 6 Sept → | ||
| 13–4 | 0.08 | 23% | 5 Sept → | ||
| 5–13 | -0.07 | 29% | 4 Sept → | ||
| 13–1 | 0.07 | 22% | 3 Sept → |
Match data via Leetify.