MokkaSniffer — CS2 Stats
FI76561197984934745[U:1:24669017]Steam profile ↗
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 39.4% | 49.0% | 52.0% | 12.6% short |
| Shot accuracy | 11.5% | 13.1% | 13.7% | 2.1% short |
| Kill/death ratio | 0.97 | 1.08 | 1.08 | 0.12 short |
| Match win rate | 48.0% | 46.9% | 48.8% | meets |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 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: -20pp win rate · -0.03 avg rating
Player DNA
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 Twistzz 85% playstyle similarity
Most alike: opening-duel success, 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. 617ms 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 5.5/10 (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 |
|---|---|---|---|---|---|
| A | 25 | 16–9 | 64% | 0.00 | |
| B | 19 | 9–10 | 47% | 0.00 | |
| B | 18 | 9–9 | 50% | -0.01 | |
| A | 11 | 6–5 | 55% | 0.00 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| S | 10 | 7–3 | 70% | 0.02 | |
| D | 6 | 1–5 | 17% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 78 | 55% | 1.08 | 14.6 |
| Anubis | 67 | 42% | 0.94 | 13.6 |
| Mirage | 64 | 44% | 0.82 | 12.3 |
| Ancient | 49 | 51% | 1.02 | 14.8 |
| Dust2 | 43 | 44% | 1.00 | 13.9 |
| Nuke | 42 | 62% | 1.12 | 14.8 |
| Vertigo | 35 | 49% | 1.03 | 16.5 |
| Train | 10 | 80% | 1.30 | 15.8 |
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
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
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 38.5777% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.02 | 20% | 8 May → | ||
| 16–13 | -0.02 | 17% | 7 May → | ||
| 13–9 | -0.01 | 24% | 28 Mar → | ||
| 13–10 | -0.04 | 22% | 26 Mar → | ||
| 11–13 | -0.01 | 17% | 26 Mar → | ||
| 6–13 | -0.06 | 19% | 26 Mar → | ||
| 13–8 | -0.01 | 26% | 25 Mar → | ||
| 5–13 | -0.08 | 11% | 20 Mar → | ||
| 9–5 | 0.07 | 26% | 18 Mar → | ||
| 7–9 | -0.07 | 13% | 18 Mar → | ||
| 12–1 | -0.01 | 13% | 18 Mar → | ||
| 12–16 | -0.05 | 15% | 18 Mar → | ||
| 13–9 | 0.03 | 16% | 15 Mar → | ||
| 14–16 | -0.02 | 14% | 15 Mar → | ||
| 13–9 | 0.03 | 9% | 14 Mar → | ||
| 13–3 | -0.03 | 6% | 14 Mar → | ||
| 7–13 | -0.04 | 16% | 14 Mar → | ||
| 13–7 | 0.02 | 13% | 14 Mar → | ||
| 13–6 | 0.04 | 13% | 13 Mar → | ||
| 13–8 | 0.03 | 20% | 8 Mar → | ||
| 10–13 | -0.05 | 16% | 8 Mar → | ||
| 13–8 | 0.04 | 15% | 8 Mar → | ||
| 9–13 | 0.08 | 19% | 7 Mar → | ||
| 9–4 | 0.11 | 18% | 4 Mar → | ||
| 11–13 | -0.03 | 20% | 4 Mar → | ||
| 4–13 | 0.01 | 14% | 4 Mar → | ||
| 9–2 | 0.00 | 14% | 2 Mar → | ||
| 13–8 | 0.01 | 21% | 1 Mar → | ||
| 15–15 | -0.04 | 31% | 1 Mar → | ||
| 13–6 | 0.06 | 35% | 28 Feb → | ||
| 1–10 | -0.03 | 21% | 28 Feb → | ||
| 13–16 | -0.05 | 15% | 27 Feb → | ||
| 13–6 | -0.03 | 8% | 27 Feb → | ||
| 13–2 | 0.00 | 18% | 27 Feb → | ||
| 13–3 | 0.06 | 19% | 23 Feb → | ||
| 13–10 | 0.03 | 15% | 22 Feb → | ||
| 10–13 | -0.05 | 16% | 22 Feb → | ||
| 6–13 | 0.06 | 19% | 20 Feb → | ||
| 6–9 | -0.05 | 23% | 20 Feb → | ||
| 6–13 | -0.04 | 17% | 20 Feb → | ||
| 13–5 | 0.01 | 35% | 19 Feb → | ||
| 13–9 | -0.00 | 8% | 12 Feb → | ||
| 10–13 | -0.06 | 9% | 9 Feb → | ||
| 3–13 | 0.03 | 23% | 9 Feb → | ||
| 13–10 | -0.01 | 20% | 8 Feb → | ||
| 16–14 | -0.04 | 10% | 8 Feb → | ||
| 16–13 | 0.01 | 21% | 8 Feb → | ||
| 13–6 | 0.04 | 24% | 8 Feb → | ||
| 5–13 | -0.04 | 12% | 8 Feb → | ||
| 6–13 | -0.04 | 9% | 8 Feb → | ||
| 14–16 | -0.04 | 16% | 7 Feb → | ||
| 13–7 | -0.01 | 7% | 7 Feb → | ||
| 10–13 | -0.01 | 14% | 7 Feb → | ||
| 13–6 | 0.03 | 15% | 7 Feb → | ||
| 13–3 | 0.05 | 12% | 7 Feb → | ||
| 13–6 | 0.00 | 9% | 7 Feb → | ||
| 8–13 | 0.11 | 11% | 7 Feb → | ||
| 13–6 | 0.03 | 19% | 7 Feb → | ||
| 13–11 | -0.04 | 14% | 6 Feb → | ||
| 11–13 | -0.03 | 11% | 6 Feb → | ||
| 11–13 | 0.04 | 21% | 6 Feb → | ||
| 13–4 | 0.01 | 31% | 5 Feb → | ||
| 16–14 | -0.02 | 10% | 5 Feb → | ||
| 8–13 | 0.15 | 23% | 5 Feb → | ||
| 11–13 | 0.01 | 21% | 5 Feb → | ||
| 13–8 | 0.06 | 19% | 4 Feb → | ||
| 13–5 | 0.01 | 6% | 4 Feb → | ||
| 6–13 | -0.02 | 39% | 4 Feb → | ||
| 13–9 | -0.01 | 21% | 4 Feb → | ||
| 8–13 | -0.01 | 21% | 4 Feb → | ||
| 13–7 | 0.00 | 14% | 2 Feb → | ||
| 15–15 | 0.05 | 19% | 2 Feb → | ||
| 13–2 | 0.03 | 13% | 1 Feb → | ||
| 9–13 | -0.04 | 14% | 1 Feb → | ||
| 13–8 | 0.05 | 21% | 1 Feb → | ||
| 1–13 | -0.09 | 11% | 1 Feb → | ||
| 9–13 | -0.01 | 21% | 1 Feb → | ||
| 11–13 | -0.00 | 21% | 1 Feb → | ||
| 13–11 | -0.01 | 14% | 1 Feb → | ||
| 7–13 | -0.04 | 6% | 1 Feb → | ||
| 13–6 | 0.03 | 18% | 1 Feb → | ||
| 1–13 | -0.08 | 29% | 1 Feb → | ||
| 13–11 | 0.08 | 18% | 1 Feb → | ||
| 10–13 | -0.01 | 20% | 1 Feb → | ||
| 13–9 | 0.03 | 12% | 31 Jan → | ||
| 11–13 | -0.00 | 12% | 31 Jan → | ||
| 13–7 | 0.03 | 14% | 31 Jan → | ||
| 13–8 | 0.04 | 23% | 31 Jan → | ||
| 9–13 | -0.06 | 10% | 31 Jan → | ||
| 11–13 | -0.06 | 20% | 31 Jan → | ||
| 13–4 | 0.10 | 34% | 31 Jan → | ||
| 13–4 | 0.00 | 23% | 31 Jan → | ||
| 5–13 | -0.02 | 15% | 31 Jan → | ||
| 10–13 | 0.01 | 23% | 31 Jan → | ||
| 13–11 | 0.06 | 16% | 31 Jan → | ||
| 13–4 | 0.06 | 9% | 31 Jan → | ||
| 4–13 | -0.03 | 26% | 31 Jan → | ||
| 1–13 | -0.05 | 16% | 30 Jan → | ||
| 5–13 | 0.00 | 24% | 30 Jan → | ||
| 13–8 | -0.05 | 9% | 29 Jan → |
Match data via Leetify.