Sups — CS2 Stats
MK76561198293830852[U:1:333565124]Steam profile ↗✓ No bans
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 | 33.0% | 49.0% | 52.0% | 19.0% short |
| Shot accuracy | 15.0% | 13.1% | 13.7% | above |
| Kill/death ratio | 1.04 | 1.08 | 1.08 | 0.04 short |
| Match win rate | 44.3% | 46.9% | 48.8% | 4.5% short |
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: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong CT-side opener
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 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; 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
CT openings. 69% 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.
T-side openings. Opening success drops from 69% on CT to 48% on T — the same duels are being taken with worse setups on the attacking side.
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.9/10 (Solid), 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 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 | 22 | 8–14 | 36% | 0.01 | |
| B | 17 | 9–8 | 53% | 0.00 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| D | 12 | 3–9 | 25% | 0.01 | |
| D | 9 | 3–6 | 33% | -0.00 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 245 | 46% | 1.07 | 16.8 |
| Dust2 | 164 | 41% | 1.03 | 15.4 |
| Inferno | 145 | 58% | 1.14 | 16.9 |
| Anubis | 121 | 52% | 1.11 | 17.0 |
| Nuke | 119 | 68% | 1.34 | 18.2 |
| Ancient | 83 | 47% | 1.09 | 16.1 |
| Cache | 29 | 45% | 1.19 | 15.7 |
| Vertigo | 25 | 52% | 1.15 | 16.2 |
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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–16 | 0.02 | 14% | 29 Aug → | ||
| 16–12 | -0.00 | 16% | 28 Aug → | ||
| 13–3 | 0.11 | 15% | 28 Aug → | ||
| 13–11 | -0.04 | 13% | 28 Aug → | ||
| 7–13 | 0.11 | 13% | 28 Aug → | ||
| 13–8 | 0.04 | 17% | 28 Aug → | ||
| 13–7 | 0.01 | 25% | 28 Aug → | ||
| 13–8 | 0.03 | 10% | 28 Aug → | ||
| 16–14 | 0.05 | 23% | 28 Aug → | ||
| 7–13 | -0.00 | 9% | 28 Aug → | ||
| 13–4 | 0.05 | 18% | 27 Aug → | ||
| 11–13 | 0.05 | 24% | 27 Aug → | ||
| 13–16 | 0.08 | 13% | 27 Aug → | ||
| 19–15 | 0.03 | 11% | 27 Aug → | ||
| 13–10 | -0.01 | 29% | 27 Aug → | ||
| 13–7 | 0.07 | 14% | 27 Aug → | ||
| 13–8 | -0.04 | 20% | 27 Aug → | ||
| 13–8 | 0.10 | 16% | 26 Aug → | ||
| 9–13 | -0.00 | 18% | 26 Aug → | ||
| 9–13 | 0.00 | 19% | 26 Aug → | ||
| 3–13 | -0.02 | 24% | 24 Aug → | ||
| 9–13 | -0.03 | 12% | 24 Aug → | ||
| 11–13 | 0.03 | 14% | 24 Aug → | ||
| 19–22 | 0.08 | 11% | 24 Aug → | ||
| 13–8 | 0.03 | 15% | 24 Aug → | ||
| 13–10 | 0.06 | 9% | 24 Aug → | ||
| 2–13 | 0.05 | 16% | 24 Aug → | ||
| 9–13 | 0.04 | 16% | 23 Aug → | ||
| 13–9 | 0.09 | 10% | 23 Aug → | ||
| 16–12 | 0.08 | 29% | 23 Aug → | ||
| 16–14 | 0.04 | 16% | 23 Aug → | ||
| 10–13 | 0.04 | 14% | 22 Aug → | ||
| 17–19 | 0.05 | 14% | 22 Aug → | ||
| 19–16 | 0.03 | 8% | 22 Aug → | ||
| 8–13 | -0.03 | 14% | 21 Aug → | ||
| 13–10 | 0.01 | 7% | 21 Aug → | ||
| 13–5 | 0.07 | 19% | 21 Aug → | ||
| 10–13 | 0.05 | 13% | 21 Aug → | ||
| 13–9 | 0.07 | 13% | 21 Aug → | ||
| 9–13 | 0.00 | 4% | 20 Aug → | ||
| 8–13 | 0.11 | 18% | 20 Aug → | ||
| 4–13 | -0.09 | 10% | 20 Aug → | ||
| 11–13 | -0.06 | 8% | 20 Aug → | ||
| 13–11 | 0.03 | 15% | 20 Aug → | ||
| 3–13 | 0.07 | 26% | 20 Aug → | ||
| 11–13 | 0.04 | 14% | 19 Aug → | ||
| 11–13 | -0.02 | 15% | 19 Aug → | ||
| 13–10 | 0.04 | 13% | 19 Aug → | ||
| 13–5 | 0.02 | 22% | 19 Aug → | ||
| 5–13 | -0.02 | 27% | 19 Aug → | ||
| 13–16 | 0.01 | 19% | 19 Aug → | ||
| 4–13 | -0.04 | 18% | 19 Aug → | ||
| 8–13 | 0.01 | 15% | 19 Aug → | ||
| 16–13 | 0.06 | 19% | 19 Aug → | ||
| 10–13 | -0.00 | 8% | 19 Aug → | ||
| 13–4 | -0.00 | 5% | 19 Aug → | ||
| 8–13 | -0.01 | 17% | 19 Aug → | ||
| 20–22 | -0.01 | 17% | 19 Aug → | ||
| 13–4 | 0.06 | 20% | 19 Aug → | ||
| 8–13 | 0.02 | 10% | 18 Aug → | ||
| 6–13 | -0.07 | 10% | 18 Aug → | ||
| 10–13 | -0.06 | 31% | 18 Aug → | ||
| 2–13 | -0.04 | 11% | 18 Aug → | ||
| 5–13 | -0.03 | 17% | 18 Aug → | ||
| 13–6 | 0.05 | 14% | 18 Aug → | ||
| 4–13 | -0.09 | 14% | 17 Aug → | ||
| 13–3 | -0.02 | 16% | 17 Aug → | ||
| 13–2 | 0.02 | 11% | 17 Aug → | ||
| 13–4 | -0.01 | 7% | 17 Aug → | ||
| 7–13 | -0.06 | 9% | 17 Aug → | ||
| 6–13 | -0.04 | 13% | 17 Aug → | ||
| 7–13 | 0.01 | 8% | 17 Aug → | ||
| 11–13 | -0.07 | 4% | 17 Aug → | ||
| 8–13 | -0.04 | 9% | 17 Aug → | ||
| 13–6 | -0.03 | 5% | 16 Aug → | ||
| 13–9 | 0.03 | 18% | 16 Aug → | ||
| 7–13 | -0.07 | 9% | 16 Aug → | ||
| 13–8 | 0.00 | 17% | 16 Aug → | ||
| 6–13 | -0.01 | 22% | 16 Aug → | ||
| 1–13 | -0.10 | 8% | 15 Aug → | ||
| 11–13 | 0.02 | 7% | 15 Aug → | ||
| 7–13 | -0.03 | 10% | 13 Aug → | ||
| 9–13 | 0.03 | 18% | 13 Aug → | ||
| 13–8 | 0.00 | 9% | 13 Aug → | ||
| 13–6 | 0.02 | 12% | 13 Aug → | ||
| 13–6 | 0.02 | 9% | 13 Aug → | ||
| 9–13 | 0.01 | 21% | 12 Aug → | ||
| 11–13 | -0.00 | 31% | 12 Aug → | ||
| 8–13 | -0.03 | 26% | 12 Aug → | ||
| 13–9 | 0.00 | 9% | 12 Aug → | ||
| 16–14 | -0.06 | 13% | 12 Aug → | ||
| 13–6 | 0.00 | 17% | 12 Aug → | ||
| 6–13 | -0.04 | 24% | 12 Aug → | ||
| 10–13 | -0.01 | 19% | 12 Aug → | ||
| 8–13 | -0.01 | 9% | 11 Aug → | ||
| 13–5 | 0.04 | 17% | 11 Aug → | ||
| 13–6 | -0.03 | 5% | 11 Aug → | ||
| 13–6 | 0.04 | 27% | 10 Aug → | ||
| 13–9 | 0.04 | 8% | 10 Aug → | ||
| 10–13 | -0.04 | 11% | 10 Aug → |
Match data via Leetify.