♥WiffCity♥ — CS2 Stats
US76561198059703203[U:1:99437475]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 42.9% | 44.9% | 46.2% | 3.4% short |
| Shot accuracy | 15.4% | 11.8% | 12.5% | above |
| Kill/death ratio | 0.92 | 1.04 | 1.06 | 0.14 short |
| Match win rate | 36.7% | 45.3% | 45.9% | 9.1% short |
This profile matches the typical Level 7 player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 7 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 · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 88% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Areas to improve
Reaction time. 603ms 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 5.7/10 (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 |
|---|---|---|---|---|---|
| B | 23 | 11–12 | 48% | -0.01 | |
| S | 22 | 16–6 | 73% | -0.01 | |
| S | 15 | 12–3 | 80% | -0.01 | |
| D | 11 | 2–9 | 18% | -0.01 | |
| B | 10 | 5–5 | 50% | -0.02 | |
| B | 8 | 4–4 | 50% | 0.00 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| — | 3 | 0–3 | 0% | -0.00 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 2 | 50% | 2.81 | 18.5 |
| Mirage | 1 | 0% | 0.41 | 7.0 |
| Dust2 | 1 | 0% | 0.24 | 4.0 |
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
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 35.9492% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.03 | 20% | 20 Aug → | ||
| 13–9 | -0.04 | 17% | 20 Aug → | ||
| 9–13 | -0.03 | 18% | 20 Aug → | ||
| 13–2 | 0.03 | 15% | 16 Aug → | ||
| 13–10 | -0.03 | 17% | 16 Aug → | ||
| 7–13 | -0.05 | 14% | 10 Aug → | ||
| 13–7 | -0.02 | 12% | 10 Aug → | ||
| 10–13 | -0.01 | 17% | 10 Aug → | ||
| 13–7 | 0.02 | 15% | 9 Aug → | ||
| 13–7 | -0.04 | 14% | 9 Aug → | ||
| 14–16 | -0.04 | 13% | 9 Aug → | ||
| 7–13 | -0.04 | 32% | 9 Aug → | ||
| 8–13 | -0.05 | 18% | 9 Aug → | ||
| 10–13 | -0.02 | 10% | 2 Aug → | ||
| 13–9 | -0.02 | 18% | 2 Aug → | ||
| 7–1 | 0.07 | 38% | 2 Aug → | ||
| 13–4 | -0.02 | 12% | 2 Aug → | ||
| 9–3 | -0.08 | 6% | 2 Aug → | ||
| 5–13 | 0.04 | 14% | 2 Aug → | ||
| 11–13 | -0.01 | 21% | 2 Aug → | ||
| 15–15 | -0.05 | 14% | 1 Aug → | ||
| 13–5 | 0.07 | 29% | 1 Aug → | ||
| 10–13 | -0.05 | 9% | 1 Aug → | ||
| 13–5 | -0.01 | 13% | 1 Aug → | ||
| 10–13 | 0.00 | 20% | 1 Aug → | ||
| 13–10 | 0.00 | 19% | 31 Jul → | ||
| 10–13 | 0.01 | 17% | 31 Jul → | ||
| 10–13 | 0.04 | 21% | 31 Jul → | ||
| 16–12 | 0.09 | 17% | 31 Jul → | ||
| 13–10 | 0.01 | 18% | 25 Jul → | ||
| 15–15 | -0.01 | 15% | 25 Jul → | ||
| 13–10 | -0.03 | 19% | 25 Jul → | ||
| 13–11 | -0.07 | 16% | 22 Jul → | ||
| 1–13 | 0.05 | 15% | 22 Jul → | ||
| 13–10 | -0.04 | 14% | 21 Jul → | ||
| 13–11 | -0.03 | 17% | 15 Jul → | ||
| 13–5 | -0.01 | 7% | 15 Jul → | ||
| 13–7 | 0.08 | 17% | 15 Jul → | ||
| 8–13 | 0.02 | 14% | 15 Jul → | ||
| 10–13 | -0.01 | 24% | 2 Jul → | ||
| 11–13 | 0.02 | 15% | 2 Jul → | ||
| 13–5 | -0.02 | 16% | 28 Jun → | ||
| 9–13 | -0.02 | 17% | 28 Jun → | ||
| 13–10 | 0.01 | 7% | 27 Jun → | ||
| 13–11 | 0.03 | 13% | 27 Jun → | ||
| 15–15 | -0.03 | 23% | 26 Jun → | ||
| 11–13 | 0.02 | 13% | 26 Jun → | ||
| 10–13 | -0.02 | 13% | 25 Jun → | ||
| 5–13 | 0.02 | 15% | 23 Jun → | ||
| 13–10 | -0.03 | 16% | 23 Jun → | ||
| 7–13 | -0.05 | 20% | 21 Jun → | ||
| 13–4 | -0.00 | 29% | 21 Jun → | ||
| 8–13 | 0.03 | 19% | 21 Jun → | ||
| 13–1 | 0.02 | 9% | 21 Jun → | ||
| 13–8 | 0.07 | 18% | 21 Jun → | ||
| 11–13 | -0.03 | 15% | 16 Jun → | ||
| 7–13 | -0.03 | 10% | 16 Jun → | ||
| 13–8 | 0.06 | 19% | 15 Jun → | ||
| 13–11 | -0.04 | 13% | 15 Jun → | ||
| 11–13 | -0.01 | 18% | 15 Jun → | ||
| 13–5 | 0.03 | 22% | 15 Jun → | ||
| 13–8 | -0.03 | 15% | 13 Jun → | ||
| 4–13 | 0.01 | 34% | 13 Jun → | ||
| 6–9 | -0.07 | 20% | 13 Jun → | ||
| 13–9 | -0.01 | 13% | 9 Jun → | ||
| 7–13 | -0.02 | 11% | 7 Jun → | ||
| 13–11 | -0.02 | 13% | 7 Jun → | ||
| 11–13 | 0.01 | 11% | 7 Jun → | ||
| 5–2 | -0.02 | 33% | 2 Jun → | ||
| 16–12 | -0.04 | 13% | 2 Jun → | ||
| 7–13 | -0.07 | 5% | 1 Jun → | ||
| 16–14 | -0.02 | 4% | 1 Jun → | ||
| 6–13 | -0.08 | 9% | 1 Jun → | ||
| 13–11 | -0.04 | 10% | 29 May → | ||
| 13–7 | 0.15 | 12% | 29 May → | ||
| 2–13 | -0.04 | 18% | 29 May → | ||
| 13–6 | 0.04 | 19% | 29 May → | ||
| 4–13 | -0.03 | 24% | 29 May → | ||
| 10–13 | -0.01 | 22% | 26 May → | ||
| 6–1 | 0.00 | 17% | 26 May → | ||
| 13–6 | -0.02 | 13% | 24 May → | ||
| 13–7 | 0.07 | 14% | 24 May → | ||
| 13–8 | 0.04 | 17% | 24 May → | ||
| 13–11 | -0.03 | 17% | 12 May → | ||
| 13–6 | 0.02 | 11% | 10 May → | ||
| 13–7 | -0.03 | 15% | 10 May → | ||
| 4–13 | -0.10 | 12% | 10 May → | ||
| 8–13 | -0.02 | 21% | 10 May → | ||
| 13–11 | 0.02 | 15% | 9 May → | ||
| 13–5 | -0.03 | 25% | 9 May → | ||
| 6–13 | -0.00 | 14% | 9 May → | ||
| 13–8 | -0.04 | 16% | 9 May → | ||
| 15–15 | 0.02 | 17% | 9 May → | ||
| 7–13 | -0.02 | 7% | 8 May → | ||
| 4–13 | -0.04 | 3% | 5 May → | ||
| 13–11 | -0.04 | 16% | 5 May → | ||
| 13–3 | -0.01 | 26% | 5 May → | ||
| 13–6 | 0.00 | 15% | 5 May → | ||
| 13–8 | 0.00 | 14% | 5 May → | ||
| 7–13 | -0.01 | 30% | 25 Apr → |
Match data via Leetify.