Soup — CS2 Stats
CA76561198169250618[U:1:208984890]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 38.0% | 48.1% | 10.0% short |
| Shot accuracy | 14.1% | 12.9% | above |
| Kill/death ratio | 1.35 | 1.08 | above |
| Match win rate | 46.1% | 46.5% | meets |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink band 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 · +0.01 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 NiKo 89% 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. 555ms 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 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 20 | 9–11 | 45% | 0.01 | |
| B | 15 | 7–8 | 47% | -0.01 | |
| office | S | 15 | 10–5 | 67% | 0.05 |
| B | 12 | 6–6 | 50% | 0.02 | |
| S | 12 | 9–3 | 75% | 0.03 | |
| D | 10 | 3–7 | 30% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| fachwerk | — | 3 | 1–2 | 33% | 0.07 |
| boulder | — | 1 | 1–0 | 100% | 0.05 |
| shelter | — | 1 | 1–0 | 100% | 0.17 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Mirage 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
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.4502% — below the 15% mark we flag
- 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 37.5139% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.00 | 12% | 27 Aug → | ||
| 13–10 | -0.06 | 15% | 26 Aug → | ||
| 13–10 | -0.01 | 8% | 26 Aug → | ||
| 6–13 | 0.00 | 14% | 22 Aug → | ||
| 13–11 | -0.05 | 11% | 22 Aug → | ||
| 9–13 | 0.02 | 14% | 22 Aug → | ||
| 6–13 | -0.08 | 6% | 22 Aug → | ||
| 7–13 | 0.01 | 8% | 22 Aug → | ||
| 13–9 | -0.02 | 14% | 21 Aug → | ||
| 13–9 | 0.06 | 8% | 21 Aug → | ||
| 13–7 | 0.06 | 18% | 20 Aug → | ||
| 13–6 | -0.03 | 11% | 20 Aug → | ||
| office | 9–13 | 0.00 | 16% | 20 Aug → | |
| office | 13–4 | 0.00 | 15% | 20 Aug → | |
| 5–13 | -0.04 | 9% | 18 Aug → | ||
| 6–13 | -0.05 | 9% | 15 Aug → | ||
| 0–5 | -0.05 | 40% | 14 Aug → | ||
| 5–13 | 0.01 | 7% | 14 Aug → | ||
| 2–13 | -0.07 | 15% | 12 Aug → | ||
| 13–10 | -0.01 | 10% | 12 Aug → | ||
| 3–13 | -0.06 | 8% | 12 Aug → | ||
| 13–4 | 0.05 | 18% | 11 Aug → | ||
| office | 13–9 | 0.04 | 8% | 11 Aug → | |
| office | 13–1 | 0.17 | 24% | 11 Aug → | |
| office | 9–13 | -0.01 | 4% | 11 Aug → | |
| 13–10 | 0.04 | 10% | 11 Aug → | ||
| office | 6–13 | 0.04 | 27% | 11 Aug → | |
| 5–13 | -0.01 | 7% | 7 Aug → | ||
| 15–15 | -0.00 | 19% | 7 Aug → | ||
| office | 13–8 | -0.01 | 9% | 7 Aug → | |
| 4–2 | 0.01 | 20% | 4 Aug → | ||
| 8–13 | -0.08 | 0% | 3 Aug → | ||
| 10–13 | -0.02 | 13% | 3 Aug → | ||
| 13–7 | 0.05 | 11% | 3 Aug → | ||
| office | 9–13 | -0.03 | 10% | 2 Aug → | |
| 13–11 | 0.00 | 17% | 29 Jul → | ||
| 10–13 | 0.08 | 15% | 17 Jul → | ||
| 13–16 | -0.01 | 9% | 17 Jul → | ||
| 12–16 | -0.02 | 12% | 17 Jul → | ||
| 13–8 | -0.03 | 2% | 17 Jul → | ||
| 13–4 | 0.05 | 8% | 17 Jul → | ||
| 13–7 | -0.02 | 7% | 17 Jul → | ||
| 3–13 | -0.04 | 5% | 17 Jul → | ||
| 13–10 | 0.00 | 15% | 17 Jul → | ||
| 6–13 | -0.01 | 8% | 17 Jul → | ||
| 5–13 | -0.04 | 8% | 17 Jul → | ||
| 7–13 | -0.03 | 14% | 17 Jul → | ||
| 13–9 | 0.06 | 6% | 17 Jul → | ||
| 13–2 | 0.08 | 4% | 17 Jul → | ||
| 6–13 | -0.01 | 3% | 17 Jul → | ||
| 13–9 | 0.05 | 15% | 16 Jul → | ||
| 16–13 | 0.08 | 14% | 16 Jul → | ||
| 13–6 | 0.04 | 17% | 16 Jul → | ||
| 13–11 | 0.06 | 10% | 16 Jul → | ||
| 7–13 | 0.08 | 19% | 16 Jul → | ||
| 13–9 | 0.04 | 13% | 16 Jul → | ||
| 11–13 | 0.04 | 8% | 15 Jul → | ||
| 5–13 | -0.01 | 5% | 15 Jul → | ||
| 8–13 | 0.04 | 14% | 15 Jul → | ||
| 13–4 | 0.04 | 13% | 15 Jul → | ||
| 13–8 | 0.01 | 13% | 15 Jul → | ||
| 10–13 | 0.03 | 23% | 15 Jul → | ||
| 7–13 | 0.10 | 11% | 15 Jul → | ||
| 13–8 | 0.05 | 14% | 15 Jul → | ||
| 13–3 | -0.04 | 16% | 15 Jul → | ||
| 15–15 | 0.01 | 13% | 15 Jul → | ||
| 5–13 | -0.01 | 24% | 15 Jul → | ||
| fachwerk | 8–13 | 0.01 | 17% | 15 Jul → | |
| 16–13 | 0.01 | 15% | 15 Jul → | ||
| office | 13–6 | 0.00 | 12% | 14 Jul → | |
| 8–13 | -0.06 | 7% | 14 Jul → | ||
| 13–9 | 0.02 | 9% | 14 Jul → | ||
| 13–8 | 0.06 | 10% | 14 Jul → | ||
| 8–13 | -0.01 | 6% | 14 Jul → | ||
| 10–13 | -0.02 | 7% | 13 Jul → | ||
| 16–14 | 0.02 | 11% | 13 Jul → | ||
| 15–15 | 0.02 | 16% | 12 Jul → | ||
| 15–15 | -0.05 | 16% | 12 Jul → | ||
| 13–8 | 0.08 | 7% | 12 Jul → | ||
| 4–13 | -0.05 | 18% | 12 Jul → | ||
| 13–8 | 0.03 | 18% | 12 Jul → | ||
| 8–13 | -0.03 | 16% | 12 Jul → | ||
| 13–11 | 0.02 | 9% | 12 Jul → | ||
| 16–12 | 0.06 | 7% | 11 Jul → | ||
| 10–13 | -0.00 | 12% | 11 Jul → | ||
| 13–8 | 0.00 | 7% | 11 Jul → | ||
| 6–13 | 0.04 | 15% | 11 Jul → | ||
| 13–10 | 0.05 | 11% | 11 Jul → | ||
| 13–5 | 0.05 | 5% | 11 Jul → | ||
| boulder | 13–3 | 0.05 | 13% | 11 Jul → | |
| shelter | 13–11 | 0.17 | 16% | 10 Jul → | |
| fachwerk | 10–13 | 0.07 | 16% | 10 Jul → | |
| 4–13 | -0.06 | 4% | 10 Jul → | ||
| office | 12–12 | 0.06 | 13% | 10 Jul → | |
| office | 13–6 | 0.13 | 22% | 10 Jul → | |
| office | 13–8 | 0.04 | 12% | 10 Jul → | |
| fachwerk | 13–5 | 0.15 | 10% | 10 Jul → | |
| office | 13–4 | 0.16 | 9% | 10 Jul → | |
| office | 13–8 | 0.07 | 19% | 9 Jul → | |
| office | 13–5 | 0.08 | 19% | 9 Jul → |
Match data via Leetify.