euphor1C — CS2 Stats
76561199168837705[U:1:1208571977]
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 | 37.0% | 48.1% | 11.0% short |
| Shot accuracy | 11.6% | 12.9% | 1.3% short |
| Kill/death ratio | 0.88 | 1.08 | 0.20 short |
| Match win rate | 38.5% | 46.5% | 8.0% short |
This profile sits below the typical Pink band player on every metric we can compare.
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 · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 device 92% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Strengths
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 65% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 634ms 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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| S | 55 | 38–17 | 69% | 0.02 | |
| S | 19 | 14–5 | 74% | 0.00 | |
| S | 14 | 10–4 | 71% | 0.01 | |
| S | 6 | 5–1 | 83% | -0.00 | |
| — | 2 | 2–0 | 100% | -0.03 | |
| — | 2 | 2–0 | 100% | -0.02 | |
| — | 1 | 1–0 | 100% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (69% over 55). Start with the 6 essential Dust 2 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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 34 | 53% | 0.94 | 13.3 |
| Dust2 | 32 | 50% | 1.16 | 15.9 |
| Nuke | 13 | 62% | 1.06 | 13.9 |
| Inferno | 13 | 31% | 0.85 | 13.0 |
| Ancient | 9 | 78% | 0.84 | 13.7 |
| Overpass | 8 | 75% | 1.08 | 13.6 |
| Anubis | 4 | 50% | 0.87 | 13.5 |
| Cache | 4 | 75% | 1.05 | 20.0 |
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 36.1064% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.10 | 22% | 28 Aug → | ||
| 13–16 | -0.03 | 19% | 28 Aug → | ||
| 13–11 | -0.01 | 20% | 28 Aug → | ||
| 6–13 | -0.00 | 31% | 28 Aug → | ||
| 13–11 | -0.00 | 39% | 28 Aug → | ||
| 13–9 | 0.08 | 29% | 28 Aug → | ||
| 13–6 | -0.00 | 23% | 15 Jun → | ||
| 13–6 | -0.01 | 22% | 15 Jun → | ||
| 6–13 | -0.05 | 10% | 14 Jun → | ||
| 13–6 | -0.01 | 14% | 14 Jun → | ||
| 16–12 | -0.01 | 13% | 14 Jun → | ||
| 5–13 | 0.07 | 39% | 13 Jun → | ||
| 13–10 | 0.00 | 26% | 13 Jun → | ||
| 2–13 | -0.00 | 19% | 13 Jun → | ||
| 13–4 | 0.01 | 26% | 13 Jun → | ||
| 13–16 | 0.01 | 24% | 13 Jun → | ||
| 13–7 | 0.05 | 13% | 13 Jun → | ||
| 10–1 | -0.01 | 29% | 13 Jun → | ||
| 8–13 | -0.03 | 20% | 12 Jun → | ||
| 13–2 | 0.16 | 11% | 12 Jun → | ||
| 13–8 | -0.00 | 25% | 12 Jun → | ||
| 13–9 | 0.04 | 16% | 10 Jun → | ||
| 13–4 | -0.08 | 14% | 10 Jun → | ||
| 9–4 | -0.05 | 15% | 10 Jun → | ||
| 11–5 | 0.06 | 11% | 9 Jun → | ||
| 5–13 | 0.00 | 24% | 9 Jun → | ||
| 13–8 | 0.03 | 16% | 9 Jun → | ||
| 7–13 | -0.05 | 33% | 8 Jun → | ||
| 13–6 | 0.06 | 27% | 8 Jun → | ||
| 13–11 | 0.06 | 22% | 8 Jun → | ||
| 7–13 | -0.03 | 36% | 7 Jun → | ||
| 13–16 | -0.00 | 8% | 7 Jun → | ||
| 13–10 | 0.02 | 20% | 7 Jun → | ||
| 13–11 | -0.05 | 20% | 7 Jun → | ||
| 13–4 | 0.04 | 17% | 7 Jun → | ||
| 13–7 | 0.02 | 27% | 7 Jun → | ||
| 0–13 | -0.01 | 13% | 7 Jun → | ||
| 13–1 | 0.10 | 10% | 7 Jun → | ||
| 13–10 | -0.01 | 16% | 7 Jun → | ||
| 13–10 | 0.01 | 21% | 7 Jun → | ||
| 0–13 | -0.04 | 13% | 6 Jun → | ||
| 13–8 | -0.04 | 11% | 6 Jun → | ||
| 13–8 | -0.03 | 18% | 5 Jun → | ||
| 13–3 | 0.06 | 48% | 3 Jun → | ||
| 16–14 | 0.02 | 17% | 31 May → | ||
| 13–5 | -0.05 | 28% | 31 May → | ||
| 13–11 | -0.05 | 28% | 31 May → | ||
| 13–1 | 0.04 | 15% | 30 May → | ||
| 13–8 | -0.01 | 5% | 30 May → | ||
| 13–6 | 0.03 | 13% | 30 May → | ||
| 10–13 | 0.12 | 26% | 30 May → | ||
| 11–13 | -0.03 | 26% | 25 May → | ||
| 13–8 | -0.01 | 17% | 25 May → | ||
| 12–12 | 0.05 | 21% | 23 May → | ||
| 13–4 | 0.04 | 29% | 21 May → | ||
| 5–13 | -0.07 | 18% | 21 May → | ||
| 13–3 | 0.03 | 15% | 20 May → | ||
| 13–6 | 0.06 | 17% | 17 May → | ||
| 13–11 | 0.02 | 26% | 17 May → | ||
| 13–9 | -0.03 | 27% | 17 May → | ||
| 9–13 | -0.01 | 29% | 16 May → | ||
| 3–13 | -0.09 | 29% | 10 May → | ||
| 13–1 | 0.02 | 25% | 10 May → | ||
| 11–13 | -0.04 | 24% | 10 May → | ||
| 13–10 | -0.02 | 9% | 2 May → | ||
| 13–4 | 0.04 | 12% | 2 May → | ||
| 13–10 | 0.10 | 30% | 1 May → | ||
| 13–11 | -0.03 | 11% | 26 Apr → | ||
| 7–13 | -0.06 | 26% | 25 Apr → | ||
| 13–4 | 0.11 | 17% | 25 Apr → | ||
| 13–11 | 0.01 | 20% | 18 Apr → | ||
| 13–7 | 0.03 | 28% | 18 Apr → | ||
| 13–4 | -0.02 | 15% | 18 Apr → | ||
| 13–10 | 0.03 | 26% | 17 Apr → | ||
| 13–0 | 0.08 | 27% | 17 Apr → | ||
| 4–13 | 0.04 | 34% | 17 Apr → | ||
| 13–3 | 0.00 | 21% | 17 Apr → | ||
| 7–13 | -0.04 | 14% | 13 Apr → | ||
| 13–8 | 0.03 | 25% | 4 Apr → | ||
| 13–10 | 0.11 | 25% | 28 Mar → | ||
| 9–13 | -0.02 | 16% | 21 Mar → | ||
| 9–0 | 0.08 | 47% | 21 Mar → | ||
| 13–10 | -0.05 | 12% | 12 Mar → | ||
| 13–11 | 0.01 | 10% | 11 Mar → | ||
| 13–3 | 0.06 | 42% | 10 Mar → | ||
| 13–6 | 0.06 | 20% | 10 Mar → | ||
| 13–7 | -0.04 | 19% | 9 Mar → | ||
| 4–13 | -0.10 | 21% | 9 Mar → | ||
| 13–4 | 0.18 | 17% | 7 Mar → | ||
| 13–4 | 0.03 | 11% | 7 Mar → | ||
| 13–11 | 0.02 | 15% | 7 Mar → | ||
| 13–1 | 0.09 | 17% | 1 Mar → | ||
| 13–6 | 0.03 | 22% | 1 Mar → | ||
| 13–7 | -0.01 | 29% | 28 Feb → | ||
| 16–12 | 0.02 | 15% | 28 Feb → | ||
| 13–3 | 0.02 | 22% | 28 Feb → | ||
| 4–13 | 0.03 | 14% | 23 Feb → | ||
| 13–8 | 0.05 | 23% | 22 Feb → | ||
| 8–13 | -0.05 | 16% | 21 Feb → | ||
| 13–6 | -0.04 | 19% | 21 Feb → |
Match data via Leetify.