✪ Syckling — CS2 Stats
SE76561198080520670[U:1:120254942]Steam profile ↗
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 |
|---|---|---|
| Headshot rate | 52.0% | 48.1% |
| Shot accuracy | 15.0% | 12.9% |
| Kill/death ratio | 1.56 | 1.08 |
| Match win rate | 79.2% | 46.5% |
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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
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 b1t 88% playstyle similarity
Most alike: utility contribution, opening-duel success.
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. 62% 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 62% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 642ms 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 5.8/10 (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 |
|---|---|---|---|---|---|
| C | 23 | 9–14 | 39% | -0.03 | |
| C | 19 | 8–11 | 42% | -0.01 | |
| A | 13 | 8–5 | 62% | 0.01 | |
| A | 11 | 6–5 | 55% | -0.00 | |
| C | 8 | 3–5 | 38% | -0.02 | |
| S | 6 | 4–2 | 67% | 0.00 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 2 | 2–0 | 100% | 0.07 | |
| boulder | — | 2 | 0–2 | 0% | 0.00 |
| alpine | — | 2 | 1–1 | 50% | 0.03 |
| — | 1 | 0–1 | 0% | -0.07 | |
| italy | — | 1 | 0–1 | 0% | 0.05 |
| shelter | — | 1 | 0–1 | 0% | 0.19 |
| fachwerk | — | 1 | 0–1 | 0% | 0.01 |
| stronghold | — | 1 | 0–1 | 0% | -0.01 |
| warden | — | 1 | 0–1 | 0% | -0.01 |
| poseidon | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 80% | 1.12 | 15.8 |
| Inferno | 2 | 50% | 0.90 | 7.0 |
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 28.7498% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.03 | 32% | 16 Aug → | ||
| 13–8 | 0.03 | 24% | 15 Aug → | ||
| 9–0 | 0.46 | 46% | 13 Aug → | ||
| 13–11 | 0.04 | 24% | 13 Aug → | ||
| 11–13 | -0.05 | 19% | 13 Aug → | ||
| 13–8 | 0.03 | 19% | 11 Aug → | ||
| 9–13 | -0.00 | 28% | 9 Aug → | ||
| 2–13 | -0.02 | 29% | 9 Aug → | ||
| 2–13 | -0.07 | 29% | 9 Aug → | ||
| 13–10 | -0.04 | 23% | 8 Aug → | ||
| 13–3 | 0.08 | 13% | 6 Aug → | ||
| 8–13 | 0.01 | 27% | 6 Aug → | ||
| italy | 12–12 | 0.05 | 35% | 6 Aug → | |
| 13–9 | 0.03 | 15% | 31 Jul → | ||
| 16–14 | -0.02 | 25% | 30 Jul → | ||
| 13–9 | 0.05 | 14% | 30 Jul → | ||
| boulder | 12–12 | -0.03 | 38% | 30 Jul → | |
| boulder | 11–13 | 0.04 | 17% | 28 Jul → | |
| 8–3 | 0.02 | 21% | 28 Jul → | ||
| shelter | 12–12 | 0.19 | 32% | 27 Jul → | |
| fachwerk | 8–13 | 0.01 | 25% | 22 Jul → | |
| 0–13 | -0.04 | 0% | 22 Jul → | ||
| 13–6 | 0.05 | 18% | 20 Jul → | ||
| 2–13 | -0.11 | 20% | 17 Jul → | ||
| 15–15 | -0.02 | 20% | 14 Jul → | ||
| 13–5 | 0.01 | 9% | 14 Jul → | ||
| 13–11 | 0.00 | 14% | 12 Jul → | ||
| 13–5 | 0.02 | 35% | 12 Jul → | ||
| 13–3 | 0.02 | 14% | 12 Jul → | ||
| 4–13 | -0.04 | 19% | 12 Jul → | ||
| 11–13 | -0.10 | 28% | 12 Jul → | ||
| 8–13 | -0.07 | 8% | 12 Jul → | ||
| 8–13 | -0.02 | 21% | 12 Jul → | ||
| 13–11 | -0.02 | 16% | 11 Jul → | ||
| 13–10 | 0.00 | 31% | 9 Jul → | ||
| 13–11 | 0.01 | 18% | 9 Jul → | ||
| 8–13 | -0.07 | 21% | 9 Jul → | ||
| 13–5 | 0.04 | 26% | 9 Jul → | ||
| 13–8 | 0.04 | 25% | 9 Jul → | ||
| 7–13 | 0.00 | 26% | 9 Jul → | ||
| 13–6 | 0.04 | 19% | 2 Jul → | ||
| 13–9 | -0.02 | 17% | 2 Jul → | ||
| 16–14 | 0.04 | 11% | 2 Jul → | ||
| 9–13 | -0.01 | 18% | 2 Jul → | ||
| 16–13 | -0.01 | 21% | 30 Jun → | ||
| 10–13 | -0.01 | 18% | 30 Jun → | ||
| 13–8 | 0.04 | 16% | 21 Jun → | ||
| 10–13 | -0.02 | 13% | 21 Jun → | ||
| 13–6 | -0.03 | 12% | 18 Jun → | ||
| stronghold | 12–12 | -0.01 | 38% | 16 Jun → | |
| 5–13 | -0.06 | 19% | 15 Jun → | ||
| alpine | 10–13 | 0.06 | 25% | 13 Jun → | |
| 5–13 | -0.03 | 36% | 11 Jun → | ||
| 13–3 | -0.00 | 33% | 11 Jun → | ||
| 10–7 | -0.06 | 11% | 11 Jun → | ||
| 10–13 | -0.07 | 18% | 10 Jun → | ||
| 9–13 | 0.00 | 17% | 10 Jun → | ||
| 7–13 | -0.06 | 18% | 9 Jun → | ||
| 7–13 | -0.02 | 8% | 9 Jun → | ||
| 15–15 | 0.05 | 40% | 8 Jun → | ||
| 13–5 | -0.02 | 11% | 4 Jun → | ||
| 16–14 | -0.08 | 12% | 3 Jun → | ||
| 11–13 | 0.00 | 19% | 31 May → | ||
| warden | 9–13 | -0.01 | 23% | 31 May → | |
| alpine | 13–11 | -0.00 | 13% | 31 May → | |
| 10–13 | 0.04 | 21% | 31 May → | ||
| 11–13 | -0.01 | 20% | 26 May → | ||
| 13–8 | -0.02 | 19% | 23 May → | ||
| 13–9 | -0.08 | 12% | 20 May → | ||
| 10–13 | -0.00 | 17% | 20 May → | ||
| 13–10 | -0.07 | 13% | 19 May → | ||
| 15–15 | 0.01 | 18% | 19 May → | ||
| 10–13 | 0.01 | 19% | 19 May → | ||
| 13–7 | -0.03 | 33% | 17 May → | ||
| 13–1 | 0.03 | 25% | 17 May → | ||
| 12–16 | -0.10 | 19% | 17 May → | ||
| 13–11 | -0.03 | 19% | 14 May → | ||
| 4–13 | 0.02 | 20% | 14 May → | ||
| 16–14 | 0.04 | 27% | 14 May → | ||
| 15–15 | -0.06 | 20% | 11 May → | ||
| 13–2 | 0.02 | 16% | 9 May → | ||
| 13–10 | 0.01 | 21% | 9 May → | ||
| 9–13 | -0.03 | 28% | 7 May → | ||
| 13–11 | -0.05 | 30% | 6 May → | ||
| 2–13 | -0.08 | 21% | 6 May → | ||
| 12–12 | -0.04 | 17% | 5 May → | ||
| 5–13 | 0.00 | 20% | 26 Apr → | ||
| 15–15 | 0.00 | 26% | 26 Apr → | ||
| 12–16 | -0.01 | 21% | 25 Apr → | ||
| 2–13 | -0.04 | 27% | 25 Apr → | ||
| 13–16 | 0.04 | 19% | 25 Apr → | ||
| 3–13 | -0.05 | 10% | 25 Apr → | ||
| 13–6 | 0.06 | 14% | 24 Apr → | ||
| poseidon | 8–8 | 0.03 | 13% | 24 Apr → | |
| 0–9 | -0.19 | 17% | 24 Apr → | ||
| 13–10 | 0.00 | 19% | 23 Apr → | ||
| 15–15 | -0.01 | 19% | 23 Apr → | ||
| 11–13 | -0.06 | 7% | 23 Apr → | ||
| 13–11 | -0.01 | 6% | 14 Apr → | ||
| 14–16 | -0.01 | 11% | 14 Apr → |
Match data via Leetify.
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