Swanex — CS2 Stats
76561198160865743[U:1:200600015]
Rating over time
Faceit ELO
- At peak — 777
- Next: Level 4 at 901 — 124 to go
- Reached: Level 3 · Level 2
- Level 3 first seen 2026-08-28
- Level 2 first seen 2026-08-28
Premier CS Rating
- At peak — 13,818
- Next: Purple band at 15,000 — 1,182 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-28
- Light Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.04 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 83% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
T-side openings. Opening success drops from 42% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 650ms 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 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 30 | 20–10 | 67% | 0.00 | |
| C | 24 | 9–15 | 38% | -0.01 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| C | 12 | 5–7 | 42% | -0.02 | |
| A | 9 | 5–4 | 56% | 0.00 | |
| B | 6 | 3–3 | 50% | 0.00 | |
| B | 6 | 3–3 | 50% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 17 | 53% | 0.73 | 10.5 |
| Inferno | 11 | 45% | 0.71 | 10.7 |
| Mirage | 7 | 29% | 0.65 | 10.4 |
| Ancient | 4 | 75% | 0.57 | 10.5 |
| Nuke | 2 | 0% | 0.53 | 8.5 |
| Train | 1 | 100% | 1.14 | 8.0 |
| Anubis | 1 | 100% | 1.07 | 15.0 |
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.
- 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 13.2214% — 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 22.3557% — 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 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | -0.06 | 10% | 27 Aug → | ||
| 8–13 | -0.02 | 21% | 26 Aug → | ||
| 13–7 | -0.04 | 11% | 26 Aug → | ||
| 13–6 | 0.07 | 16% | 26 Aug → | ||
| 6–13 | -0.00 | 13% | 26 Aug → | ||
| 13–11 | -0.03 | 23% | 26 Aug → | ||
| 13–6 | -0.04 | 9% | 26 Aug → | ||
| 5–13 | -0.07 | 9% | 26 Aug → | ||
| 4–13 | -0.04 | 16% | 25 Aug → | ||
| 16–12 | -0.03 | 5% | 25 Aug → | ||
| 13–5 | 0.07 | 11% | 25 Aug → | ||
| 13–8 | -0.05 | 11% | 25 Aug → | ||
| 13–6 | -0.04 | 16% | 25 Aug → | ||
| 13–7 | -0.01 | 23% | 13 Aug → | ||
| 8–13 | 0.02 | 24% | 13 Aug → | ||
| 3–13 | -0.03 | 4% | 13 Aug → | ||
| 16–13 | 0.05 | 15% | 12 Aug → | ||
| 13–10 | 0.01 | 19% | 11 Aug → | ||
| 16–13 | 0.06 | 13% | 11 Aug → | ||
| 13–10 | 0.08 | 16% | 11 Aug → | ||
| 13–10 | 0.02 | 9% | 11 Aug → | ||
| 10–13 | 0.01 | 14% | 10 Aug → | ||
| 14–16 | -0.01 | 3% | 10 Aug → | ||
| 10–13 | -0.01 | 15% | 10 Aug → | ||
| 13–8 | 0.09 | 8% | 10 Aug → | ||
| 13–10 | 0.05 | 6% | 10 Aug → | ||
| 13–8 | 0.01 | 15% | 9 Aug → | ||
| 12–16 | -0.08 | 23% | 9 Aug → | ||
| 13–9 | 0.08 | 11% | 9 Aug → | ||
| 13–4 | 0.04 | 11% | 9 Aug → | ||
| 11–13 | 0.02 | 18% | 9 Aug → | ||
| 14–16 | 0.05 | 9% | 9 Aug → | ||
| 10–13 | -0.02 | 12% | 9 Aug → | ||
| 13–10 | 0.01 | 16% | 9 Aug → | ||
| 13–8 | 0.09 | 22% | 9 Aug → | ||
| 7–13 | -0.04 | 11% | 8 Aug → | ||
| 5–13 | -0.03 | 8% | 8 Aug → | ||
| 10–13 | -0.01 | 16% | 8 Aug → | ||
| 13–10 | 0.01 | 13% | 8 Aug → | ||
| 14–16 | 0.00 | 6% | 8 Aug → | ||
| 13–7 | -0.02 | 14% | 8 Aug → | ||
| 13–2 | 0.06 | 20% | 8 Aug → | ||
| 13–6 | 0.04 | 8% | 7 Aug → | ||
| 2–13 | -0.07 | 14% | 7 Aug → | ||
| 11–13 | -0.04 | 10% | 7 Aug → | ||
| 8–13 | -0.05 | 13% | 7 Aug → | ||
| 10–13 | -0.02 | 22% | 7 Aug → | ||
| 7–13 | -0.06 | 14% | 7 Aug → | ||
| 13–8 | 0.06 | 19% | 6 Aug → | ||
| 5–13 | -0.05 | 6% | 6 Aug → | ||
| 13–8 | 0.00 | 16% | 6 Aug → | ||
| 13–9 | 0.01 | 12% | 6 Aug → | ||
| 13–10 | -0.02 | 10% | 5 Aug → | ||
| 9–13 | -0.03 | 8% | 5 Aug → | ||
| 13–6 | 0.02 | 5% | 5 Aug → | ||
| 13–2 | 0.14 | 13% | 5 Aug → | ||
| 13–11 | -0.04 | 22% | 5 Aug → | ||
| 8–8 | 0.02 | 10% | 5 Aug → | ||
| 11–13 | -0.01 | 10% | 4 Aug → | ||
| 13–8 | -0.05 | 10% | 4 Aug → | ||
| 13–10 | -0.03 | 16% | 4 Aug → | ||
| 10–13 | 0.04 | 13% | 3 Aug → | ||
| 13–6 | 0.05 | 12% | 3 Aug → | ||
| 8–13 | -0.02 | 14% | 3 Aug → | ||
| 16–13 | -0.02 | 13% | 2 Aug → | ||
| 13–7 | 0.11 | 10% | 2 Aug → | ||
| 13–9 | -0.03 | 18% | 2 Aug → | ||
| 13–8 | 0.05 | 14% | 2 Aug → | ||
| 10–13 | -0.00 | 15% | 2 Aug → | ||
| 15–15 | 0.03 | 14% | 2 Aug → | ||
| 7–13 | -0.03 | 10% | 2 Aug → | ||
| 13–8 | -0.01 | 12% | 2 Aug → | ||
| 8–13 | 0.00 | 9% | 2 Aug → | ||
| 13–5 | 0.08 | 22% | 1 Aug → | ||
| 11–13 | -0.02 | 8% | 1 Aug → | ||
| 13–9 | -0.01 | 16% | 1 Aug → | ||
| 6–13 | -0.07 | 5% | 1 Aug → | ||
| 11–13 | -0.04 | 14% | 1 Aug → | ||
| 13–10 | 0.03 | 10% | 1 Aug → | ||
| 10–13 | -0.07 | 7% | 1 Aug → | ||
| 8–13 | -0.04 | 12% | 1 Aug → | ||
| 13–3 | 0.04 | 17% | 1 Aug → | ||
| 13–8 | 0.02 | 12% | 1 Aug → | ||
| 13–5 | 0.00 | 12% | 1 Aug → | ||
| 7–13 | -0.04 | 8% | 1 Aug → | ||
| 13–8 | -0.02 | 16% | 1 Aug → | ||
| 8–13 | -0.04 | 17% | 31 Jul → | ||
| 13–4 | -0.05 | 13% | 31 Jul → | ||
| 6–13 | -0.06 | 5% | 31 Jul → | ||
| 11–13 | -0.06 | 11% | 31 Jul → | ||
| 9–13 | -0.06 | 3% | 31 Jul → | ||
| 6–13 | -0.04 | 5% | 31 Jul → | ||
| 13–2 | 0.05 | 10% | 31 Jul → | ||
| 11–13 | -0.05 | 14% | 31 Jul → | ||
| 4–13 | -0.05 | 15% | 30 Jul → | ||
| 9–13 | 0.03 | 16% | 30 Jul → | ||
| 13–4 | 0.00 | 11% | 30 Jul → | ||
| 13–6 | -0.02 | 11% | 29 Jul → | ||
| 9–13 | -0.09 | 9% | 29 Jul → | ||
| 2–13 | -0.07 | 21% | 29 Jul → |
Match data via Leetify.
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