Swante — CS2 Stats
76561198322353618[U:1:362087890]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 b1t 92% 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
T-side openings. Opening success drops from 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 594ms 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 6.4/10 (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 |
|---|---|---|---|---|---|
 dust2 | S | 24 | 16–8 | 67% | 0.03 |
 inferno | B | 16 | 8–8 | 50% | 0.01 |
 mirage | C | 14 | 5–9 | 36% | 0.01 |
 nuke | D | 12 | 3–9 | 25% | 0.01 |
 ancient | B | 10 | 5–5 | 50% | 0.01 |
 anubis | B | 8 | 4–4 | 50% | 0.01 |
 cache | S | 6 | 4–2 | 67% | 0.05 |
 overpass | D | 6 | 2–4 | 33% | -0.01 |
| office | — | 2 | 1–1 | 50% | -0.01 |
 train | — | 1 | 1–0 | 100% | 0.04 |
 vertigo | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 6 | 67% | 1.42 | 15.8 |
| Nuke | 3 | 67% | 0.90 | 12.0 |
| Vertigo | 3 | 67% | 1.30 | 23.3 |
| Inferno | 3 | 67% | 1.55 | 18.3 |
| Dust2 | 2 | 100% | 1.48 | 29.0 |
| Ancient | 2 | 50% | 1.20 | 21.5 |
| Anubis | 1 | 0% | 1.57 | 22.0 |
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 33.7989% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 3–13 | -0.00 | 18% | 24 Aug → | |
| inferno | 2–13 | -0.10 | 24% | 21 Aug → | |
| dust2 | 13–9 | -0.01 | 19% | 21 Aug → | |
| cache | 13–8 | 0.04 | 18% | 12 Jul → | |
| dust2 | 5–13 | 0.00 | 16% | 11 Jul → | |
| train | 13–9 | 0.04 | 33% | 11 Jul → | |
| inferno | 13–6 | 0.06 | 30% | 11 Jul → | |
| cache | 13–7 | 0.16 | 27% | 6 Jul → | |
| nuke | 1–13 | -0.07 | 24% | 6 Jul → | |
| anubis | 13–5 | 0.03 | 24% | 6 Jul → | |
| ancient | 13–10 | 0.01 | 31% | 5 Jul → | |
| mirage | 13–2 | -0.02 | 14% | 5 Jul → | |
| ancient | 10–13 | -0.05 | 11% | 5 Jul → | |
| dust2 | 13–4 | 0.05 | 35% | 5 Jul → | |
| mirage | 3–13 | -0.09 | 29% | 5 Jul → | |
| nuke | 8–13 | 0.02 | 23% | 3 Jul → | |
| dust2 | 16–14 | 0.02 | 24% | 2 Jul → | |
| dust2 | 13–9 | 0.04 | 37% | 2 Jul → | |
| mirage | 10–13 | 0.02 | 8% | 1 Jul → | |
| dust2 | 13–8 | -0.01 | 16% | 1 Jul → | |
| overpass | 8–13 | -0.03 | 39% | 30 Jun → | |
| dust2 | 10–13 | -0.01 | 22% | 30 Jun → | |
| overpass | 13–10 | 0.01 | 16% | 30 Jun → | |
| inferno | 10–13 | 0.01 | 31% | 29 Jun → | |
| overpass | 9–13 | 0.00 | 22% | 29 Jun → | |
| inferno | 13–11 | 0.05 | 24% | 29 Jun → | |
| dust2 | 13–10 | -0.00 | 23% | 29 Jun → | |
| mirage | 9–13 | -0.03 | 19% | 29 Jun → | |
| nuke | 4–13 | -0.03 | 13% | 29 Jun → | |
| ancient | 16–13 | 0.05 | 23% | 29 Jun → | |
| dust2 | 13–7 | 0.01 | 30% | 29 Jun → | |
| dust2 | 13–6 | 0.11 | 33% | 28 Jun → | |
| anubis | 3–13 | -0.03 | 10% | 28 Jun → | |
| mirage | 3–8 | 0.06 | 33% | 28 Jun → | |
| cache | 9–13 | 0.01 | 33% | 28 Jun → | |
| cache | 13–5 | 0.08 | 24% | 26 Jun → | |
| inferno | 10–13 | -0.01 | 15% | 26 Jun → | |
| overpass | 8–13 | -0.04 | 19% | 26 Jun → | |
| ancient | 8–13 | 0.03 | 22% | 26 Jun → | |
| mirage | 6–13 | 0.07 | 29% | 26 Jun → | |
| mirage | 1–13 | 0.01 | 34% | 25 Jun → | |
| nuke | 5–1 | 0.11 | 29% | 25 Jun → | |
| dust2 | 13–4 | 0.01 | 20% | 25 Jun → | |
| cache | 12–12 | 0.03 | 15% | 25 Jun → | |
| ancient | 13–1 | 0.16 | 18% | 25 Jun → | |
| mirage | 13–11 | 0.04 | 31% | 25 Jun → | |
| dust2 | 13–4 | 0.02 | 9% | 25 Jun → | |
| inferno | 13–9 | -0.02 | 37% | 25 Jun → | |
| nuke | 12–12 | 0.04 | 29% | 25 Jun → | |
| anubis | 13–5 | -0.05 | 13% | 25 Jun → | |
| dust2 | 7–13 | 0.00 | 11% | 21 Jun → | |
| overpass | 3–8 | 0.03 | 33% | 21 Jun → | |
| cache | 13–10 | -0.02 | 29% | 21 Jun → | |
| inferno | 13–2 | 0.12 | 18% | 21 Jun → | |
| nuke | 13–8 | 0.01 | 17% | 21 Jun → | |
| dust2 | 1–8 | 0.03 | 15% | 21 Jun → | |
| inferno | 13–7 | 0.03 | 20% | 20 Jun → | |
| anubis | 5–13 | -0.01 | 14% | 20 Jun → | |
| inferno | 0–2 | -0.18 | 0% | 20 Jun → | |
| mirage | 12–12 | 0.01 | 21% | 20 Jun → | |
| inferno | 7–13 | 0.01 | 21% | 20 Jun → | |
| ancient | 13–10 | 0.02 | 32% | 20 Jun → | |
| dust2 | 13–9 | 0.11 | 31% | 19 Jun → | |
| dust2 | 13–10 | 0.06 | 37% | 17 Jun → | |
| anubis | 12–12 | 0.00 | 19% | 17 Jun → | |
| nuke | 12–12 | 0.02 | 33% | 17 Jun → | |
| anubis | 7–13 | 0.01 | 28% | 15 Jun → | |
| inferno | 11–13 | 0.04 | 23% | 15 Jun → | |
| ancient | 4–13 | 0.01 | 26% | 15 Jun → | |
| inferno | 7–13 | -0.00 | 27% | 15 Jun → | |
| nuke | 11–13 | -0.00 | 17% | 15 Jun → | |
| mirage | 5–13 | 0.00 | 12% | 15 Jun → | |
| dust2 | 12–12 | 0.10 | 24% | 15 Jun → | |
| overpass | 13–9 | -0.03 | 18% | 15 Jun → | |
| inferno | 13–8 | 0.10 | 21% | 10 Jun → | |
| dust2 | 13–10 | 0.10 | 21% | 10 Jun → | |
| nuke | 7–13 | 0.03 | 29% | 9 Jun → | |
| vertigo | 5–13 | -0.03 | 33% | 9 Jun → | |
| office | 13–6 | 0.03 | 37% | 9 Jun → | |
| dust2 | 4–13 | -0.07 | 26% | 5 Jun → | |
| dust2 | 9–13 | -0.01 | 13% | 4 Jun → | |
| dust2 | 13–10 | -0.02 | 11% | 4 Jun → | |
| dust2 | 12–12 | -0.03 | 27% | 3 Jun → | |
| dust2 | 13–9 | 0.09 | 22% | 2 Jun → | |
| mirage | 13–4 | 0.04 | 24% | 2 Jun → | |
| anubis | 13–9 | 0.12 | 27% | 31 May → | |
| ancient | 8–13 | -0.03 | 19% | 29 May → | |
| nuke | 13–10 | 0.03 | 24% | 29 May → | |
| mirage | 13–11 | 0.06 | 16% | 29 May → | |
| inferno | 13–11 | 0.07 | 31% | 26 May → | |
| mirage | 13–6 | 0.03 | 22% | 25 May → | |
| ancient | 0–13 | 0.01 | 67% | 25 May → | |
| ancient | 13–9 | -0.06 | 13% | 25 May → | |
| inferno | 13–4 | 0.03 | 29% | 25 May → | |
| dust2 | 13–5 | 0.01 | 17% | 25 May → | |
| mirage | 1–13 | -0.07 | 21% | 25 May → | |
| anubis | 13–10 | 0.02 | 16% | 25 May → | |
| nuke | 10–13 | -0.03 | 21% | 24 May → | |
| office | 1–5 | -0.05 | 50% | 24 May → | |
| nuke | 4–13 | -0.06 | 36% | 24 May → |
Match data via Leetify.