Antfluenza — CS2 Stats
76561198142426037[U:1:182160309]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · +0.04 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 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 553ms 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 |
|---|---|---|---|---|---|
| A | 26 | 15–11 | 58% | -0.00 | |
| C | 23 | 10–13 | 43% | -0.01 | |
| B | 15 | 8–7 | 53% | -0.00 | |
| A | 12 | 7–5 | 58% | 0.01 | |
| C | 10 | 4–6 | 40% | -0.03 | |
| C | 9 | 4–5 | 44% | -0.02 | |
| — | 4 | 1–3 | 25% | -0.04 | |
| — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 72 | 57% | 1.12 | 14.6 |
| Dust2 | 60 | 53% | 1.03 | 14.8 |
| Ancient | 41 | 54% | 1.07 | 16.1 |
| Inferno | 34 | 53% | 0.97 | 14.1 |
| Anubis | 27 | 56% | 1.05 | 14.3 |
| Cache | 26 | 38% | 0.87 | 13.5 |
| Nuke | 13 | 31% | 0.93 | 14.7 |
| Overpass | 10 | 70% | 0.95 | 14.9 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4822 — below the 0.5 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 31.746% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.01 | 30% | 24 Aug → | ||
| 13–10 | -0.01 | 23% | 24 Aug → | ||
| 13–9 | 0.04 | 20% | 21 Aug → | ||
| 13–3 | 0.03 | 42% | 19 Aug → | ||
| 13–5 | 0.10 | 38% | 19 Aug → | ||
| 13–11 | -0.00 | 29% | 19 Aug → | ||
| 13–10 | 0.03 | 45% | 18 Aug → | ||
| 11–13 | 0.01 | 27% | 18 Aug → | ||
| 13–2 | 0.08 | 25% | 16 Aug → | ||
| 13–8 | 0.01 | 21% | 12 Aug → | ||
| 13–10 | 0.03 | 29% | 12 Aug → | ||
| 8–13 | -0.09 | 26% | 12 Aug → | ||
| 3–13 | -0.08 | 10% | 12 Aug → | ||
| 9–13 | -0.02 | 29% | 12 Aug → | ||
| 13–10 | -0.02 | 31% | 12 Aug → | ||
| 11–13 | -0.02 | 38% | 11 Aug → | ||
| 11–13 | -0.02 | 20% | 11 Aug → | ||
| 13–4 | 0.01 | 24% | 11 Aug → | ||
| 13–10 | 0.05 | 32% | 10 Aug → | ||
| 9–13 | 0.08 | 32% | 7 Aug → | ||
| 16–12 | -0.00 | 26% | 5 Aug → | ||
| 1–13 | -0.04 | 36% | 4 Aug → | ||
| 13–9 | -0.07 | 20% | 29 Jul → | ||
| 13–10 | -0.01 | 22% | 27 Jul → | ||
| 16–12 | -0.04 | 27% | 26 Jul → | ||
| 7–13 | -0.02 | 24% | 26 Jul → | ||
| 13–3 | -0.00 | 29% | 25 Jul → | ||
| 13–9 | 0.00 | 21% | 23 Jul → | ||
| 13–7 | -0.02 | 18% | 22 Jul → | ||
| 2–13 | -0.08 | 32% | 21 Jul → | ||
| 13–8 | -0.00 | 27% | 21 Jul → | ||
| 13–3 | 0.10 | 15% | 21 Jul → | ||
| 13–10 | 0.01 | 33% | 20 Jul → | ||
| 9–13 | -0.01 | 23% | 20 Jul → | ||
| 13–9 | -0.00 | 22% | 6 Jul → | ||
| 11–13 | 0.04 | 25% | 2 Jul → | ||
| 13–10 | -0.00 | 22% | 1 Jul → | ||
| 11–13 | -0.01 | 36% | 1 Jul → | ||
| 16–14 | -0.04 | 22% | 1 Jul → | ||
| 4–13 | -0.05 | 32% | 30 Jun → | ||
| 10–13 | 0.00 | 29% | 25 Jun → | ||
| 13–3 | 0.11 | 16% | 25 Jun → | ||
| 13–6 | 0.03 | 30% | 25 Jun → | ||
| 9–13 | -0.04 | 18% | 25 Jun → | ||
| 13–5 | 0.07 | 18% | 24 Jun → | ||
| 7–13 | -0.04 | 24% | 23 Jun → | ||
| 9–13 | -0.03 | 31% | 23 Jun → | ||
| 8–13 | -0.00 | 21% | 23 Jun → | ||
| 13–3 | 0.14 | 35% | 23 Jun → | ||
| 13–11 | 0.01 | 19% | 23 Jun → | ||
| 13–11 | -0.07 | 23% | 22 Jun → | ||
| 4–13 | -0.05 | 16% | 22 Jun → | ||
| 5–13 | -0.04 | 21% | 21 Jun → | ||
| 9–13 | -0.04 | 14% | 20 Jun → | ||
| 2–13 | -0.02 | 45% | 17 Jun → | ||
| 10–13 | -0.08 | 22% | 17 Jun → | ||
| 11–13 | 0.00 | 19% | 17 Jun → | ||
| 14–16 | -0.04 | 15% | 17 Jun → | ||
| 14–16 | -0.05 | 20% | 17 Jun → | ||
| 9–13 | -0.07 | 23% | 16 Jun → | ||
| 13–9 | 0.09 | 33% | 15 Jun → | ||
| 5–13 | -0.07 | 21% | 14 Jun → | ||
| 11–13 | -0.05 | 27% | 14 Jun → | ||
| 13–9 | -0.00 | 13% | 14 Jun → | ||
| 13–8 | 0.01 | 26% | 14 Jun → | ||
| 11–13 | -0.02 | 30% | 12 Jun → | ||
| 16–14 | -0.00 | 22% | 11 Jun → | ||
| 13–9 | -0.08 | 15% | 9 Jun → | ||
| 3–13 | -0.03 | 25% | 6 Jun → | ||
| 13–5 | -0.02 | 19% | 2 Jun → | ||
| 11–13 | -0.05 | 20% | 2 Jun → | ||
| 19–15 | 0.01 | 19% | 1 Jun → | ||
| 9–13 | -0.05 | 11% | 31 May → | ||
| 13–16 | -0.00 | 33% | 25 May → | ||
| 4–13 | -0.09 | 16% | 14 May → | ||
| 12–16 | -0.04 | 20% | 13 May → | ||
| 1–13 | -0.08 | 27% | 7 May → | ||
| 13–8 | 0.03 | 34% | 7 May → | ||
| 8–13 | -0.12 | 22% | 7 May → | ||
| 13–5 | -0.02 | 23% | 7 May → | ||
| 13–8 | -0.01 | 32% | 29 Apr → | ||
| 5–13 | -0.04 | 28% | 29 Apr → | ||
| 12–16 | -0.08 | 23% | 29 Apr → | ||
| 13–3 | -0.01 | 21% | 29 Apr → | ||
| 11–13 | -0.05 | 15% | 27 Apr → | ||
| 13–16 | -0.02 | 19% | 16 Apr → | ||
| 6–13 | -0.08 | 15% | 16 Apr → | ||
| 13–7 | -0.00 | 12% | 15 Apr → | ||
| 13–3 | 0.12 | 31% | 15 Apr → | ||
| 13–1 | -0.03 | 8% | 13 Apr → | ||
| 12–16 | 0.04 | 28% | 7 Apr → | ||
| 13–7 | 0.04 | 21% | 1 Apr → | ||
| 5–13 | -0.02 | 26% | 1 Apr → | ||
| 10–13 | 0.02 | 36% | 1 Apr → | ||
| 7–13 | -0.04 | 24% | 1 Apr → | ||
| 10–13 | 0.03 | 25% | 1 Apr → | ||
| 13–11 | -0.00 | 25% | 31 Mar → | ||
| 9–13 | -0.04 | 27% | 31 Mar → | ||
| 13–7 | 0.04 | 48% | 30 Mar → | ||
| 13–10 | -0.02 | 18% | 30 Mar → |
Match data via Leetify.