QuikTac — CS2 Stats
LT76561198159062885[U:1:198797157]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 50.4% | 52.0% |
| Shot accuracy | 11.5% | 13.7% |
| Kill/death ratio | 1.12 | 1.08 |
| Match win rate | 48.7% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerEffective flashes
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 s1mple 96% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Aim. Aim score of 92 — the mechanical foundation is a clear strength.
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.81 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 66% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.
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 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 29 | 16–13 | 55% | 0.03 | |
| C | 20 | 7–13 | 35% | 0.01 | |
| C | 16 | 7–9 | 44% | -0.01 | |
| S | 13 | 9–4 | 69% | 0.04 | |
| C | 11 | 4–7 | 36% | 0.04 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| D | 5 | 1–4 | 20% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 85 | 66% | 1.42 | 18.7 |
| Mirage | 71 | 52% | 1.25 | 18.7 |
| Inferno | 58 | 41% | 1.09 | 16.8 |
| Anubis | 51 | 55% | 1.25 | 17.6 |
| Ancient | 38 | 42% | 1.15 | 17.1 |
| Vertigo | 13 | 54% | 1.24 | 19.4 |
| Train | 9 | 56% | 1.24 | 17.1 |
| Cache | 9 | 78% | 1.47 | 20.4 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.01 | 17% | 29 Aug → | ||
| 10–13 | 0.01 | 22% | 29 Aug → | ||
| 3–13 | -0.04 | 25% | 29 Aug → | ||
| 5–13 | -0.02 | 27% | 29 Aug → | ||
| 13–9 | 0.10 | 21% | 28 Aug → | ||
| 13–9 | -0.01 | 26% | 28 Aug → | ||
| 13–8 | 0.05 | 29% | 28 Aug → | ||
| 9–13 | 0.02 | 23% | 28 Aug → | ||
| 15–15 | 0.01 | 11% | 28 Aug → | ||
| 10–13 | 0.05 | 22% | 28 Aug → | ||
| 13–11 | 0.04 | 17% | 27 Aug → | ||
| 3–13 | -0.00 | 20% | 27 Aug → | ||
| 13–11 | 0.02 | 21% | 27 Aug → | ||
| 7–13 | -0.04 | 28% | 26 Aug → | ||
| 14–16 | -0.02 | 31% | 26 Aug → | ||
| 0–13 | -0.10 | 15% | 25 Aug → | ||
| 9–13 | 0.01 | 25% | 25 Aug → | ||
| 13–1 | 0.07 | 27% | 25 Aug → | ||
| 13–5 | 0.11 | 21% | 25 Aug → | ||
| 13–10 | -0.01 | 16% | 25 Aug → | ||
| 7–13 | 0.04 | 13% | 25 Aug → | ||
| 13–11 | 0.04 | 21% | 25 Aug → | ||
| 13–10 | -0.01 | 23% | 25 Aug → | ||
| 13–7 | 0.05 | 30% | 24 Aug → | ||
| 16–14 | 0.01 | 29% | 24 Aug → | ||
| 13–4 | 0.03 | 29% | 24 Aug → | ||
| 10–13 | 0.13 | 29% | 24 Aug → | ||
| 13–10 | 0.09 | 26% | 24 Aug → | ||
| 5–13 | -0.08 | 31% | 23 Aug → | ||
| 13–10 | 0.02 | 35% | 23 Aug → | ||
| 13–4 | -0.02 | 19% | 23 Aug → | ||
| 9–13 | 0.02 | 29% | 23 Aug → | ||
| 6–13 | -0.04 | 29% | 22 Aug → | ||
| 10–13 | -0.06 | 24% | 22 Aug → | ||
| 13–11 | 0.05 | 33% | 22 Aug → | ||
| 9–13 | 0.01 | 20% | 22 Aug → | ||
| 13–4 | -0.03 | 25% | 22 Aug → | ||
| 13–7 | 0.14 | 38% | 22 Aug → | ||
| 10–0 | -0.03 | 6% | 22 Aug → | ||
| 8–13 | 0.00 | 27% | 22 Aug → | ||
| 13–7 | 0.07 | 23% | 21 Aug → | ||
| 10–13 | -0.02 | 21% | 21 Aug → | ||
| 3–13 | -0.02 | 28% | 20 Aug → | ||
| 13–4 | 0.13 | 21% | 20 Aug → | ||
| 13–5 | 0.01 | 32% | 19 Aug → | ||
| 13–9 | 0.05 | 20% | 19 Aug → | ||
| 9–13 | 0.06 | 32% | 19 Aug → | ||
| 9–13 | 0.01 | 25% | 18 Aug → | ||
| 3–13 | -0.03 | 33% | 18 Aug → | ||
| 13–11 | 0.02 | 26% | 18 Aug → | ||
| 13–3 | 0.12 | 31% | 18 Aug → | ||
| 13–10 | 0.05 | 27% | 17 Aug → | ||
| 7–13 | -0.02 | 21% | 17 Aug → | ||
| 13–7 | -0.01 | 26% | 17 Aug → | ||
| 5–13 | -0.00 | 28% | 12 Aug → | ||
| 13–6 | 0.06 | 35% | 11 Aug → | ||
| 13–4 | 0.00 | 27% | 11 Aug → | ||
| 12–16 | -0.01 | 21% | 11 Aug → | ||
| 1–13 | -0.01 | 33% | 10 Aug → | ||
| 13–8 | 0.06 | 18% | 10 Aug → | ||
| 0–13 | -0.05 | 20% | 10 Aug → | ||
| 10–13 | -0.01 | 22% | 10 Aug → | ||
| 13–10 | -0.02 | 18% | 10 Aug → | ||
| 4–13 | -0.03 | 21% | 10 Aug → | ||
| 4–13 | -0.01 | 32% | 10 Aug → | ||
| 13–2 | 0.17 | 30% | 10 Aug → | ||
| 13–11 | 0.03 | 24% | 10 Aug → | ||
| 11–13 | 0.00 | 33% | 9 Aug → | ||
| 5–13 | -0.07 | 15% | 9 Aug → | ||
| 13–10 | 0.09 | 25% | 9 Aug → | ||
| 13–11 | 0.00 | 24% | 9 Aug → | ||
| 13–11 | 0.02 | 22% | 9 Aug → | ||
| 11–13 | 0.05 | 20% | 9 Aug → | ||
| 3–9 | -0.22 | 17% | 8 Aug → | ||
| 9–13 | 0.03 | 20% | 6 Aug → | ||
| 7–13 | -0.00 | 29% | 6 Aug → | ||
| 13–6 | 0.17 | 28% | 4 Aug → | ||
| 15–15 | -0.01 | 17% | 3 Aug → | ||
| 15–15 | 0.05 | 31% | 2 Aug → | ||
| 13–9 | 0.00 | 20% | 2 Aug → | ||
| 13–4 | 0.07 | 15% | 2 Aug → | ||
| 7–13 | -0.04 | 21% | 30 Jul → | ||
| 5–13 | 0.08 | 23% | 30 Jul → | ||
| 13–5 | 0.14 | 18% | 30 Jul → | ||
| 13–9 | 0.13 | 34% | 30 Jul → | ||
| 13–8 | 0.07 | 26% | 29 Jul → | ||
| 9–13 | -0.07 | 17% | 28 Jul → | ||
| 4–13 | 0.00 | 18% | 28 Jul → | ||
| 4–13 | 0.01 | 34% | 27 Jul → | ||
| 1–7 | 0.04 | 64% | 24 Jul → | ||
| 4–13 | -0.03 | 33% | 24 Jul → | ||
| 13–10 | 0.06 | 29% | 24 Jul → | ||
| 5–13 | -0.04 | 23% | 23 Jul → | ||
| 6–13 | 0.02 | 26% | 23 Jul → | ||
| 10–13 | -0.02 | 20% | 23 Jul → | ||
| 10–13 | -0.02 | 19% | 23 Jul → | ||
| 13–11 | 0.09 | 22% | 23 Jul → | ||
| 16–12 | 0.01 | 33% | 22 Jul → | ||
| 13–6 | 0.08 | 21% | 22 Jul → | ||
| 6–13 | 0.05 | 17% | 22 Jul → |
Match data via Leetify.