Quantalis — CS2 Stats
76561198109501790[U:1:149236062]
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
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.
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 88% playstyle similarity
Most alike: opening-duel success, positioning profile.
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
Reaction time. 632ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
| S | 19 | 13–6 | 68% | 0.02 | |
| C | 17 | 7–10 | 41% | -0.01 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| B | 13 | 6–7 | 46% | 0.02 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| S | 6 | 4–2 | 67% | -0.03 | |
| S | 6 | 4–2 | 67% | -0.01 | |
| — | 4 | 1–3 | 25% | -0.06 | |
| — | 2 | 1–1 | 50% | -0.05 | |
| office | — | 2 | 1–1 | 50% | -0.02 |
| brewery | — | 1 | 0–1 | 0% | 0.20 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). 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 resultsWLLLL
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 29.6957% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.04 | 20% | 22 Jun → | ||
| 7–13 | -0.06 | 15% | 11 May → | ||
| 4–13 | -0.06 | 10% | 11 May → | ||
| 1–13 | -0.08 | 14% | 11 May → | ||
| 7–13 | -0.03 | 22% | 1 Apr → | ||
| 13–8 | -0.04 | 9% | 13 Feb → | ||
| 16–13 | -0.01 | 24% | 12 Feb → | ||
| 16–12 | -0.01 | 23% | 12 Feb → | ||
| 11–13 | -0.01 | 17% | 11 Feb → | ||
| 8–13 | -0.03 | 26% | 3 Feb → | ||
| 11–13 | 0.01 | 19% | 3 Feb → | ||
| 7–13 | -0.05 | 10% | 3 Feb → | ||
| 11–13 | -0.05 | 25% | 8 Jan → | ||
| 13–8 | 0.03 | 31% | 15 Dec → | ||
| 13–6 | 0.03 | 22% | 6 Nov → | ||
| 13–9 | -0.03 | 22% | 6 Nov → | ||
| 10–13 | -0.00 | 18% | 6 Nov → | ||
| 13–2 | 0.08 | 14% | 6 Nov → | ||
| 16–13 | 0.03 | 10% | 6 Nov → | ||
| 13–7 | 0.02 | 39% | 3 Jul → | ||
| 13–6 | 0.07 | 25% | 3 Jul → | ||
| 13–11 | -0.02 | 26% | 25 May → | ||
| 13–10 | 0.03 | 29% | 25 May → | ||
| 6–4 | -0.02 | 38% | 24 May → | ||
| brewery | 7–9 | 0.20 | 23% | 12 May → | |
| 12–12 | 0.02 | 18% | 12 May → | ||
| 9–13 | -0.07 | 25% | 11 May → | ||
| 13–9 | -0.01 | 18% | 5 May → | ||
| 13–9 | -0.00 | 11% | 27 Apr → | ||
| 7–13 | 0.00 | 15% | 27 Apr → | ||
| 15–15 | 0.02 | 15% | 27 Apr → | ||
| 10–13 | 0.01 | 23% | 22 Apr → | ||
| 13–7 | 0.02 | 22% | 22 Apr → | ||
| 13–7 | -0.03 | 15% | 21 Apr → | ||
| 16–12 | 0.04 | 20% | 21 Apr → | ||
| 12–12 | -0.02 | 16% | 20 Apr → | ||
| 9–13 | 0.01 | 33% | 20 Apr → | ||
| 8–13 | -0.05 | 13% | 20 Apr → | ||
| 13–16 | -0.03 | 13% | 20 Apr → | ||
| 9–7 | -0.03 | 14% | 28 Mar → | ||
| 11–13 | -0.04 | 34% | 28 Mar → | ||
| 13–6 | 0.00 | 28% | 28 Mar → | ||
| 5–13 | -0.03 | 39% | 28 Mar → | ||
| office | 12–12 | -0.01 | 24% | 23 Mar → | |
| 13–8 | 0.03 | 19% | 18 Mar → | ||
| 2–13 | -0.02 | 39% | 18 Mar → | ||
| 4–9 | -0.12 | 21% | 3 Mar → | ||
| 1–9 | -0.17 | 26% | 3 Mar → | ||
| 9–7 | 0.10 | 26% | 3 Mar → | ||
| 13–11 | -0.04 | 18% | 1 Mar → | ||
| 7–13 | -0.03 | 18% | 1 Mar → | ||
| 5–13 | -0.06 | 8% | 1 Mar → | ||
| 16–14 | -0.02 | 17% | 24 Feb → | ||
| 13–6 | 0.12 | 22% | 24 Feb → | ||
| 12–1 | 0.05 | 14% | 24 Feb → | ||
| 13–8 | 0.01 | 14% | 13 Feb → | ||
| 11–13 | 0.04 | 29% | 13 Feb → | ||
| 5–13 | -0.07 | 13% | 13 Feb → | ||
| 13–9 | 0.03 | 24% | 13 Feb → | ||
| 15–15 | 0.06 | 24% | 12 Feb → | ||
| 13–8 | 0.12 | 23% | 8 Feb → | ||
| 9–13 | -0.00 | 22% | 8 Feb → | ||
| 8–13 | -0.03 | 28% | 7 Feb → | ||
| 13–6 | 0.04 | 32% | 7 Feb → | ||
| 13–11 | 0.02 | 16% | 7 Feb → | ||
| 13–7 | 0.03 | 30% | 7 Feb → | ||
| 13–10 | 0.03 | 19% | 7 Feb → | ||
| 10–13 | -0.01 | 20% | 7 Feb → | ||
| 13–10 | 0.07 | 25% | 7 Feb → | ||
| 16–12 | -0.02 | 20% | 7 Feb → | ||
| office | 13–11 | -0.03 | 48% | 3 Feb → | |
| 13–2 | 0.02 | 45% | 3 Feb → | ||
| 11–13 | 0.02 | 19% | 3 Feb → | ||
| 16–13 | 0.05 | 25% | 3 Feb → | ||
| 13–8 | 0.08 | 40% | 3 Feb → | ||
| 11–13 | 0.01 | 55% | 3 Feb → | ||
| 13–9 | 0.05 | 24% | 1 Feb → | ||
| 4–13 | -0.04 | 14% | 1 Feb → | ||
| 13–4 | -0.01 | 29% | 1 Feb → | ||
| 13–8 | 0.08 | 35% | 1 Feb → | ||
| 13–10 | 0.03 | 16% | 31 Jan → | ||
| 8–8 | 0.08 | 26% | 31 Jan → | ||
| 8–13 | -0.04 | 18% | 30 Jan → | ||
| 11–13 | 0.02 | 25% | 30 Jan → | ||
| 5–13 | -0.03 | 37% | 30 Jan → | ||
| 16–12 | 0.04 | 24% | 30 Jan → | ||
| 2–13 | 0.01 | 26% | 29 Jan → | ||
| 2–13 | -0.02 | 26% | 29 Jan → | ||
| 8–13 | -0.03 | 11% | 29 Jan → | ||
| 13–11 | 0.07 | 31% | 29 Jan → | ||
| 13–9 | -0.01 | 12% | 29 Jan → | ||
| 6–13 | 0.08 | 18% | 25 Jan → | ||
| 13–7 | 0.09 | 27% | 25 Jan → | ||
| 3–13 | 0.01 | 21% | 25 Jan → | ||
| 9–5 | -0.07 | 33% | 25 Jan → | ||
| 1–9 | -0.13 | 5% | 25 Jan → | ||
| 3–9 | -0.13 | 4% | 25 Jan → | ||
| 6–9 | -0.02 | 26% | 25 Jan → | ||
| 13–3 | -0.02 | 33% | 23 Jan → | ||
| 7–13 | 0.01 | 23% | 23 Jan → |
Match data via Leetify.
Recent teammates
- 16Player 57061626 recent matches together
- 20Player 92762032 recent matches together
- 35Player 35663513 recent matches together
- 11Player 21731120 recent matches together
- 61Player 63836128 recent matches together
- 88Player 48638821 recent matches together
- 91Player 77469129 recent matches together
- 68Player 23436849 recent matches together