fitday — CS2 Stats
76561197966492227[U:1:6226499]
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: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 93% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 70% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 579ms 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 6.9/10 (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 |
|---|---|---|---|---|---|
| B | 26 | 13–13 | 50% | 0.03 | |
| A | 22 | 12–10 | 55% | 0.04 | |
| B | 21 | 10–11 | 48% | 0.02 | |
| B | 19 | 10–9 | 53% | 0.02 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| C | 5 | 2–3 | 40% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 13 | 46% | 1.28 | 17.8 |
| Dust2 | 12 | 42% | 1.13 | 14.6 |
| Cache | 9 | 67% | 1.27 | 17.2 |
| Anubis | 7 | 43% | 0.94 | 15.1 |
| Inferno | 4 | 75% | 1.25 | 15.5 |
| Ancient | 2 | 100% | 1.30 | 19.5 |
| Nuke | 1 | 100% | 0.87 | 13.0 |
| Overpass | 1 | 0% | 0.94 | 17.0 |
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
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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.03 | 23% | 28 Aug → | ||
| 5–13 | -0.05 | 19% | 28 Aug → | ||
| 13–11 | 0.02 | 19% | 27 Aug → | ||
| 13–11 | -0.01 | 22% | 27 Aug → | ||
| 15–15 | 0.02 | 26% | 26 Aug → | ||
| 16–14 | -0.03 | 21% | 25 Aug → | ||
| 6–13 | 0.01 | 17% | 24 Aug → | ||
| 15–15 | 0.00 | 19% | 24 Aug → | ||
| 13–8 | 0.06 | 16% | 24 Aug → | ||
| 8–13 | 0.08 | 27% | 20 Aug → | ||
| 3–13 | -0.04 | 21% | 20 Aug → | ||
| 13–6 | 0.04 | 14% | 20 Aug → | ||
| 8–13 | -0.03 | 13% | 20 Aug → | ||
| 13–9 | 0.03 | 28% | 20 Aug → | ||
| 13–7 | 0.02 | 16% | 19 Aug → | ||
| 13–6 | 0.05 | 12% | 18 Aug → | ||
| 9–13 | -0.01 | 19% | 18 Aug → | ||
| 4–13 | 0.02 | 9% | 18 Aug → | ||
| 13–10 | 0.15 | 20% | 17 Aug → | ||
| 10–13 | 0.01 | 27% | 17 Aug → | ||
| 13–5 | 0.13 | 15% | 16 Aug → | ||
| 13–11 | 0.01 | 9% | 16 Aug → | ||
| 2–13 | -0.01 | 27% | 15 Aug → | ||
| 11–13 | 0.04 | 12% | 15 Aug → | ||
| 13–7 | 0.04 | 9% | 14 Aug → | ||
| 13–8 | 0.06 | 30% | 14 Aug → | ||
| 13–6 | 0.01 | 15% | 12 Aug → | ||
| 5–13 | -0.04 | 15% | 12 Aug → | ||
| 13–3 | 0.07 | 24% | 11 Aug → | ||
| 11–13 | 0.08 | 20% | 11 Aug → | ||
| 13–10 | 0.03 | 18% | 10 Aug → | ||
| 13–6 | 0.04 | 31% | 10 Aug → | ||
| 7–13 | -0.05 | 16% | 9 Aug → | ||
| 5–13 | -0.02 | 15% | 9 Aug → | ||
| 6–13 | 0.02 | 27% | 9 Aug → | ||
| 11–13 | -0.02 | 19% | 7 Aug → | ||
| 9–13 | 0.06 | 28% | 7 Aug → | ||
| 8–13 | -0.03 | 15% | 7 Aug → | ||
| 13–7 | 0.03 | 12% | 7 Aug → | ||
| 13–10 | 0.04 | 24% | 6 Aug → | ||
| 16–14 | 0.04 | 15% | 6 Aug → | ||
| 13–8 | 0.07 | 20% | 5 Aug → | ||
| 7–13 | -0.06 | 28% | 5 Aug → | ||
| 11–3 | 0.13 | 7% | 4 Aug → | ||
| 9–13 | 0.02 | 13% | 4 Aug → | ||
| 8–13 | -0.00 | 23% | 4 Aug → | ||
| 16–12 | 0.03 | 23% | 30 Jul → | ||
| 10–13 | -0.01 | 23% | 29 Jul → | ||
| 13–4 | 0.10 | 17% | 29 Jul → | ||
| 4–13 | -0.08 | 18% | 29 Jul → | ||
| 13–7 | 0.08 | 29% | 28 Jul → | ||
| 7–13 | -0.01 | 20% | 28 Jul → | ||
| 9–13 | 0.04 | 23% | 28 Jul → | ||
| 16–12 | 0.09 | 20% | 27 Jul → | ||
| 13–8 | -0.01 | 15% | 27 Jul → | ||
| 5–13 | -0.05 | 14% | 27 Jul → | ||
| 16–12 | 0.02 | 31% | 27 Jul → | ||
| 13–7 | 0.07 | 27% | 27 Jul → | ||
| 3–13 | -0.01 | 24% | 27 Jul → | ||
| 5–13 | -0.01 | 25% | 26 Jul → | ||
| 13–6 | 0.05 | 22% | 26 Jul → | ||
| 7–13 | -0.00 | 19% | 25 Jul → | ||
| 13–8 | 0.01 | 22% | 25 Jul → | ||
| 7–13 | -0.04 | 17% | 25 Jul → | ||
| 13–7 | 0.07 | 15% | 24 Jul → | ||
| 10–13 | 0.01 | 23% | 24 Jul → | ||
| 13–16 | 0.06 | 20% | 23 Jul → | ||
| 6–13 | 0.02 | 26% | 23 Jul → | ||
| 11–13 | 0.03 | 14% | 22 Jul → | ||
| 13–6 | 0.11 | 11% | 22 Jul → | ||
| 14–16 | -0.01 | 16% | 22 Jul → | ||
| 13–8 | 0.06 | 21% | 21 Jul → | ||
| 13–4 | 0.02 | 13% | 20 Jul → | ||
| 3–13 | -0.02 | 16% | 20 Jul → | ||
| 7–13 | -0.02 | 5% | 20 Jul → | ||
| 12–16 | -0.05 | 8% | 20 Jul → | ||
| 13–8 | 0.10 | 12% | 19 Jul → | ||
| 13–9 | 0.14 | 15% | 19 Jul → | ||
| 1–13 | -0.05 | 15% | 19 Jul → | ||
| 16–12 | 0.05 | 23% | 19 Jul → | ||
| 13–9 | 0.12 | 26% | 19 Jul → | ||
| 6–13 | -0.07 | 24% | 18 Jul → | ||
| 13–9 | 0.07 | 23% | 17 Jul → | ||
| 16–14 | 0.11 | 20% | 17 Jul → | ||
| 13–8 | 0.04 | 11% | 16 Jul → | ||
| 13–5 | 0.02 | 9% | 16 Jul → | ||
| 11–13 | 0.06 | 15% | 15 Jul → | ||
| 13–5 | -0.00 | 14% | 15 Jul → | ||
| 10–13 | -0.01 | 12% | 15 Jul → | ||
| 13–6 | 0.06 | 24% | 15 Jul → | ||
| 11–13 | 0.05 | 26% | 14 Jul → | ||
| 13–8 | 0.05 | 17% | 14 Jul → | ||
| 13–1 | 0.04 | 18% | 14 Jul → | ||
| 10–13 | 0.00 | 29% | 14 Jul → | ||
| 15–15 | 0.02 | 18% | 14 Jul → | ||
| 7–13 | 0.02 | 24% | 13 Jul → | ||
| 13–10 | 0.05 | 20% | 13 Jul → | ||
| 11–13 | 0.01 | 17% | 12 Jul → | ||
| 13–7 | -0.01 | 11% | 12 Jul → | ||
| 13–9 | -0.03 | 12% | 12 Jul → |
Match data via Leetify.
Recent teammates
- 49Player 08064991 recent matches together
- 41Player 79704177 recent matches together
- 95Player 81349561 recent matches together
- 05Player 01550545 recent matches together
- 80Player 01618010 recent matches together
- 84Player 85478454 recent matches together
- 31Player 46643116 recent matches together
- 57Player 28465720 recent matches together