makesence — CS2 Stats
76561198203770887[U:1:243505159]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.02 avg rating
Player DNA
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 84% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; 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. 624ms 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 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 16–10 | 62% | -0.01 | |
| B | 19 | 10–9 | 53% | -0.02 | |
| C | 19 | 8–11 | 42% | -0.01 | |
| S | 13 | 10–3 | 77% | 0.01 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.07 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Mirage 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 52 | 54% | 0.85 | 12.6 |
| Ancient | 39 | 51% | 0.94 | 12.9 |
| Mirage | 24 | 46% | 0.74 | 12.4 |
| Overpass | 12 | 83% | 1.08 | 14.3 |
| Nuke | 9 | 56% | 0.84 | 9.7 |
| Anubis | 9 | 67% | 0.80 | 12.1 |
| Train | 5 | 80% | 1.00 | 16.0 |
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 35.9442% — 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.
42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.05 | 7% | 29 Apr → | ||
| 10–13 | -0.09 | 13% | 8 Jan → | ||
| 10–13 | 0.03 | 39% | 8 Jan → | ||
| 13–4 | -0.01 | 29% | 5 Jan → | ||
| 13–8 | 0.02 | 15% | 5 Jan → | ||
| 8–13 | -0.03 | 16% | 6 Dec → | ||
| 7–13 | -0.05 | 16% | 6 Dec → | ||
| 13–16 | -0.00 | 18% | 5 Dec → | ||
| 7–13 | -0.01 | 26% | 4 Dec → | ||
| 13–10 | 0.03 | 31% | 4 Dec → | ||
| 5–13 | -0.07 | 8% | 3 Dec → | ||
| 13–11 | -0.02 | 23% | 3 Dec → | ||
| 16–14 | -0.08 | 21% | 3 Dec → | ||
| 11–13 | -0.05 | 22% | 2 Dec → | ||
| 5–13 | -0.03 | 11% | 2 Dec → | ||
| 11–13 | -0.03 | 24% | 2 Dec → | ||
| 16–14 | -0.03 | 23% | 28 Nov → | ||
| 13–7 | -0.02 | 22% | 28 Nov → | ||
| 8–13 | -0.01 | 34% | 28 Nov → | ||
| 13–7 | -0.03 | 27% | 27 Nov → | ||
| 13–10 | 0.03 | 19% | 27 Nov → | ||
| 13–3 | -0.06 | 6% | 27 Nov → | ||
| 13–10 | 0.03 | 19% | 27 Nov → | ||
| 13–8 | 0.03 | 15% | 27 Nov → | ||
| 13–4 | 0.05 | 19% | 26 Nov → | ||
| 4–13 | -0.11 | 0% | 26 Nov → | ||
| 16–14 | 0.04 | 22% | 26 Nov → | ||
| 16–13 | -0.02 | 18% | 21 Nov → | ||
| 10–13 | -0.01 | 20% | 21 Nov → | ||
| 13–7 | 0.04 | 22% | 20 Nov → | ||
| 13–10 | 0.04 | 30% | 20 Nov → | ||
| 13–11 | -0.00 | 20% | 20 Nov → | ||
| 5–13 | -0.05 | 18% | 20 Nov → | ||
| 13–8 | -0.03 | 31% | 20 Nov → | ||
| 13–10 | 0.02 | 17% | 20 Nov → | ||
| 8–13 | -0.06 | 19% | 20 Nov → | ||
| 13–5 | 0.06 | 38% | 20 Nov → | ||
| 7–13 | -0.11 | 21% | 19 Nov → | ||
| 13–3 | 0.07 | 26% | 19 Nov → | ||
| 11–13 | -0.02 | 27% | 19 Nov → | ||
| 5–13 | -0.02 | 21% | 18 Nov → | ||
| 5–13 | -0.07 | 29% | 18 Nov → | ||
| 6–13 | -0.08 | 17% | 15 Nov → | ||
| 4–13 | -0.01 | 21% | 14 Nov → | ||
| 13–16 | -0.02 | 18% | 14 Nov → | ||
| 1–13 | -0.05 | 33% | 14 Nov → | ||
| 13–10 | -0.01 | 11% | 12 Nov → | ||
| 13–10 | -0.04 | 29% | 12 Nov → | ||
| 12–16 | -0.05 | 18% | 12 Nov → | ||
| 13–7 | 0.01 | 30% | 11 Nov → | ||
| 8–1 | 0.02 | 19% | 11 Nov → | ||
| 4–13 | -0.07 | 28% | 10 Nov → | ||
| 13–10 | 0.02 | 24% | 9 Nov → | ||
| 13–5 | -0.02 | 27% | 9 Nov → | ||
| 13–7 | -0.01 | 11% | 9 Nov → | ||
| 12–12 | -0.01 | 29% | 9 Nov → | ||
| 13–8 | -0.00 | 38% | 8 Nov → | ||
| 13–8 | 0.03 | 22% | 8 Nov → | ||
| 13–6 | -0.02 | 18% | 8 Nov → | ||
| 7–13 | -0.04 | 9% | 6 Nov → | ||
| 6–13 | -0.08 | 19% | 2 Nov → | ||
| 13–10 | -0.01 | 24% | 2 Nov → | ||
| 13–10 | 0.02 | 23% | 31 Oct → | ||
| 13–8 | -0.02 | 25% | 31 Oct → | ||
| 13–8 | -0.03 | 18% | 29 Oct → | ||
| 13–8 | 0.03 | 28% | 29 Oct → | ||
| 8–13 | -0.02 | 21% | 27 Oct → | ||
| 7–13 | 0.01 | 14% | 27 Oct → | ||
| 13–16 | -0.02 | 16% | 27 Oct → | ||
| 8–13 | -0.04 | 24% | 27 Oct → | ||
| 3–13 | -0.04 | 32% | 26 Oct → | ||
| 3–13 | -0.02 | 32% | 26 Oct → | ||
| 7–13 | 0.00 | 28% | 22 Oct → | ||
| 5–13 | -0.06 | 29% | 19 Oct → | ||
| 13–6 | 0.13 | 31% | 15 Oct → | ||
| 13–7 | 0.01 | 20% | 15 Oct → | ||
| 13–5 | 0.02 | 18% | 4 Oct → | ||
| 13–8 | 0.01 | 11% | 4 Oct → | ||
| 10–1 | 0.02 | 20% | 4 Oct → | ||
| 13–4 | -0.03 | 10% | 30 Sept → | ||
| 13–4 | 0.10 | 13% | 25 Sept → | ||
| 11–13 | -0.05 | 9% | 24 Sept → | ||
| 13–9 | 0.00 | 17% | 24 Sept → | ||
| 13–11 | -0.07 | 12% | 22 Sept → | ||
| 13–8 | 0.01 | 14% | 22 Sept → | ||
| 13–9 | -0.02 | 14% | 22 Sept → | ||
| 5–13 | 0.01 | 17% | 22 Sept → | ||
| 15–15 | 0.05 | 21% | 22 Sept → | ||
| 16–13 | 0.08 | 12% | 22 Sept → | ||
| 9–13 | 0.05 | 23% | 22 Sept → | ||
| 9–13 | 0.07 | 14% | 22 Sept → | ||
| 16–12 | -0.06 | 11% | 22 Sept → | ||
| 13–10 | -0.00 | 22% | 21 Sept → | ||
| 6–13 | -0.05 | 7% | 20 Sept → | ||
| 6–13 | -0.02 | 18% | 20 Sept → | ||
| 2–13 | -0.12 | 27% | 20 Sept → | ||
| 13–3 | 0.02 | 14% | 20 Sept → | ||
| 13–5 | 0.08 | 29% | 20 Sept → | ||
| 13–4 | 0.01 | 21% | 18 Sept → | ||
| 7–13 | -0.03 | 18% | 16 Sept → |
Match data via Leetify.
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