maxxkor — CS2 Stats
AR76561199030972198[U:1:1070706470]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 3,604
- Next: 4,000 ELO at 4,000 — 396 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
- 3,500 ELO first seen 2026-08-28
- 3,000 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 Twistzz 95% playstyle similarity
Most alike: positioning profile, 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
Aim. Aim score of 98 — the mechanical foundation is a clear strength.
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 63% on CT to 21% 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 7.7/10 (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 |
|---|---|---|---|---|---|
| S | 26 | 17–9 | 65% | 0.01 | |
| B | 19 | 10–9 | 53% | 0.01 | |
| B | 18 | 9–9 | 50% | 0.00 | |
| S | 12 | 8–4 | 67% | 0.02 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.00 | |
| S | 6 | 4–2 | 67% | -0.02 | |
| — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 603 | 57% | 1.42 | 20.4 |
| Dust2 | 253 | 64% | 1.51 | 20.3 |
| Ancient | 205 | 56% | 1.44 | 19.1 |
| Anubis | 197 | 64% | 1.42 | 19.0 |
| Nuke | 119 | 59% | 1.33 | 17.2 |
| Inferno | 59 | 69% | 1.53 | 18.5 |
| Train | 26 | 73% | 1.51 | 18.6 |
| Overpass | 24 | 62% | 1.44 | 19.9 |
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.
- 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 21.2095% — 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.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.01 | 38% | 26 Aug → | ||
| 8–13 | 0.01 | 11% | 26 Aug → | ||
| 14–16 | -0.04 | 19% | 9 Aug → | ||
| 7–13 | -0.01 | 23% | 9 Aug → | ||
| 13–9 | -0.03 | 23% | 9 Aug → | ||
| 13–10 | 0.07 | 29% | 7 Aug → | ||
| 13–10 | -0.02 | 12% | 7 Aug → | ||
| 13–0 | -0.04 | 16% | 7 Aug → | ||
| 13–3 | 0.09 | 29% | 7 Aug → | ||
| 13–10 | -0.04 | 27% | 25 Jul → | ||
| 7–13 | -0.07 | 42% | 25 Jul → | ||
| 2–13 | -0.04 | 12% | 25 Jul → | ||
| 2–0 | -0.00 | 0% | 24 Jul → | ||
| 16–14 | 0.04 | 15% | 24 Jul → | ||
| 6–13 | 0.03 | 21% | 24 Jul → | ||
| 11–6 | 0.11 | 50% | 24 Jul → | ||
| 13–1 | -0.00 | 67% | 23 Jul → | ||
| 9–13 | -0.03 | 29% | 20 Jul → | ||
| 13–11 | -0.05 | 25% | 12 Jul → | ||
| 13–7 | -0.05 | 19% | 12 Jul → | ||
| 8–13 | 0.04 | 49% | 11 Jul → | ||
| 11–13 | 0.03 | 42% | 11 Jul → | ||
| 13–8 | 0.00 | 18% | 11 Jul → | ||
| 10–13 | 0.04 | 36% | 11 Jul → | ||
| 13–3 | 0.05 | 26% | 11 Jul → | ||
| 8–13 | 0.02 | 21% | 9 Jul → | ||
| 13–8 | -0.05 | 14% | 9 Jul → | ||
| 13–11 | 0.00 | 18% | 9 Jul → | ||
| 8–13 | 0.02 | 37% | 28 Jun → | ||
| 13–9 | -0.01 | 18% | 28 Jun → | ||
| 13–16 | -0.01 | 19% | 28 Jun → | ||
| 4–13 | -0.00 | 26% | 27 Jun → | ||
| 16–19 | -0.02 | 28% | 27 Jun → | ||
| 13–11 | 0.01 | 57% | 27 Jun → | ||
| 13–5 | 0.04 | 32% | 25 Jun → | ||
| 3–0 | -0.02 | 50% | 25 Jun → | ||
| 11–5 | 0.03 | 15% | 25 Jun → | ||
| 9–13 | -0.03 | 45% | 25 Jun → | ||
| 16–13 | 0.05 | 34% | 24 Jun → | ||
| 19–17 | 0.02 | 19% | 24 Jun → | ||
| 13–7 | -0.02 | 23% | 23 Jun → | ||
| 13–11 | 0.01 | 35% | 23 Jun → | ||
| 13–6 | 0.03 | 17% | 4 Jun → | ||
| 10–13 | 0.04 | 17% | 4 Jun → | ||
| 5–13 | -0.02 | 19% | 3 Jun → | ||
| 0–2 | -0.05 | 0% | 2 Jun → | ||
| 7–10 | 0.00 | 32% | 2 Jun → | ||
| 13–10 | 0.05 | 30% | 2 Jun → | ||
| 9–13 | -0.05 | 28% | 29 May → | ||
| 13–11 | 0.03 | 35% | 29 May → | ||
| 7–13 | -0.07 | 11% | 28 May → | ||
| 5–13 | -0.01 | 26% | 28 May → | ||
| 13–11 | -0.02 | 13% | 27 May → | ||
| 13–16 | -0.03 | 29% | 27 May → | ||
| 14–13 | 0.01 | 40% | 23 May → | ||
| 4–13 | -0.03 | 36% | 23 May → | ||
| 11–13 | -0.01 | 33% | 23 May → | ||
| 8–13 | 0.00 | 19% | 23 May → | ||
| 13–8 | 0.04 | 23% | 23 May → | ||
| 13–7 | 0.01 | 38% | 22 May → | ||
| 3–13 | 0.01 | 41% | 22 May → | ||
| 13–9 | 0.00 | 38% | 22 May → | ||
| 13–16 | 0.05 | 37% | 19 May → | ||
| 13–7 | 0.10 | 28% | 3 May → | ||
| 13–4 | 0.03 | 41% | 3 May → | ||
| 2–13 | -0.03 | 29% | 2 May → | ||
| 13–8 | 0.03 | 13% | 2 May → | ||
| 13–2 | 0.02 | 5% | 2 May → | ||
| 13–7 | 0.01 | 32% | 2 May → | ||
| 13–7 | 0.01 | 18% | 2 May → | ||
| 13–11 | 0.03 | 29% | 29 Apr → | ||
| 13–2 | 0.02 | 19% | 29 Apr → | ||
| 8–13 | 0.01 | 20% | 25 Apr → | ||
| 1–13 | -0.06 | 0% | 25 Apr → | ||
| 13–10 | -0.01 | 13% | 25 Apr → | ||
| 13–5 | 0.06 | 17% | 24 Apr → | ||
| 13–5 | 0.00 | 14% | 24 Apr → | ||
| 7–13 | 0.01 | 24% | 23 Apr → | ||
| 7–13 | 0.04 | 35% | 23 Apr → | ||
| 13–1 | 0.07 | 20% | 8 Mar → | ||
| 13–6 | 0.05 | 14% | 8 Mar → | ||
| 11–13 | -0.06 | 26% | 8 Mar → | ||
| 9–13 | 0.01 | 15% | 8 Mar → | ||
| 13–10 | -0.00 | 29% | 7 Mar → | ||
| 13–9 | 0.07 | 18% | 7 Mar → | ||
| 16–13 | 0.06 | 16% | 5 Mar → | ||
| 13–6 | 0.09 | 6% | 5 Mar → | ||
| 13–1 | 0.08 | 24% | 5 Mar → | ||
| 13–5 | 0.03 | 25% | 5 Mar → | ||
| 14–16 | 0.00 | 22% | 28 Feb → | ||
| 13–9 | 0.01 | 11% | 28 Feb → | ||
| 8–13 | -0.05 | 20% | 27 Feb → | ||
| 13–7 | 0.01 | 7% | 27 Feb → | ||
| 13–11 | 0.02 | 44% | 26 Feb → | ||
| 8–13 | -0.01 | 24% | 21 Feb → | ||
| 7–13 | -0.04 | 15% | 21 Feb → | ||
| 10–13 | -0.00 | 18% | 21 Feb → | ||
| 13–3 | 0.08 | 15% | 21 Feb → | ||
| 13–1 | 0.08 | 23% | 21 Feb → | ||
| 13–4 | 0.02 | 11% | 19 Feb → |
Match data via Leetify.