AKMITKRANZ — CS2 Stats
76561199186598796[U:1:1226333068]
Rating over time
Faceit ELO
- At peak — 1,047
- Next: Level 5 at 1,051 — 4 to go
- Reached: Level 4 · Level 3 · Level 2
- Level 4 first seen 2026-08-28
- Level 3 first seen 2026-08-28
Premier CS Rating
- At peak — 25,623
- Next: Gold band at 30,000 — 4,377 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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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: 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 sh1ro 94% playstyle similarity
Most alike: opening-fight frequency, 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 95 — the mechanical foundation is a clear strength.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Positioning. Positioning trails aim by 37 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 61% on CT to 43% 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 7.8/10 (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 | 37 | 28–9 | 76% | 0.10 | |
| S | 23 | 16–7 | 70% | 0.06 | |
| S | 11 | 8–3 | 73% | 0.06 | |
| S | 8 | 6–2 | 75% | 0.05 | |
| B | 6 | 3–3 | 50% | 0.13 | |
| S | 6 | 5–1 | 83% | 0.05 | |
| — | 4 | 2–2 | 50% | 0.05 | |
| — | 1 | 1–0 | 100% | 0.21 | |
| boulder | — | 1 | 1–0 | 100% | 0.19 |
| fachwerk | — | 1 | 1–0 | 100% | 0.18 |
| shelter | — | 1 | 0–1 | 0% | -0.05 |
| — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Anubis 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 39 | 49% | 0.93 | 15.7 |
| Inferno | 38 | 63% | 0.89 | 15.2 |
| Ancient | 29 | 59% | 1.04 | 15.8 |
| Nuke | 27 | 63% | 1.25 | 17.0 |
| Mirage | 26 | 38% | 0.84 | 13.5 |
| Anubis | 25 | 64% | 0.91 | 14.1 |
| Vertigo | 12 | 42% | 0.98 | 15.9 |
| Overpass | 3 | 0% | 0.70 | 15.7 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–9 | -0.07 | 63% | 26 Aug → | ||
| 9–2 | 0.31 | 61% | 26 Aug → | ||
| 9–6 | 0.17 | 29% | 26 Aug → | ||
| 9–0 | 0.42 | 35% | 26 Aug → | ||
| 13–1 | 0.04 | 19% | 26 Aug → | ||
| 13–1 | 0.04 | 23% | 26 Aug → | ||
| 13–0 | 0.03 | 50% | 26 Aug → | ||
| 14–16 | -0.04 | 35% | 26 Aug → | ||
| 9–6 | 0.19 | 13% | 20 Aug → | ||
| 2–9 | 0.00 | 50% | 20 Aug → | ||
| 2–9 | -0.04 | 21% | 20 Aug → | ||
| 9–6 | 0.07 | 33% | 20 Aug → | ||
| 9–5 | 0.16 | 38% | 20 Aug → | ||
| 9–1 | 0.21 | 35% | 20 Aug → | ||
| 9–5 | 0.19 | 27% | 20 Aug → | ||
| 9–5 | 0.15 | 20% | 20 Aug → | ||
| 9–2 | 0.09 | 33% | 20 Aug → | ||
| 9–4 | 0.09 | 19% | 20 Aug → | ||
| 6–9 | 0.04 | 42% | 20 Aug → | ||
| 9–1 | 0.21 | 29% | 20 Aug → | ||
| 9–0 | 0.23 | 38% | 20 Aug → | ||
| 12–12 | 0.21 | 26% | 20 Aug → | ||
| 3–13 | -0.02 | 15% | 19 Aug → | ||
| 11–13 | 0.25 | 37% | 18 Aug → | ||
| 9–4 | 0.22 | 19% | 18 Aug → | ||
| 9–2 | 0.17 | 20% | 18 Aug → | ||
| 13–10 | 0.04 | 35% | 18 Aug → | ||
| boulder | 13–1 | 0.19 | 29% | 15 Aug → | |
| fachwerk | 13–3 | 0.18 | 20% | 15 Aug → | |
| shelter | 2–13 | -0.05 | 35% | 15 Aug → | |
| 6–13 | -0.07 | 13% | 15 Aug → | ||
| 12–12 | -0.07 | 18% | 7 Aug → | ||
| 13–6 | 0.01 | 26% | 7 Aug → | ||
| 13–1 | 0.25 | 27% | 7 Aug → | ||
| 13–2 | 0.10 | 40% | 22 Jul → | ||
| 13–5 | 0.11 | 33% | 22 Jul → | ||
| 13–1 | 0.15 | 48% | 19 Jul → | ||
| 13–0 | 0.09 | 30% | 19 Jul → | ||
| 3–11 | -0.06 | 24% | 18 Jul → | ||
| 13–10 | -0.00 | 16% | 17 Jul → | ||
| 12–12 | 0.05 | 34% | 16 Jul → | ||
| 13–4 | 0.12 | 26% | 16 Jul → | ||
| 13–7 | 0.09 | 22% | 16 Jul → | ||
| 13–8 | 0.06 | 30% | 16 Jul → | ||
| 6–13 | 0.07 | 27% | 16 Jul → | ||
| 16–14 | 0.06 | 22% | 15 Jul → | ||
| 16–13 | 0.05 | 24% | 12 Jul → | ||
| 13–9 | 0.06 | 17% | 12 Jul → | ||
| 13–4 | 0.11 | 18% | 12 Jul → | ||
| 16–12 | 0.06 | 16% | 11 Jul → | ||
| 10–13 | 0.03 | 17% | 11 Jul → | ||
| 13–2 | 0.06 | 24% | 11 Jul → | ||
| 10–13 | -0.04 | 22% | 11 Jul → | ||
| 13–4 | 0.11 | 20% | 11 Jul → | ||
| 13–11 | 0.08 | 26% | 11 Jul → | ||
| 13–5 | 0.12 | 20% | 11 Jul → | ||
| 13–9 | 0.09 | 16% | 11 Jul → | ||
| 11–3 | 0.11 | 11% | 11 Jul → | ||
| 13–6 | 0.05 | 15% | 11 Jul → | ||
| 13–9 | 0.16 | 26% | 11 Jul → | ||
| 15–15 | 0.04 | 15% | 10 Jul → | ||
| 13–1 | -0.00 | 40% | 10 Jul → | ||
| 8–13 | 0.15 | 16% | 10 Jul → | ||
| 2–13 | -0.02 | 24% | 10 Jul → | ||
| 13–5 | 0.08 | 19% | 8 Jul → | ||
| 13–7 | -0.01 | 23% | 8 Jul → | ||
| 13–0 | 0.03 | 22% | 6 Jul → | ||
| 13–7 | -0.02 | 15% | 6 Jul → | ||
| 13–8 | 0.14 | 14% | 6 Jul → | ||
| 13–5 | 0.14 | 17% | 6 Jul → | ||
| 13–10 | 0.01 | 16% | 5 Jul → | ||
| 1–10 | -0.07 | 7% | 5 Jul → | ||
| 13–6 | 0.11 | 14% | 5 Jul → | ||
| 13–10 | 0.15 | 13% | 5 Jul → | ||
| 8–13 | 0.07 | 7% | 5 Jul → | ||
| 13–4 | -0.03 | 25% | 3 Jul → | ||
| 13–5 | 0.01 | 14% | 3 Jul → | ||
| 13–7 | -0.03 | 17% | 3 Jul → | ||
| 13–1 | 0.04 | 46% | 3 Jul → | ||
| 13–0 | 0.13 | 20% | 3 Jul → | ||
| 13–5 | 0.06 | 17% | 3 Jul → | ||
| 13–0 | 0.06 | 10% | 3 Jul → | ||
| 13–0 | 0.08 | 29% | 3 Jul → | ||
| 9–1 | 0.15 | 9% | 3 Jul → | ||
| 13–0 | 0.13 | 13% | 3 Jul → | ||
| 13–2 | 0.28 | 14% | 3 Jul → | ||
| 13–8 | 0.01 | 10% | 2 Jul → | ||
| 6–0 | 0.03 | 56% | 2 Jul → | ||
| 13–5 | 0.04 | 15% | 2 Jul → | ||
| 9–13 | 0.07 | 13% | 2 Jul → | ||
| 13–8 | 0.04 | 18% | 2 Jul → | ||
| 4–2 | 0.15 | 4% | 2 Jul → | ||
| 7–9 | 0.09 | 17% | 2 Jul → | ||
| 7–9 | 0.06 | 14% | 2 Jul → | ||
| 13–7 | 0.00 | 20% | 1 Jul → | ||
| 13–10 | -0.09 | 13% | 1 Jul → | ||
| 5–9 | 0.08 | 20% | 1 Jul → | ||
| 2–13 | -0.05 | 9% | 29 Jun → | ||
| 5–13 | -0.00 | 19% | 29 Jun → | ||
| 7–13 | -0.02 | 30% | 29 Jun → |
Match data via Leetify.