Akadie — CS2 Stats
76561198123521606[U:1:163255878]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.03 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 ropz 83% playstyle similarity
Most alike: utility contribution, 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
Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| C | 14 | 6–8 | 43% | 0.00 | |
| D | 13 | 4–9 | 31% | 0.02 | |
| C | 13 | 5–8 | 38% | -0.00 | |
| C | 12 | 5–7 | 42% | 0.02 | |
| B | 10 | 5–5 | 50% | 0.00 | |
| B | 8 | 4–4 | 50% | 0.00 | |
| office | A | 7 | 4–3 | 57% | 0.04 |
| C | 7 | 3–4 | 43% | -0.02 | |
| D | 6 | 2–4 | 33% | -0.04 | |
| S | 6 | 4–2 | 67% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| alpine | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
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
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 33 | 52% | 1.01 | 14.4 |
| Nuke | 31 | 55% | 1.18 | 17.3 |
| Anubis | 21 | 48% | 1.17 | 17.1 |
| Vertigo | 14 | 64% | 1.26 | 14.6 |
| Ancient | 14 | 79% | 1.01 | 14.8 |
| Inferno | 14 | 71% | 1.19 | 16.4 |
| Dust2 | 10 | 40% | 0.82 | 14.2 |
| Overpass | 8 | 50% | 1.17 | 15.5 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.2738° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.5463% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4459 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–16 | -0.02 | 14% | 27 Aug → | ||
| 8–13 | 0.01 | 14% | 20 Aug → | ||
| 7–13 | 0.00 | 9% | 20 Aug → | ||
| 3–13 | -0.08 | 3% | 20 Aug → | ||
| 11–13 | -0.07 | 15% | 19 Aug → | ||
| 8–13 | -0.01 | 11% | 19 Aug → | ||
| 7–13 | 0.04 | 20% | 19 Aug → | ||
| 13–9 | -0.01 | 14% | 19 Aug → | ||
| 13–7 | 0.00 | 15% | 19 Aug → | ||
| 11–13 | -0.02 | 13% | 18 Aug → | ||
| 2–13 | -0.06 | 23% | 18 Aug → | ||
| 13–5 | 0.03 | 17% | 18 Aug → | ||
| 1–13 | -0.01 | 0% | 17 Aug → | ||
| 13–10 | 0.04 | 12% | 17 Aug → | ||
| 13–9 | 0.05 | 17% | 12 Aug → | ||
| 6–13 | -0.01 | 7% | 12 Aug → | ||
| office | 13–5 | 0.11 | 7% | 12 Aug → | |
| 8–13 | -0.04 | 8% | 11 Aug → | ||
| 13–11 | 0.01 | 26% | 9 Aug → | ||
| 13–8 | 0.06 | 4% | 8 Aug → | ||
| 10–13 | 0.10 | 18% | 7 Aug → | ||
| 13–4 | 0.03 | 15% | 7 Aug → | ||
| 10–13 | -0.03 | 14% | 5 Aug → | ||
| 6–13 | 0.01 | 15% | 5 Aug → | ||
| 6–13 | -0.02 | 12% | 5 Aug → | ||
| 8–13 | -0.09 | 14% | 5 Aug → | ||
| 9–13 | -0.06 | 0% | 4 Aug → | ||
| 13–6 | -0.01 | 8% | 3 Aug → | ||
| 13–5 | 0.05 | 9% | 3 Aug → | ||
| 7–13 | -0.02 | 15% | 30 Jul → | ||
| 7–13 | -0.00 | 9% | 30 Jul → | ||
| 13–4 | 0.04 | 9% | 30 Jul → | ||
| 1–13 | -0.04 | 18% | 27 Jul → | ||
| 13–9 | 0.01 | 11% | 27 Jul → | ||
| 13–10 | 0.05 | 16% | 29 Jun → | ||
| alpine | 11–13 | 0.01 | 7% | 24 Jun → | |
| 9–13 | -0.03 | 14% | 24 Jun → | ||
| 13–6 | -0.01 | 16% | 24 Jun → | ||
| 7–13 | 0.06 | 29% | 22 Jun → | ||
| 12–12 | 0.08 | 14% | 22 Jun → | ||
| 13–4 | 0.02 | 23% | 22 Jun → | ||
| 13–4 | 0.05 | 13% | 21 Jun → | ||
| 13–8 | 0.04 | 11% | 21 Jun → | ||
| 13–4 | -0.00 | 6% | 21 Jun → | ||
| 8–13 | -0.03 | 14% | 21 Jun → | ||
| 13–8 | 0.02 | 9% | 19 Jun → | ||
| 6–13 | -0.04 | 11% | 18 Jun → | ||
| 13–10 | -0.01 | 16% | 18 Jun → | ||
| 7–13 | -0.05 | 19% | 18 Jun → | ||
| 13–8 | -0.05 | 9% | 17 Jun → | ||
| 13–6 | -0.01 | 10% | 17 Jun → | ||
| 13–5 | -0.01 | 10% | 17 Jun → | ||
| 13–8 | -0.02 | 19% | 16 Jun → | ||
| 13–6 | 0.06 | 14% | 16 Jun → | ||
| office | 13–4 | 0.17 | 13% | 12 Jun → | |
| 12–16 | 0.02 | 14% | 10 Jun → | ||
| 13–8 | 0.05 | 10% | 10 Jun → | ||
| 10–13 | 0.00 | 12% | 10 Jun → | ||
| 9–13 | -0.01 | 19% | 10 Jun → | ||
| 13–10 | 0.01 | 10% | 10 Jun → | ||
| 13–6 | 0.13 | 12% | 10 Jun → | ||
| 9–13 | -0.07 | 8% | 9 Jun → | ||
| 6–13 | -0.04 | 16% | 9 Jun → | ||
| 9–13 | -0.03 | 17% | 9 Jun → | ||
| 10–13 | -0.05 | 15% | 9 Jun → | ||
| 13–6 | 0.03 | 13% | 9 Jun → | ||
| 10–13 | -0.01 | 17% | 6 Jun → | ||
| 12–12 | 0.11 | 11% | 6 Jun → | ||
| 7–13 | 0.02 | 7% | 4 Jun → | ||
| 12–12 | 0.01 | 17% | 4 Jun → | ||
| 13–9 | -0.05 | 18% | 4 Jun → | ||
| 13–7 | 0.06 | 21% | 4 Jun → | ||
| 13–11 | 0.01 | 14% | 3 Jun → | ||
| 5–13 | 0.02 | 14% | 3 Jun → | ||
| 2–13 | -0.02 | 20% | 3 Jun → | ||
| 6–9 | 0.05 | 18% | 3 Jun → | ||
| 3–1 | 0.06 | 22% | 3 Jun → | ||
| 13–4 | -0.03 | 14% | 3 Jun → | ||
| 13–7 | 0.04 | 15% | 3 Jun → | ||
| 5–13 | -0.06 | 14% | 3 Jun → | ||
| 11–13 | -0.00 | 18% | 3 Jun → | ||
| 3–13 | -0.05 | 23% | 3 Jun → | ||
| 13–2 | 0.16 | 15% | 3 Jun → | ||
| 13–6 | -0.01 | 7% | 1 Jun → | ||
| 3–13 | -0.04 | 10% | 1 Jun → | ||
| 11–13 | 0.04 | 24% | 1 Jun → | ||
| 8–13 | -0.04 | 19% | 31 May → | ||
| 10–13 | -0.04 | 12% | 31 May → | ||
| 13–11 | -0.02 | 12% | 25 May → | ||
| 13–11 | 0.03 | 16% | 23 May → | ||
| 3–13 | -0.05 | 16% | 18 May → | ||
| 10–13 | -0.04 | 8% | 18 May → | ||
| 10–13 | 0.02 | 11% | 17 May → | ||
| 7–3 | -0.04 | 17% | 17 May → | ||
| office | 8–13 | -0.02 | 12% | 17 May → | |
| office | 6–13 | -0.06 | 11% | 17 May → | |
| office | 13–3 | 0.03 | 8% | 16 May → | |
| 8–13 | -0.02 | 12% | 15 May → | ||
| office | 3–13 | 0.03 | 12% | 15 May → | |
| office | 13–5 | 0.04 | 5% | 14 May → |
Match data via Leetify.