akaddict — CS2 Stats
76561197996113154[U:1:35847426]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -60pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerStrong CT-side openerLimited utility dependence
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 94% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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 90 — the mechanical foundation is a clear strength.
Areas to improve
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 44% on CT to 25% 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 7.4/10 (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 |
|---|---|---|---|---|---|
| B | 23 | 12–11 | 52% | 0.05 | |
| B | 20 | 9–11 | 45% | 0.01 | |
| S | 14 | 10–4 | 71% | 0.07 | |
| S | 12 | 11–1 | 92% | 0.04 | |
| D | 9 | 3–6 | 33% | 0.03 | |
| C | 8 | 3–5 | 38% | 0.06 | |
| S | 5 | 4–1 | 80% | 0.04 | |
| office | — | 2 | 0–2 | 0% | 0.06 |
| — | 2 | 1–1 | 50% | 0.08 | |
| — | 2 | 0–2 | 0% | 0.08 | |
| shelter | — | 1 | 1–0 | 100% | 0.06 |
| italy | — | 1 | 1–0 | 100% | 0.10 |
| — | 1 | 1–0 | 100% | 0.05 |
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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 59 | 54% | 0.98 | 14.5 |
| Ancient | 33 | 67% | 1.10 | 15.4 |
| Anubis | 29 | 52% | 0.94 | 15.2 |
| Dust2 | 27 | 44% | 0.90 | 16.1 |
| Inferno | 26 | 54% | 1.00 | 16.2 |
| Nuke | 12 | 17% | 0.78 | 12.9 |
| Vertigo | 11 | 55% | 0.87 | 14.4 |
| Cache | 1 | 100% | 2.00 | 14.0 |
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.
- 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 14.468% — 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 0.4852 — below the 0.5 mark we flag
- 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 24.6497% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | -0.01 | 14% | 28 Aug → | ||
| 9–13 | 0.13 | 17% | 28 Aug → | ||
| 9–2 | 0.35 | 19% | 28 Aug → | ||
| 8–8 | 0.03 | 16% | 28 Aug → | ||
| 13–6 | 0.02 | 13% | 28 Aug → | ||
| 10–13 | 0.02 | 19% | 27 Aug → | ||
| 9–13 | 0.05 | 34% | 27 Aug → | ||
| 13–7 | 0.13 | 21% | 27 Aug → | ||
| 6–13 | 0.02 | 17% | 27 Aug → | ||
| office | 10–13 | 0.06 | 11% | 26 Aug → | |
| 13–4 | 0.04 | 19% | 26 Aug → | ||
| 13–9 | 0.05 | 11% | 26 Aug → | ||
| 13–10 | 0.27 | 10% | 26 Aug → | ||
| 13–10 | -0.04 | 10% | 26 Aug → | ||
| 13–4 | 0.10 | 9% | 26 Aug → | ||
| 13–8 | 0.11 | 24% | 26 Aug → | ||
| 8–13 | 0.00 | 18% | 26 Aug → | ||
| 13–5 | 0.05 | 25% | 26 Aug → | ||
| 13–7 | 0.05 | 11% | 26 Aug → | ||
| 13–6 | 0.09 | 16% | 26 Aug → | ||
| 13–3 | 0.00 | 17% | 25 Aug → | ||
| 13–5 | 0.17 | 13% | 25 Aug → | ||
| 13–1 | -0.01 | 12% | 25 Aug → | ||
| 15–15 | -0.02 | 13% | 25 Aug → | ||
| 16–12 | -0.04 | 13% | 25 Aug → | ||
| 10–13 | 0.07 | 9% | 25 Aug → | ||
| 4–13 | -0.01 | 12% | 25 Aug → | ||
| 13–7 | 0.06 | 12% | 25 Aug → | ||
| 7–13 | 0.12 | 8% | 24 Aug → | ||
| 12–12 | 0.16 | 9% | 24 Aug → | ||
| shelter | 13–7 | 0.06 | 7% | 24 Aug → | |
| office | 12–12 | 0.06 | 13% | 23 Aug → | |
| italy | 13–7 | 0.10 | 16% | 23 Aug → | |
| 7–13 | -0.00 | 13% | 23 Aug → | ||
| 0–13 | -0.03 | 18% | 23 Aug → | ||
| 7–13 | 0.02 | 11% | 23 Aug → | ||
| 13–8 | 0.01 | 22% | 22 Aug → | ||
| 13–4 | -0.00 | 8% | 22 Aug → | ||
| 9–6 | 0.16 | 12% | 22 Aug → | ||
| 13–7 | 0.08 | 14% | 22 Aug → | ||
| 13–5 | 0.07 | 7% | 22 Aug → | ||
| 7–13 | 0.10 | 20% | 22 Aug → | ||
| 10–13 | 0.01 | 18% | 22 Aug → | ||
| 13–8 | 0.12 | 20% | 22 Aug → | ||
| 13–8 | 0.01 | 11% | 22 Aug → | ||
| 13–3 | 0.08 | 21% | 21 Aug → | ||
| 13–3 | 0.07 | 19% | 21 Aug → | ||
| 13–10 | 0.01 | 13% | 21 Aug → | ||
| 9–13 | 0.08 | 8% | 20 Aug → | ||
| 11–13 | 0.03 | 13% | 20 Aug → | ||
| 13–9 | 0.02 | 13% | 20 Aug → | ||
| 13–6 | 0.04 | 25% | 20 Aug → | ||
| 16–12 | 0.06 | 11% | 20 Aug → | ||
| 13–5 | 0.04 | 11% | 20 Aug → | ||
| 0–11 | -0.03 | 19% | 20 Aug → | ||
| 8–13 | -0.04 | 18% | 19 Aug → | ||
| 12–16 | 0.11 | 11% | 19 Aug → | ||
| 7–13 | -0.03 | 30% | 19 Aug → | ||
| 13–6 | 0.05 | 11% | 19 Aug → | ||
| 6–13 | -0.05 | 20% | 19 Aug → | ||
| 13–6 | 0.01 | 18% | 19 Aug → | ||
| 4–13 | 0.02 | 25% | 18 Aug → | ||
| 13–11 | 0.03 | 12% | 18 Aug → | ||
| 13–8 | 0.00 | 17% | 18 Aug → | ||
| 6–13 | 0.01 | 23% | 18 Aug → | ||
| 13–9 | 0.10 | 15% | 18 Aug → | ||
| 13–4 | 0.09 | 9% | 18 Aug → | ||
| 13–10 | 0.03 | 12% | 18 Aug → | ||
| 9–13 | 0.01 | 14% | 18 Aug → | ||
| 13–4 | -0.03 | 15% | 18 Aug → | ||
| 13–8 | 0.03 | 25% | 18 Aug → | ||
| 2–7 | -0.01 | 13% | 18 Aug → | ||
| 3–0 | 0.03 | 25% | 17 Aug → | ||
| 6–13 | 0.02 | 15% | 17 Aug → | ||
| 13–4 | -0.00 | 11% | 16 Aug → | ||
| 3–13 | -0.02 | 11% | 16 Aug → | ||
| 13–7 | 0.08 | 11% | 16 Aug → | ||
| 13–8 | -0.02 | 16% | 16 Aug → | ||
| 15–15 | 0.14 | 10% | 16 Aug → | ||
| 13–5 | 0.08 | 10% | 16 Aug → | ||
| 13–0 | 0.11 | 23% | 16 Aug → | ||
| 13–2 | -0.07 | 5% | 16 Aug → | ||
| 12–12 | 0.11 | 13% | 16 Aug → | ||
| 10–13 | 0.08 | 10% | 16 Aug → | ||
| 13–6 | 0.05 | 12% | 16 Aug → | ||
| 13–10 | 0.07 | 15% | 16 Aug → | ||
| 5–13 | -0.03 | 11% | 16 Aug → | ||
| 27–31 | -0.01 | 13% | 16 Aug → | ||
| 5–13 | -0.04 | 11% | 11 Aug → | ||
| 10–13 | -0.07 | 20% | 11 Aug → | ||
| 4–13 | 0.06 | 9% | 9 Aug → | ||
| 13–9 | -0.01 | 15% | 9 Aug → | ||
| 13–11 | 0.05 | 21% | 9 Aug → | ||
| 9–1 | 0.24 | 24% | 9 Aug → | ||
| 9–13 | 0.07 | 18% | 8 Aug → | ||
| 7–13 | -0.01 | 19% | 8 Aug → | ||
| 12–12 | -0.01 | 33% | 8 Aug → | ||
| 4–13 | 0.10 | 15% | 7 Aug → | ||
| 13–9 | -0.01 | 19% | 7 Aug → | ||
| 13–4 | 0.02 | 22% | 7 Aug → |
Match data via Leetify.