Dankonite — CS2 Stats
US76561198106326563[U:1:146060835]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 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 jL 95% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 85 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 51% on CT to 36% 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 6.3/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 31 | 14–17 | 45% | 0.07 | |
| C | 18 | 8–10 | 44% | 0.06 | |
| S | 11 | 8–3 | 73% | 0.07 | |
| A | 11 | 7–4 | 64% | 0.08 | |
| C | 11 | 4–7 | 36% | 0.06 | |
| B | 8 | 4–4 | 50% | 0.06 | |
| D | 5 | 1–4 | 20% | 0.11 | |
| office | — | 3 | 0–3 | 0% | 0.03 |
| — | 2 | 2–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 93 | 53% | 1.44 | 18.1 |
| Mirage | 67 | 55% | 1.46 | 19.2 |
| Ancient | 60 | 52% | 1.43 | 18.4 |
| Nuke | 32 | 50% | 1.39 | 18.6 |
| Anubis | 19 | 63% | 1.43 | 18.6 |
| Cache | 9 | 33% | 1.62 | 19.4 |
| Inferno | 6 | 33% | 1.12 | 14.2 |
| Train | 4 | 75% | 1.18 | 15.0 |
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 14.7838% — below the 15% 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 35.7344% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.07 | 15% | 30 Aug → | ||
| 6–13 | 0.01 | 19% | 30 Aug → | ||
| 13–6 | 0.11 | 10% | 30 Aug → | ||
| 13–9 | 0.08 | 16% | 30 Aug → | ||
| 7–13 | 0.08 | 9% | 30 Aug → | ||
| 12–12 | 0.15 | 14% | 28 Aug → | ||
| 13–8 | 0.06 | 22% | 28 Aug → | ||
| 12–16 | 0.03 | 8% | 28 Aug → | ||
| 9–13 | 0.08 | 10% | 28 Aug → | ||
| 11–13 | 0.12 | 17% | 27 Aug → | ||
| 13–10 | 0.07 | 19% | 27 Aug → | ||
| 13–10 | 0.02 | 10% | 27 Aug → | ||
| 3–13 | 0.05 | 14% | 26 Aug → | ||
| 5–13 | 0.24 | 17% | 26 Aug → | ||
| 13–9 | 0.06 | 14% | 26 Aug → | ||
| 13–5 | 0.07 | 11% | 26 Aug → | ||
| 7–13 | 0.04 | 25% | 26 Aug → | ||
| 13–7 | 0.04 | 9% | 26 Aug → | ||
| 13–11 | 0.07 | 15% | 25 Aug → | ||
| 6–13 | 0.08 | 12% | 25 Aug → | ||
| 11–13 | 0.09 | 11% | 25 Aug → | ||
| 5–13 | -0.01 | 25% | 25 Aug → | ||
| 3–13 | 0.00 | 22% | 25 Aug → | ||
| 12–12 | 0.11 | 22% | 24 Aug → | ||
| 8–13 | 0.06 | 17% | 24 Aug → | ||
| 13–7 | 0.09 | 19% | 19 Aug → | ||
| 12–12 | 0.04 | 13% | 19 Aug → | ||
| 15–15 | 0.08 | 12% | 19 Aug → | ||
| 8–13 | -0.01 | 17% | 19 Aug → | ||
| 13–7 | 0.11 | 6% | 16 Aug → | ||
| 13–5 | 0.05 | 17% | 16 Aug → | ||
| 13–7 | 0.19 | 13% | 16 Aug → | ||
| 3–0 | 0.07 | 0% | 16 Aug → | ||
| 11–13 | 0.07 | 11% | 16 Aug → | ||
| 13–2 | 0.11 | 13% | 16 Aug → | ||
| 13–9 | 0.07 | 13% | 16 Aug → | ||
| 13–10 | 0.10 | 9% | 16 Aug → | ||
| 13–11 | 0.07 | 20% | 16 Aug → | ||
| 13–6 | 0.12 | 18% | 16 Aug → | ||
| 7–13 | -0.03 | 17% | 15 Aug → | ||
| 13–5 | 0.16 | 15% | 15 Aug → | ||
| 13–10 | -0.00 | 22% | 15 Aug → | ||
| 7–13 | 0.01 | 18% | 15 Aug → | ||
| 13–8 | 0.08 | 15% | 15 Aug → | ||
| 13–6 | 0.11 | 17% | 14 Aug → | ||
| 9–13 | 0.09 | 14% | 14 Aug → | ||
| 13–10 | 0.06 | 18% | 14 Aug → | ||
| 3–13 | 0.05 | 13% | 14 Aug → | ||
| 9–13 | 0.15 | 17% | 14 Aug → | ||
| 9–13 | 0.05 | 13% | 14 Aug → | ||
| 13–4 | 0.05 | 12% | 14 Aug → | ||
| 13–4 | 0.10 | 11% | 13 Aug → | ||
| 13–6 | 0.06 | 16% | 13 Aug → | ||
| 13–7 | 0.03 | 11% | 13 Aug → | ||
| office | 7–13 | 0.02 | 9% | 12 Aug → | |
| 13–7 | 0.12 | 18% | 12 Aug → | ||
| 2–13 | 0.06 | 16% | 12 Aug → | ||
| 7–13 | 0.15 | 22% | 11 Aug → | ||
| 12–12 | 0.11 | 15% | 11 Aug → | ||
| office | 5–13 | -0.01 | 17% | 11 Aug → | |
| 11–13 | 0.12 | 18% | 9 Aug → | ||
| 6–13 | 0.07 | 11% | 9 Aug → | ||
| 2–13 | 0.05 | 9% | 9 Aug → | ||
| 4–13 | 0.10 | 22% | 7 Aug → | ||
| 3–13 | 0.06 | 11% | 7 Aug → | ||
| 8–6 | 0.05 | 10% | 7 Aug → | ||
| 6–13 | 0.09 | 12% | 5 Aug → | ||
| 6–13 | -0.02 | 18% | 5 Aug → | ||
| office | 5–13 | 0.07 | 15% | 5 Aug → | |
| 13–8 | 0.02 | 11% | 5 Aug → | ||
| 13–9 | 0.03 | 23% | 5 Aug → | ||
| 10–13 | 0.01 | 24% | 4 Aug → | ||
| 13–8 | 0.23 | 18% | 4 Aug → | ||
| 11–13 | 0.05 | 14% | 4 Aug → | ||
| 8–13 | -0.03 | 6% | 30 Jul → | ||
| 4–0 | 0.13 | 30% | 30 Jul → | ||
| 5–13 | 0.04 | 8% | 30 Jul → | ||
| 2–13 | 0.09 | 11% | 29 Jul → | ||
| 13–9 | 0.08 | 10% | 29 Jul → | ||
| 13–10 | 0.11 | 21% | 29 Jul → | ||
| 16–14 | -0.01 | 9% | 28 Jul → | ||
| 13–5 | -0.01 | 15% | 28 Jul → | ||
| 13–10 | 0.16 | 13% | 28 Jul → | ||
| 9–13 | -0.00 | 12% | 25 Jul → | ||
| 13–9 | 0.01 | 14% | 25 Jul → | ||
| 6–13 | 0.01 | 12% | 24 Jul → | ||
| 6–13 | 0.03 | 26% | 24 Jul → | ||
| 13–11 | 0.15 | 18% | 24 Jul → | ||
| 13–3 | 0.10 | 17% | 24 Jul → | ||
| 8–13 | 0.04 | 13% | 22 Jul → | ||
| 10–13 | 0.04 | 9% | 22 Jul → | ||
| 8–13 | 0.08 | 14% | 21 Jul → | ||
| 3–13 | 0.12 | 20% | 16 Jul → | ||
| 13–8 | 0.07 | 13% | 16 Jul → | ||
| 5–5 | -0.03 | 10% | 16 Jul → | ||
| 2–13 | 0.05 | 7% | 15 Jul → | ||
| 13–2 | 0.03 | 14% | 15 Jul → | ||
| 13–10 | 0.09 | 13% | 15 Jul → | ||
| 13–11 | 0.14 | 14% | 14 Jul → | ||
| 6–13 | 0.08 | 10% | 14 Jul → |
Match data via Leetify.