koda — CS2 Stats
76561199008375238[U:1:1048109510]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong 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 b1t 87% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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
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 53% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 34 | 17–17 | 50% | 0.00 | |
| B | 29 | 15–14 | 52% | 0.02 | |
| A | 14 | 8–6 | 57% | 0.02 | |
| A | 9 | 5–4 | 56% | 0.03 | |
| S | 7 | 5–2 | 71% | 0.02 | |
| — | 4 | 1–3 | 25% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.09 | |
| office | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (50% over 34). Start with the 6 essential Dust 2 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 50% | 0.74 | 11.3 |
| Dust2 | 2 | 100% | 0.84 | 10.5 |
| Anubis | 2 | 0% | 0.79 | 15.0 |
| Nuke | 1 | 100% | 1.06 | 17.0 |
| Ancient | 1 | 100% | 0.72 | 13.0 |
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.
- 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 0.4623 — 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 34.4599% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.09 | 8% | 11 Jul → | ||
| 8–13 | 0.07 | 18% | 6 Jul → | ||
| 3–13 | -0.09 | 13% | 29 Jun → | ||
| 13–5 | 0.06 | 33% | 29 Jun → | ||
| 10–13 | -0.00 | 17% | 28 Jun → | ||
| 8–13 | -0.05 | 26% | 28 Jun → | ||
| 13–10 | -0.03 | 17% | 28 Jun → | ||
| 16–14 | 0.02 | 15% | 28 Jun → | ||
| 4–13 | 0.03 | 21% | 28 Jun → | ||
| 13–9 | 0.00 | 12% | 27 Jun → | ||
| 3–13 | -0.03 | 22% | 24 Jun → | ||
| 8–13 | -0.01 | 12% | 24 Jun → | ||
| 13–11 | -0.00 | 21% | 24 Jun → | ||
| 9–3 | 0.01 | 22% | 24 Jun → | ||
| 13–3 | -0.00 | 21% | 23 Jun → | ||
| 13–5 | 0.07 | 16% | 23 Jun → | ||
| 2–13 | -0.01 | 36% | 21 Jun → | ||
| 4–13 | -0.08 | 13% | 21 Jun → | ||
| 13–8 | 0.05 | 22% | 21 Jun → | ||
| 11–13 | 0.09 | 25% | 21 Jun → | ||
| 9–13 | -0.06 | 17% | 20 Jun → | ||
| 10–13 | -0.06 | 20% | 19 Jun → | ||
| 4–13 | 0.01 | 16% | 19 Jun → | ||
| 6–13 | -0.01 | 20% | 19 Jun → | ||
| 13–7 | 0.06 | 26% | 19 Jun → | ||
| 2–13 | -0.01 | 20% | 18 Jun → | ||
| 4–13 | -0.02 | 22% | 18 Jun → | ||
| 13–9 | -0.01 | 23% | 18 Jun → | ||
| 4–13 | 0.03 | 28% | 18 Jun → | ||
| 13–4 | 0.07 | 19% | 18 Jun → | ||
| 13–6 | 0.02 | 27% | 16 Jun → | ||
| 8–13 | 0.08 | 22% | 16 Jun → | ||
| 13–6 | 0.15 | 23% | 16 Jun → | ||
| 13–2 | 0.02 | 32% | 16 Jun → | ||
| 13–11 | 0.04 | 14% | 16 Jun → | ||
| 13–6 | 0.01 | 19% | 16 Jun → | ||
| 13–9 | -0.03 | 11% | 16 Jun → | ||
| 13–4 | 0.04 | 24% | 16 Jun → | ||
| 13–7 | 0.09 | 25% | 16 Jun → | ||
| 13–5 | 0.10 | 14% | 16 Jun → | ||
| 13–6 | -0.02 | 30% | 16 Jun → | ||
| 4–13 | -0.01 | 33% | 16 Jun → | ||
| 5–13 | -0.06 | 4% | 16 Jun → | ||
| 13–3 | -0.03 | 24% | 15 Jun → | ||
| 13–9 | 0.02 | 20% | 15 Jun → | ||
| 7–13 | -0.02 | 15% | 15 Jun → | ||
| 13–10 | 0.07 | 28% | 15 Jun → | ||
| 13–11 | 0.05 | 18% | 15 Jun → | ||
| office | 9–13 | 0.05 | 26% | 15 Jun → | |
| 3–13 | -0.08 | 18% | 14 Jun → | ||
| 13–16 | -0.01 | 30% | 13 Jun → | ||
| 9–13 | -0.00 | 16% | 13 Jun → | ||
| 11–13 | -0.04 | 19% | 13 Jun → | ||
| 13–8 | 0.01 | 24% | 13 Jun → | ||
| 9–13 | -0.05 | 11% | 12 Jun → | ||
| 13–10 | 0.05 | 13% | 10 Jun → | ||
| 5–13 | 0.01 | 34% | 8 Jun → | ||
| 13–10 | -0.08 | 14% | 6 Jun → | ||
| 3–13 | -0.03 | 13% | 6 Jun → | ||
| 4–13 | 0.01 | 18% | 6 Jun → | ||
| 1–13 | -0.07 | 21% | 5 Jun → | ||
| 13–1 | 0.24 | 28% | 5 Jun → | ||
| 15–15 | 0.06 | 19% | 5 Jun → | ||
| 10–13 | 0.10 | 26% | 5 Jun → | ||
| 13–9 | 0.04 | 19% | 5 Jun → | ||
| 13–5 | 0.04 | 22% | 4 Jun → | ||
| 13–1 | 0.13 | 20% | 4 Jun → | ||
| 13–6 | -0.03 | 19% | 4 Jun → | ||
| 7–13 | -0.02 | 27% | 3 Jun → | ||
| 13–8 | 0.02 | 27% | 3 Jun → | ||
| 13–9 | 0.16 | 21% | 3 Jun → | ||
| 13–3 | 0.01 | 28% | 3 Jun → | ||
| 8–13 | -0.01 | 22% | 3 Jun → | ||
| 16–14 | -0.06 | 17% | 2 Jun → | ||
| 13–1 | -0.04 | 0% | 2 Jun → | ||
| 13–6 | 0.03 | 13% | 1 Jun → | ||
| 13–7 | 0.04 | 25% | 1 Jun → | ||
| 5–13 | -0.03 | 23% | 1 Jun → | ||
| 10–13 | -0.04 | 25% | 31 May → | ||
| 13–7 | 0.13 | 18% | 31 May → | ||
| 1–13 | -0.00 | 27% | 30 May → | ||
| 13–1 | 0.07 | 28% | 30 May → | ||
| 13–7 | -0.02 | 10% | 30 May → | ||
| 7–13 | 0.06 | 28% | 30 May → | ||
| 4–13 | -0.04 | 16% | 29 May → | ||
| 15–15 | 0.06 | 19% | 26 May → | ||
| 14–16 | 0.09 | 20% | 26 May → | ||
| 6–13 | -0.01 | 32% | 26 May → | ||
| 13–9 | 0.09 | 18% | 26 May → | ||
| 14–16 | -0.03 | 21% | 26 May → | ||
| 13–4 | -0.02 | 25% | 26 May → | ||
| 13–10 | 0.07 | 15% | 26 May → | ||
| 13–5 | 0.02 | 36% | 26 May → | ||
| 13–9 | 0.08 | 29% | 26 May → | ||
| 3–1 | -0.09 | 17% | 26 May → | ||
| 13–11 | 0.05 | 26% | 25 May → | ||
| 11–13 | 0.00 | 26% | 25 May → | ||
| 9–13 | 0.01 | 17% | 25 May → | ||
| 13–11 | 0.09 | 35% | 24 May → | ||
| 13–10 | 0.02 | 17% | 24 May → |
Match data via Leetify.