Kaffir Kefka — CS2 Stats
DE76561198068520540[U:1:108254812]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp 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 NiKo 62% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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
T-side openings. Opening success drops from 46% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 651ms 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 3.4/10 (Learning), 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 63 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 |
|---|---|---|---|---|---|
 inferno | C | 18 | 8–10 | 44% | 0.02 |
 dust2 | A | 11 | 6–5 | 55% | -0.01 |
 cache | B | 10 | 5–5 | 50% | 0.01 |
 mirage | S | 6 | 4–2 | 67% | 0.00 |
 nuke | — | 4 | 1–3 | 25% | -0.04 |
 vertigo | — | 3 | 1–2 | 33% | -0.06 |
 anubis | — | 3 | 1–2 | 33% | -0.03 |
| office | — | 3 | 2–1 | 67% | 0.06 |
 train | — | 2 | 1–1 | 50% | -0.03 |
 ancient | — | 1 | 0–1 | 0% | -0.02 |
 overpass | — | 1 | 1–0 | 100% | -0.06 |
| warden | — | 1 | 0–1 | 0% | 0.03 |
Across the last 63 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Inferno 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.
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 12.7995° — 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 13.986% — 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 0.2747 — 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.
44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 0–13 | -0.10 | 5% | 6 Aug → | |
| cache | 16–14 | 0.00 | 16% | 14 Jul → | |
| dust2 | 4–13 | -0.07 | 12% | 14 Jul → | |
| nuke | 0–2 | -0.17 | 0% | 14 Jul → | |
| ancient | 0–13 | -0.02 | 0% | 14 Jul → | |
| cache | 6–13 | -0.07 | 28% | 14 Jul → | |
| nuke | 0–8 | -0.12 | 0% | 14 Jul → | |
| mirage | 4–13 | -0.03 | 14% | 14 Jul → | |
| dust2 | 3–13 | -0.04 | 15% | 7 Jul → | |
| mirage | 7–3 | -0.04 | 9% | 6 Jul → | |
| mirage | 13–7 | -0.01 | 15% | 6 Jul → | |
| mirage | 1–13 | -0.05 | 29% | 6 Jul → | |
| inferno | 13–8 | -0.05 | 16% | 24 Jun → | |
| overpass | 13–6 | -0.06 | 8% | 24 Jun → | |
| nuke | 13–7 | 0.00 | 22% | 24 Jun → | |
| inferno | 16–12 | -0.04 | 15% | 24 Jun → | |
| dust2 | 13–4 | -0.06 | 18% | 22 Jun → | |
| train | 13–6 | -0.05 | 8% | 20 Jun → | |
| train | 11–13 | -0.00 | 12% | 20 Jun → | |
| inferno | 8–8 | -0.08 | 17% | 20 Jun → | |
| inferno | 5–9 | 0.01 | 15% | 12 Jun → | |
| dust2 | 4–13 | 0.09 | 17% | 11 Jun → | |
| dust2 | 10–2 | 0.02 | 10% | 11 Jun → | |
| inferno | 13–7 | 0.03 | 18% | 11 Jun → | |
| vertigo | 10–13 | 0.00 | 18% | 8 Jun → | |
| vertigo | 13–10 | -0.12 | 16% | 8 Jun → | |
| inferno | 4–9 | 0.08 | 13% | 29 May → | |
| inferno | 2–9 | -0.18 | 7% | 29 May → | |
| cache | 5–13 | -0.02 | 21% | 28 May → | |
| anubis | 13–4 | -0.04 | 2% | 28 May → | |
| office | 13–8 | -0.01 | 8% | 28 May → | |
| anubis | 2–13 | -0.04 | 8% | 28 May → | |
| vertigo | 3–13 | -0.07 | 18% | 21 May → | |
| anubis | 4–13 | -0.02 | 12% | 21 May → | |
| dust2 | 6–13 | -0.08 | 7% | 21 May → | |
| mirage | 13–2 | 0.10 | 16% | 21 May → | |
| inferno | 8–8 | 0.12 | 9% | 21 May → | |
| inferno | 9–4 | 0.07 | 8% | 18 May → | |
| cache | 13–2 | -0.05 | 0% | 17 May → | |
| dust2 | 13–2 | 0.05 | 4% | 17 May → | |
| dust2 | 13–9 | 0.07 | 14% | 14 May → | |
| mirage | 13–4 | 0.05 | 4% | 14 May → | |
| dust2 | 13–3 | -0.01 | 11% | 14 May → | |
| warden | 11–13 | 0.03 | 8% | 14 May → | |
| office | 8–13 | 0.02 | 10% | 13 May → | |
| office | 13–6 | 0.15 | 10% | 13 May → | |
| dust2 | 13–8 | 0.00 | 12% | 12 May → | |
| cache | 13–8 | 0.07 | 9% | 12 May → | |
| cache | 11–13 | -0.01 | 16% | 12 May → | |
| inferno | 9–5 | 0.20 | 13% | 12 May → | |
| inferno | 6–9 | 0.02 | 12% | 12 May → | |
| inferno | 8–8 | -0.00 | 15% | 12 May → | |
| cache | 1–9 | -0.06 | 5% | 11 May → | |
| inferno | 9–5 | 0.10 | 7% | 11 May → | |
| nuke | 11–13 | 0.11 | 15% | 10 May → | |
| cache | 13–10 | 0.10 | 9% | 10 May → | |
| inferno | 11–13 | 0.00 | 13% | 10 May → | |
| cache | 3–13 | 0.09 | 19% | 10 May → | |
| inferno | 0–9 | -0.18 | 27% | 10 May → | |
| inferno | 5–9 | -0.09 | 5% | 10 May → | |
| cache | 13–3 | 0.03 | 16% | 8 May → | |
| inferno | 9–6 | 0.18 | 20% | 8 May → | |
| inferno | 9–6 | 0.15 | 22% | 7 May → |
Match data via Leetify.
