Kim Deal — CS2 Stats
CA76561199742815278[U:1:1782549550]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 37.6% | 42.1% | 42.1% | 4.5% short |
| Shot accuracy | 0.0% | 12.9% | 12.1% | 12.1% short |
| Kill/death ratio | 0.93 | 1.00 | 0.99 | 0.06 short |
| Match win rate | 45.0% | 42.9% | 43.9% | above |
This profile matches the typical Level 3 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +60pp win rate · +0.04 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 77% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 28% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 58% 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 3.5/10 (Learning), 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 |
|---|---|---|---|---|---|
 inferno | C | 25 | 10–15 | 40% | 0.04 |
 mirage | B | 17 | 8–9 | 47% | -0.01 |
 nuke | B | 15 | 7–8 | 47% | -0.01 |
| office | C | 14 | 6–8 | 43% | 0.04 |
 ancient | S | 12 | 8–4 | 67% | -0.02 |
 dust2 | B | 10 | 5–5 | 50% | 0.03 |
 vertigo | — | 4 | 3–1 | 75% | 0.09 |
 anubis | — | 2 | 1–1 | 50% | 0.00 |
 cache | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 25). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 43% | 0.77 | 12.5 |
| Ancient | 11 | 55% | 0.76 | 13.6 |
| Nuke | 8 | 38% | 0.66 | 11.5 |
| Dust2 | 5 | 40% | 0.71 | 13.4 |
| Inferno | 4 | 25% | 1.44 | 12.0 |
| Anubis | 3 | 33% | 0.60 | 10.3 |
| Cache | 1 | 100% | 0.67 | 10.0 |
| Vertigo | 1 | 0% | 0.83 | 19.0 |
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.
- 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 12.5753° — 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 14.2414% — 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 0.4983 — 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.
40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–2 | -0.12 | 0% | 28 Aug → | |
| mirage | 13–2 | -0.07 | 25% | 28 Aug → | |
| office | 7–0 | -0.04 | 13% | 28 Aug → | |
| inferno | 8–8 | 0.03 | 5% | 26 Aug → | |
| office | 13–4 | 0.07 | 3% | 26 Aug → | |
| cache | 8–13 | 0.02 | 12% | 26 Aug → | |
| dust2 | 12–12 | -0.02 | 11% | 25 Aug → | |
| dust2 | 13–4 | 0.16 | 16% | 25 Aug → | |
| anubis | 13–7 | 0.05 | 16% | 23 Aug → | |
| inferno | 13–7 | -0.01 | 13% | 23 Aug → | |
| mirage | 4–13 | -0.01 | 28% | 23 Aug → | |
| anubis | 14–16 | -0.04 | 22% | 23 Aug → | |
| inferno | 8–8 | 0.08 | 11% | 22 Aug → | |
| inferno | 4–9 | -0.01 | 9% | 22 Aug → | |
| mirage | 10–13 | 0.00 | 12% | 21 Aug → | |
| dust2 | 5–13 | -0.05 | 22% | 21 Aug → | |
| mirage | 9–13 | -0.01 | 10% | 21 Aug → | |
| mirage | 4–13 | -0.10 | 18% | 21 Aug → | |
| ancient | 13–8 | -0.11 | 23% | 21 Aug → | |
| ancient | 10–13 | -0.06 | 15% | 19 Aug → | |
| ancient | 12–12 | -0.00 | 21% | 19 Aug → | |
| mirage | 13–6 | 0.06 | 13% | 19 Aug → | |
| dust2 | 13–6 | 0.10 | 13% | 16 Aug → | |
| inferno | 13–2 | 0.03 | 14% | 16 Aug → | |
| nuke | 3–13 | -0.11 | 4% | 15 Aug → | |
| ancient | 19–17 | -0.01 | 20% | 15 Aug → | |
| mirage | 11–13 | -0.03 | 15% | 13 Aug → | |
| mirage | 13–11 | -0.06 | 10% | 13 Aug → | |
| vertigo | 13–16 | -0.03 | 8% | 12 Aug → | |
| nuke | 10–13 | -0.04 | 7% | 12 Aug → | |
| dust2 | 13–4 | 0.07 | 14% | 12 Aug → | |
| mirage | 13–1 | -0.02 | 18% | 12 Aug → | |
| mirage | 13–9 | -0.06 | 8% | 12 Aug → | |
| nuke | 9–2 | 0.06 | 16% | 12 Aug → | |
| nuke | 9–1 | 0.04 | 0% | 12 Aug → | |
| dust2 | 13–10 | -0.01 | 9% | 12 Aug → | |
| inferno | 3–9 | 0.01 | 7% | 12 Aug → | |
| ancient | 9–13 | 0.05 | 11% | 11 Aug → | |
| mirage | 7–13 | -0.01 | 10% | 11 Aug → | |
| inferno | 6–13 | -0.07 | 5% | 11 Aug → | |
| ancient | 13–11 | -0.01 | 14% | 11 Aug → | |
| mirage | 13–8 | 0.02 | 8% | 11 Aug → | |
| inferno | 8–13 | -0.00 | 23% | 11 Aug → | |
| ancient | 13–9 | -0.01 | 15% | 11 Aug → | |
| mirage | 13–6 | -0.01 | 17% | 10 Aug → | |
| nuke | 13–11 | -0.03 | 9% | 10 Aug → | |
| inferno | 13–1 | 0.10 | 17% | 10 Aug → | |
| nuke | 13–10 | -0.03 | 15% | 10 Aug → | |
| nuke | 9–13 | 0.02 | 17% | 10 Aug → | |
| nuke | 15–15 | 0.01 | 14% | 9 Aug → | |
| ancient | 13–10 | 0.02 | 8% | 9 Aug → | |
| mirage | 6–13 | 0.01 | 12% | 9 Aug → | |
| nuke | 13–7 | 0.05 | 17% | 8 Aug → | |
| inferno | 14–16 | 0.03 | 11% | 8 Aug → | |
| ancient | 13–10 | -0.01 | 14% | 8 Aug → | |
| office | 12–12 | 0.06 | 23% | 7 Aug → | |
| mirage | 10–13 | 0.07 | 14% | 6 Aug → | |
| dust2 | 7–13 | -0.01 | 19% | 6 Aug → | |
| office | 13–7 | 0.16 | 22% | 6 Aug → | |
| vertigo | 13–2 | 0.03 | 9% | 6 Aug → | |
| dust2 | 7–0 | 0.03 | 14% | 6 Aug → | |
| inferno | 7–9 | 0.01 | 14% | 5 Aug → | |
| office | 10–13 | 0.04 | 25% | 5 Aug → | |
| inferno | 9–6 | -0.02 | 15% | 29 Jul → | |
| inferno | 9–1 | 0.39 | 32% | 29 Jul → | |
| dust2 | 8–13 | 0.04 | 16% | 29 Jul → | |
| mirage | 7–13 | -0.09 | 12% | 29 Jul → | |
| inferno | 15–15 | 0.08 | 17% | 29 Jul → | |
| inferno | 9–2 | 0.01 | 14% | 29 Jul → | |
| inferno | 8–8 | 0.08 | 15% | 29 Jul → | |
| nuke | 8–13 | -0.04 | 15% | 22 Jul → | |
| office | 6–13 | -0.02 | 25% | 21 Jul → | |
| office | 9–13 | -0.05 | 18% | 21 Jul → | |
| nuke | 13–2 | 0.14 | 18% | 21 Jul → | |
| office | 13–7 | 0.02 | 19% | 21 Jul → | |
| dust2 | 13–16 | -0.05 | 10% | 18 Jul → | |
| nuke | 8–13 | 0.03 | 23% | 18 Jul → | |
| inferno | 13–6 | 0.04 | 19% | 18 Jul → | |
| ancient | 2–13 | -0.06 | 7% | 18 Jul → | |
| office | 13–7 | 0.14 | 15% | 18 Jul → | |
| inferno | 7–9 | 0.12 | 27% | 17 Jul → | |
| mirage | 13–4 | 0.11 | 12% | 17 Jul → | |
| ancient | 13–11 | -0.03 | 13% | 16 Jul → | |
| inferno | 14–16 | -0.01 | 15% | 16 Jul → | |
| nuke | 9–13 | -0.06 | 14% | 16 Jul → | |
| inferno | 9–7 | 0.07 | 10% | 15 Jul → | |
| vertigo | 13–2 | 0.27 | 20% | 13 Jul → | |
| nuke | 10–13 | -0.07 | 21% | 12 Jul → | |
| office | 11–13 | 0.05 | 13% | 12 Jul → | |
| inferno | 9–7 | -0.04 | 18% | 12 Jul → | |
| inferno | 9–4 | 0.07 | 9% | 12 Jul → | |
| inferno | 7–9 | -0.08 | 18% | 12 Jul → | |
| office | 13–6 | 0.03 | 18% | 11 Jul → | |
| ancient | 13–9 | 0.00 | 8% | 11 Jul → | |
| inferno | 5–9 | 0.01 | 15% | 11 Jul → | |
| office | 9–13 | 0.08 | 11% | 10 Jul → | |
| vertigo | 13–3 | 0.07 | 9% | 9 Jul → | |
| office | 7–13 | 0.00 | 13% | 9 Jul → | |
| inferno | 4–9 | 0.04 | 17% | 9 Jul → | |
| office | 10–13 | 0.05 | 13% | 9 Jul → |
Match data via Leetify.