Kyle "Kyle the Gamer" Gamer Kyle — CS2 Stats
US76561198413149942[U:1:452884214]Steam profile ↗
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 44.3% | 44.1% | 47.2% | 3.0% short |
| Shot accuracy | 17.1% | 11.4% | 12.7% | above |
| Kill/death ratio | 0.96 | 1.03 | 1.09 | 0.13 short |
| Match win rate | 42.1% | 45.2% | 46.6% | 4.5% short |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Pink band 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: +10pp 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 85% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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 55% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 649ms 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 |
|---|---|---|---|---|---|
 mirage | B | 28 | 14–14 | 50% | 0.00 |
 anubis | A | 16 | 9–7 | 56% | -0.01 |
 ancient | B | 16 | 8–8 | 50% | -0.01 |
 dust2 | A | 16 | 10–6 | 63% | -0.01 |
 inferno | A | 9 | 5–4 | 56% | -0.01 |
 nuke | D | 6 | 1–5 | 17% | -0.03 |
 train | — | 3 | 1–2 | 33% | 0.00 |
 cache | — | 2 | 2–0 | 100% | 0.01 |
 overpass | — | 2 | 1–1 | 50% | -0.00 |
| office | — | 1 | 1–0 | 100% | 0.06 |
 vertigo | — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 82 | 44% | 0.90 | 13.1 |
| Anubis | 51 | 51% | 0.99 | 14.2 |
| Ancient | 40 | 42% | 0.94 | 15.4 |
| Inferno | 36 | 42% | 0.85 | 13.3 |
| Dust2 | 26 | 65% | 1.10 | 13.8 |
| Nuke | 22 | 45% | 0.85 | 12.3 |
| Vertigo | 18 | 72% | 0.86 | 13.6 |
| Train | 15 | 53% | 0.98 | 16.3 |
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 14.7027% — 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 12.3667% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 5–13 | -0.08 | 9% | 8 Jul → | |
| cache | 13–10 | -0.01 | 9% | 8 Jul → | |
| mirage | 13–10 | -0.04 | 14% | 6 Jul → | |
| ancient | 8–13 | -0.07 | 15% | 6 Jul → | |
| anubis | 13–9 | 0.03 | 11% | 6 Jul → | |
| ancient | 8–13 | -0.05 | 10% | 4 Jul → | |
| mirage | 10–13 | -0.02 | 16% | 4 Jul → | |
| dust2 | 6–13 | -0.07 | 8% | 4 Jul → | |
| mirage | 7–13 | -0.05 | 13% | 12 Jun → | |
| mirage | 13–7 | 0.07 | 5% | 8 Jun → | |
| mirage | 13–8 | 0.05 | 15% | 8 Jun → | |
| anubis | 8–13 | -0.02 | 13% | 8 Jun → | |
| mirage | 8–13 | -0.09 | 8% | 6 Jun → | |
| nuke | 9–13 | -0.03 | 27% | 6 Jun → | |
| overpass | 7–13 | -0.06 | 17% | 6 Jun → | |
| anubis | 6–13 | 0.03 | 12% | 5 Jun → | |
| mirage | 15–15 | 0.07 | 19% | 5 Jun → | |
| anubis | 13–9 | 0.00 | 19% | 5 Jun → | |
| dust2 | 2–13 | 0.00 | 17% | 4 Jun → | |
| mirage | 16–14 | 0.01 | 17% | 3 Jun → | |
| anubis | 13–1 | 0.05 | 14% | 3 Jun → | |
| dust2 | 13–3 | 0.01 | 16% | 3 Jun → | |
| anubis | 9–13 | -0.01 | 21% | 3 Jun → | |
| mirage | 13–10 | -0.01 | 15% | 2 Jun → | |
| ancient | 3–13 | -0.07 | 19% | 2 Jun → | |
| dust2 | 13–7 | 0.02 | 17% | 31 May → | |
| ancient | 13–1 | -0.01 | 15% | 31 May → | |
| dust2 | 6–13 | -0.05 | 15% | 31 May → | |
| ancient | 13–11 | -0.02 | 24% | 31 May → | |
| overpass | 13–7 | 0.05 | 4% | 25 May → | |
| anubis | 13–11 | 0.02 | 15% | 25 May → | |
| ancient | 13–8 | 0.01 | 10% | 25 May → | |
| mirage | 13–4 | 0.05 | 16% | 25 May → | |
| ancient | 13–4 | -0.01 | 8% | 25 May → | |
| nuke | 5–13 | 0.02 | 19% | 25 May → | |
| mirage | 13–10 | 0.04 | 11% | 23 May → | |
| mirage | 7–13 | -0.04 | 12% | 14 May → | |
| dust2 | 5–13 | -0.09 | 19% | 14 May → | |
| mirage | 9–13 | -0.01 | 16% | 13 May → | |
| dust2 | 3–13 | -0.03 | 14% | 13 May → | |
| mirage | 16–13 | -0.02 | 21% | 11 May → | |
| office | 13–11 | 0.06 | 21% | 10 May → | |
| dust2 | 13–7 | 0.06 | 18% | 10 May → | |
| ancient | 9–13 | 0.02 | 16% | 10 May → | |
| inferno | 13–9 | 0.04 | 8% | 10 May → | |
| vertigo | 13–11 | 0.00 | 12% | 10 May → | |
| cache | 13–9 | 0.03 | 20% | 10 May → | |
| mirage | 13–9 | 0.07 | 13% | 8 May → | |
| nuke | 5–13 | -0.05 | 17% | 25 Apr → | |
| dust2 | 12–12 | -0.03 | 22% | 25 Apr → | |
| dust2 | 13–5 | -0.02 | 15% | 25 Apr → | |
| nuke | 0–13 | -0.07 | 17% | 2 Jul → | |
| ancient | 13–10 | -0.01 | 10% | 2 Jul → | |
| ancient | 13–7 | 0.04 | 3% | 2 Jul → | |
| anubis | 3–13 | -0.00 | 14% | 2 Jul → | |
| mirage | 13–5 | 0.01 | 8% | 1 Jul → | |
| dust2 | 13–6 | 0.03 | 14% | 1 Jul → | |
| inferno | 12–16 | -0.01 | 7% | 1 Jul → | |
| mirage | 13–6 | 0.05 | 17% | 1 Jul → | |
| mirage | 14–16 | -0.03 | 8% | 30 Jun → | |
| inferno | 13–4 | 0.02 | 25% | 30 Jun → | |
| train | 11–13 | -0.00 | 12% | 30 Jun → | |
| inferno | 11–13 | -0.03 | 21% | 30 Jun → | |
| dust2 | 13–10 | -0.04 | 9% | 30 Jun → | |
| ancient | 2–13 | 0.02 | 11% | 30 Jun → | |
| dust2 | 13–11 | 0.04 | 13% | 30 Jun → | |
| anubis | 9–13 | -0.02 | 20% | 30 Jun → | |
| anubis | 13–11 | 0.01 | 9% | 29 Jun → | |
| mirage | 13–4 | 0.02 | 8% | 29 Jun → | |
| anubis | 13–3 | -0.02 | 10% | 29 Jun → | |
| mirage | 13–16 | -0.03 | 20% | 28 Jun → | |
| dust2 | 13–11 | 0.00 | 15% | 28 Jun → | |
| train | 9–13 | -0.00 | 12% | 28 Jun → | |
| anubis | 13–9 | -0.01 | 18% | 28 Jun → | |
| inferno | 13–7 | -0.01 | 19% | 28 Jun → | |
| mirage | 11–12 | 0.01 | 21% | 27 Jun → | |
| inferno | 19–15 | 0.02 | 15% | 27 Jun → | |
| ancient | 9–13 | 0.02 | 15% | 27 Jun → | |
| ancient | 6–13 | -0.01 | 14% | 27 Jun → | |
| anubis | 16–14 | 0.02 | 17% | 27 Jun → | |
| anubis | 3–13 | -0.10 | 6% | 25 Jun → | |
| mirage | 7–13 | -0.04 | 17% | 25 Jun → | |
| train | 19–16 | 0.01 | 18% | 25 Jun → | |
| ancient | 19–17 | 0.02 | 15% | 24 Jun → | |
| anubis | 13–4 | -0.01 | 17% | 24 Jun → | |
| mirage | 13–4 | 0.04 | 17% | 24 Jun → | |
| mirage | 5–13 | -0.00 | 13% | 23 Jun → | |
| dust2 | 13–7 | -0.02 | 15% | 23 Jun → | |
| ancient | 16–14 | -0.01 | 11% | 23 Jun → | |
| mirage | 10–13 | -0.01 | 19% | 23 Jun → | |
| inferno | 14–16 | -0.01 | 10% | 22 Jun → | |
| mirage | 9–13 | -0.00 | 15% | 22 Jun → | |
| dust2 | 13–4 | 0.04 | 11% | 20 Jun → | |
| inferno | 22–19 | 0.01 | 12% | 20 Jun → | |
| inferno | 3–9 | -0.12 | 25% | 20 Jun → | |
| nuke | 13–11 | 0.03 | 13% | 20 Jun → | |
| mirage | 13–11 | 0.01 | 8% | 20 Jun → | |
| ancient | 5–13 | -0.05 | 17% | 20 Jun → | |
| mirage | 11–13 | -0.06 | 13% | 19 Jun → | |
| nuke | 11–13 | -0.07 | 10% | 18 Jun → |
Match data via Leetify.
