kyleram — CS2 Stats
76561198858111878[U:1:897846150]✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 35.1% | 40.1% | 41.7% | 6.6% short |
| Shot accuracy | 1.0% | 7.6% | 8.8% | 7.8% short |
| Kill/death ratio | 0.92 | 0.92 | 0.97 | 0.04 short |
| Match win rate | 46.6% | 42.2% | 43.8% | above |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Blue 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: +0pp 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 ropz 77% 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 581ms 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 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 dust2 | A | 21 | 12–9 | 57% | 0.02 |
 vertigo | S | 13 | 9–4 | 69% | 0.01 |
 inferno | S | 12 | 8–4 | 67% | 0.04 |
 mirage | A | 11 | 7–4 | 64% | 0.01 |
 cache | C | 10 | 4–6 | 40% | 0.00 |
 nuke | D | 8 | 2–6 | 25% | 0.00 |
 ancient | A | 7 | 4–3 | 57% | 0.01 |
 train | D | 7 | 2–5 | 29% | 0.01 |
 anubis | D | 6 | 2–4 | 33% | 0.03 |
| office | — | 3 | 1–2 | 33% | 0.02 |
 overpass | — | 2 | 1–1 | 50% | 0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 8). 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 2 | 0% | 0.24 | 3.5 |
| Inferno | 1 | 100% | 1.25 | 10.0 |
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 11.0287% — 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 0.1178 — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 1–7 | -0.03 | 15% | 7 Aug → | |
| dust2 | 13–3 | 0.09 | 31% | 2 Aug → | |
| inferno | 13–3 | -0.02 | 7% | 2 Aug → | |
| vertigo | 12–5 | 0.04 | 14% | 1 Aug → | |
| office | 2–10 | 0.01 | 15% | 1 Aug → | |
| dust2 | 8–13 | -0.02 | 2% | 31 Jul → | |
| dust2 | 12–12 | 0.11 | 11% | 28 Jul → | |
| mirage | 13–5 | 0.03 | 12% | 27 Jul → | |
| dust2 | 6–13 | -0.01 | 13% | 26 Jul → | |
| mirage | 13–9 | -0.00 | 10% | 26 Jul → | |
| vertigo | 13–4 | 0.08 | 8% | 25 Jul → | |
| inferno | 13–10 | -0.08 | 10% | 23 Jul → | |
| cache | 13–11 | -0.00 | 9% | 22 Jul → | |
| inferno | 13–5 | 0.14 | 10% | 21 Jul → | |
| ancient | 10–13 | 0.02 | 7% | 21 Jul → | |
| cache | 7–13 | -0.03 | 14% | 21 Jul → | |
| nuke | 11–13 | -0.05 | 12% | 20 Jul → | |
| dust2 | 13–9 | -0.04 | 10% | 19 Jul → | |
| nuke | 12–12 | 0.01 | 7% | 19 Jul → | |
| mirage | 0–8 | -0.11 | 0% | 18 Jul → | |
| anubis | 13–3 | 0.01 | 3% | 18 Jul → | |
| ancient | 13–4 | -0.03 | 8% | 18 Jul → | |
| train | 13–5 | 0.04 | 8% | 16 Jul → | |
| anubis | 11–13 | 0.04 | 15% | 15 Jul → | |
| train | 8–13 | -0.04 | 0% | 14 Jul → | |
| inferno | 6–13 | -0.02 | 33% | 14 Jul → | |
| dust2 | 13–4 | 0.02 | 16% | 12 Jul → | |
| mirage | 13–1 | 0.18 | 13% | 9 Jul → | |
| ancient | 2–13 | -0.06 | 4% | 9 Jul → | |
| anubis | 13–8 | 0.04 | 7% | 8 Jul → | |
| inferno | 9–3 | 0.13 | 7% | 8 Jul → | |
| cache | 13–3 | 0.13 | 9% | 8 Jul → | |
| overpass | 13–6 | 0.09 | 7% | 8 Jul → | |
| nuke | 10–13 | 0.02 | 12% | 7 Jul → | |
| cache | 13–7 | 0.12 | 7% | 7 Jul → | |
| cache | 0–2 | -0.11 | 0% | 7 Jul → | |
| train | 10–13 | 0.02 | 11% | 7 Jul → | |
| anubis | 7–13 | 0.03 | 11% | 6 Jul → | |
| nuke | 12–12 | 0.01 | 4% | 6 Jul → | |
| ancient | 13–7 | 0.03 | 5% | 5 Jul → | |
| dust2 | 13–10 | 0.04 | 14% | 5 Jul → | |
| mirage | 13–4 | 0.01 | 13% | 5 Jul → | |
| train | 9–13 | 0.01 | 9% | 5 Jul → | |
| mirage | 7–5 | 0.09 | 22% | 4 Jul → | |
| mirage | 13–2 | 0.06 | 12% | 4 Jul → | |
| inferno | 13–9 | 0.06 | 15% | 4 Jul → | |
| ancient | 13–11 | 0.04 | 13% | 4 Jul → | |
| dust2 | 10–13 | -0.01 | 15% | 4 Jul → | |
| dust2 | 13–3 | 0.11 | 7% | 4 Jul → | |
| inferno | 8–13 | 0.02 | 10% | 4 Jul → | |
| overpass | 8–13 | 0.01 | 8% | 2 Jul → | |
| cache | 12–12 | -0.01 | 5% | 1 Jul → | |
| dust2 | 13–5 | 0.08 | 15% | 1 Jul → | |
| vertigo | 13–6 | 0.05 | 11% | 30 Jun → | |
| cache | 10–13 | 0.03 | 12% | 29 Jun → | |
| nuke | 13–3 | -0.05 | 3% | 29 Jun → | |
| dust2 | 10–13 | -0.01 | 18% | 29 Jun → | |
| vertigo | 13–8 | 0.02 | 3% | 28 Jun → | |
| vertigo | 11–13 | -0.01 | 16% | 27 Jun → | |
| inferno | 13–11 | 0.05 | 13% | 26 Jun → | |
| vertigo | 13–6 | 0.08 | 12% | 24 Jun → | |
| office | 11–13 | -0.01 | 14% | 24 Jun → | |
| vertigo | 13–9 | 0.06 | 13% | 24 Jun → | |
| inferno | 2–13 | 0.01 | 8% | 24 Jun → | |
| vertigo | 13–9 | -0.04 | 12% | 17 Jun → | |
| anubis | 4–7 | -0.03 | 19% | 16 Jun → | |
| cache | 13–7 | 0.04 | 23% | 15 Jun → | |
| train | 13–9 | 0.03 | 14% | 13 Jun → | |
| train | 6–13 | 0.15 | 0% | 13 Jun → | |
| dust2 | 2–13 | -0.08 | 15% | 10 Jun → | |
| ancient | 13–7 | 0.02 | 6% | 10 Jun → | |
| nuke | 11–13 | 0.05 | 8% | 10 Jun → | |
| dust2 | 13–4 | 0.08 | 19% | 9 Jun → | |
| vertigo | 13–7 | 0.05 | 13% | 8 Jun → | |
| mirage | 10–13 | -0.05 | 14% | 8 Jun → | |
| anubis | 7–13 | 0.07 | 11% | 7 Jun → | |
| vertigo | 13–9 | -0.03 | 16% | 3 Jun → | |
| vertigo | 6–13 | -0.04 | 19% | 3 Jun → | |
| vertigo | 8–13 | -0.01 | 19% | 3 Jun → | |
| train | 3–13 | -0.11 | 18% | 3 Jun → | |
| dust2 | 13–4 | 0.00 | 15% | 28 May → | |
| dust2 | 12–12 | -0.01 | 6% | 27 May → | |
| nuke | 11–13 | -0.02 | 13% | 26 May → | |
| cache | 3–13 | -0.11 | 20% | 26 May → | |
| ancient | 5–13 | 0.05 | 16% | 26 May → | |
| mirage | 1–13 | -0.08 | 36% | 26 May → | |
| inferno | 10–13 | -0.03 | 2% | 26 May → | |
| dust2 | 4–13 | 0.02 | 7% | 26 May → | |
| mirage | 13–11 | -0.05 | 9% | 21 May → | |
| dust2 | 13–9 | 0.07 | 21% | 17 May → | |
| inferno | 13–2 | 0.11 | 13% | 16 May → | |
| dust2 | 13–9 | -0.03 | 12% | 16 May → | |
| nuke | 13–1 | 0.07 | 25% | 15 May → | |
| office | 13–2 | 0.05 | 40% | 13 May → | |
| mirage | 3–9 | 0.07 | 12% | 13 May → | |
| inferno | 13–8 | 0.10 | 13% | 12 May → | |
| dust2 | 13–3 | 0.13 | 17% | 9 May → | |
| dust2 | 13–6 | -0.02 | 21% | 9 May → | |
| vertigo | 12–12 | -0.05 | 4% | 1 May → | |
| dust2 | 8–13 | -0.09 | 36% | 30 Apr → |
Match data via Leetify.
