Insiite — CS2 Stats
GB76561198453705522[U:1:493439794]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 51.5% | 48.1% |
| Shot accuracy | 18.0% | 12.9% |
| Kill/death ratio | 2.00 | 1.08 |
| Match win rate | 45.1% | 46.5% |
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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 90% playstyle similarity
Most alike: utility contribution, 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
Reaction time. 616ms 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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | A | 23 | 14–9 | 61% | 0.03 |
 nuke | C | 22 | 9–13 | 41% | -0.02 |
 cache | B | 10 | 5–5 | 50% | 0.05 |
 dust2 | S | 10 | 8–2 | 80% | 0.02 |
 anubis | C | 8 | 3–5 | 38% | 0.01 |
 inferno | C | 8 | 3–5 | 38% | 0.04 |
 ancient | S | 7 | 5–2 | 71% | 0.03 |
 train | S | 5 | 4–1 | 80% | 0.05 |
| office | — | 4 | 1–3 | 25% | 0.07 |
 vertigo | — | 2 | 1–1 | 50% | -0.02 |
| italy | — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis 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 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 39.8167% — 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.
38% 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 | 11–13 | 0.04 | 27% | 28 Aug → | |
| cache | 6–13 | 0.00 | 18% | 28 Aug → | |
| nuke | 13–6 | -0.04 | 13% | 22 Aug → | |
| ancient | 13–6 | -0.04 | 22% | 22 Aug → | |
| cache | 13–4 | 0.01 | 14% | 20 Aug → | |
| italy | 13–5 | -0.01 | 16% | 20 Aug → | |
| ancient | 13–5 | 0.07 | 16% | 20 Aug → | |
| dust2 | 4–0 | -0.08 | 0% | 19 Aug → | |
| ancient | 13–5 | 0.11 | 10% | 19 Aug → | |
| mirage | 10–13 | -0.06 | 15% | 18 Aug → | |
| nuke | 2–13 | -0.08 | 25% | 18 Aug → | |
| cache | 13–11 | 0.08 | 20% | 15 Aug → | |
| train | 13–5 | 0.07 | 28% | 15 Aug → | |
| train | 13–5 | 0.02 | 24% | 15 Aug → | |
| dust2 | 13–8 | -0.04 | 21% | 11 Aug → | |
| mirage | 5–0 | -0.06 | 0% | 11 Aug → | |
| ancient | 13–7 | -0.00 | 17% | 11 Aug → | |
| mirage | 3–6 | 0.08 | 30% | 9 Aug → | |
| nuke | 0–9 | -0.18 | 100% | 9 Aug → | |
| nuke | 1–9 | -0.14 | 15% | 9 Aug → | |
| nuke | 10–13 | 0.18 | 20% | 8 Aug → | |
| dust2 | 13–11 | -0.06 | 33% | 8 Aug → | |
| nuke | 8–13 | -0.05 | 24% | 8 Aug → | |
| mirage | 10–13 | -0.05 | 17% | 5 Aug → | |
| mirage | 13–7 | -0.00 | 18% | 5 Aug → | |
| nuke | 8–3 | 0.00 | 13% | 5 Aug → | |
| dust2 | 13–1 | 0.13 | 43% | 4 Aug → | |
| anubis | 10–13 | 0.03 | 11% | 4 Aug → | |
| inferno | 4–13 | -0.01 | 24% | 4 Aug → | |
| inferno | 13–5 | 0.09 | 20% | 4 Aug → | |
| dust2 | 10–13 | -0.05 | 23% | 4 Aug → | |
| mirage | 6–13 | 0.03 | 9% | 4 Aug → | |
| mirage | 13–8 | 0.04 | 16% | 4 Aug → | |
| cache | 13–1 | 0.07 | 23% | 4 Aug → | |
| mirage | 13–11 | 0.07 | 19% | 31 Jul → | |
| mirage | 15–15 | 0.02 | 15% | 30 Jul → | |
| nuke | 6–13 | -0.04 | 20% | 30 Jul → | |
| cache | 10–13 | -0.00 | 18% | 30 Jul → | |
| anubis | 13–7 | 0.02 | 15% | 30 Jul → | |
| mirage | 13–8 | -0.02 | 27% | 30 Jul → | |
| vertigo | 6–13 | -0.10 | 18% | 29 Jul → | |
| vertigo | 13–3 | 0.06 | 35% | 29 Jul → | |
| anubis | 6–13 | -0.05 | 12% | 28 Jul → | |
| anubis | 7–13 | 0.00 | 15% | 28 Jul → | |
| anubis | 8–13 | 0.01 | 25% | 26 Jul → | |
| cache | 13–7 | 0.10 | 28% | 26 Jul → | |
| nuke | 7–13 | 0.01 | 19% | 25 Jul → | |
| nuke | 13–10 | 0.01 | 20% | 25 Jul → | |
| mirage | 13–9 | 0.03 | 14% | 22 Jul → | |
| ancient | 2–13 | -0.09 | 7% | 22 Jul → | |
| inferno | 8–13 | -0.02 | 30% | 22 Jul → | |
| dust2 | 13–7 | 0.01 | 13% | 18 Jul → | |
| mirage | 12–12 | 0.01 | 18% | 17 Jul → | |
| anubis | 12–12 | 0.04 | 22% | 15 Jul → | |
| inferno | 9–13 | 0.04 | 27% | 15 Jul → | |
| mirage | 0–6 | -0.02 | 29% | 9 Jul → | |
| office | 9–13 | 0.05 | 28% | 9 Jul → | |
| mirage | 13–5 | 0.09 | 27% | 8 Jul → | |
| office | 12–12 | 0.07 | 29% | 8 Jul → | |
| office | 13–1 | 0.11 | 50% | 8 Jul → | |
| cache | 13–6 | 0.12 | 29% | 7 Jul → | |
| cache | 10–13 | 0.02 | 22% | 7 Jul → | |
| cache | 6–13 | 0.05 | 13% | 2 Jul → | |
| anubis | 13–6 | 0.02 | 10% | 30 Jun → | |
| dust2 | 13–7 | 0.03 | 14% | 30 Jun → | |
| anubis | 13–1 | 0.04 | 11% | 30 Jun → | |
| nuke | 11–13 | 0.03 | 13% | 29 Jun → | |
| mirage | 13–4 | -0.01 | 22% | 28 Jun → | |
| dust2 | 12–12 | 0.15 | 18% | 28 Jun → | |
| nuke | 13–5 | 0.11 | 32% | 28 Jun → | |
| office | 6–13 | 0.05 | 20% | 27 Jun → | |
| mirage | 7–2 | 0.11 | 42% | 27 Jun → | |
| inferno | 2–9 | -0.05 | 15% | 27 Jun → | |
| nuke | 8–8 | 0.01 | 8% | 27 Jun → | |
| inferno | 13–9 | 0.03 | 31% | 25 Jun → | |
| mirage | 13–10 | -0.03 | 11% | 24 Jun → | |
| train | 13–6 | 0.02 | 29% | 23 Jun → | |
| nuke | 9–6 | 0.07 | 17% | 21 Jun → | |
| mirage | 13–3 | 0.04 | 18% | 21 Jun → | |
| ancient | 12–12 | 0.10 | 20% | 21 Jun → | |
| train | 12–12 | 0.13 | 23% | 19 Jun → | |
| train | 13–7 | 0.02 | 14% | 17 Jun → | |
| mirage | 13–3 | 0.24 | 25% | 16 Jun → | |
| mirage | 13–3 | 0.05 | 20% | 16 Jun → | |
| nuke | 13–10 | -0.01 | 17% | 15 Jun → | |
| dust2 | 13–11 | 0.02 | 22% | 15 Jun → | |
| dust2 | 13–2 | 0.09 | 12% | 14 Jun → | |
| mirage | 14–16 | 0.06 | 20% | 9 Jun → | |
| mirage | 3–13 | 0.01 | 26% | 9 Jun → | |
| inferno | 13–4 | 0.20 | 14% | 9 Jun → | |
| nuke | 13–9 | -0.02 | 15% | 8 Jun → | |
| nuke | 13–11 | 0.01 | 14% | 8 Jun → | |
| nuke | 5–9 | -0.04 | 11% | 7 Jun → | |
| ancient | 13–9 | 0.04 | 29% | 5 Jun → | |
| inferno | 6–13 | 0.01 | 23% | 4 Jun → | |
| nuke | 7–13 | -0.05 | 24% | 26 May → | |
| mirage | 13–7 | -0.02 | 10% | 21 May → | |
| nuke | 9–13 | 0.05 | 13% | 21 May → | |
| nuke | 9–6 | 0.02 | 15% | 16 May → | |
| nuke | 1–9 | -0.23 | 33% | 15 May → |
Match data via Leetify.