tricera — CS2 Stats
US76561199198530813[U:1:1238265085]Steam profile ↗
How this compares with the same rank
Median values for Grey band among CSDB-tracked players (n=369), 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 | Grey band median | Light Blue band median | vs Light Blue band |
|---|---|---|---|---|
| Headshot rate | 31.0% | 37.5% | 39.7% | 8.6% short |
| Shot accuracy | 0.1% | 4.5% | 6.7% | 6.6% short |
| Kill/death ratio | 0.80 | 0.82 | 0.91 | 0.11 short |
| Match win rate | 41.7% | 39.1% | 42.1% | meets |
This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 ropz 82% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Reaction time. 676ms 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 4.9/10 (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 |
|---|---|---|---|---|---|
 nuke | B | 17 | 9–8 | 53% | 0.03 |
 dust2 | C | 17 | 7–10 | 41% | 0.00 |
| office | A | 16 | 10–6 | 63% | 0.01 |
 inferno | A | 12 | 7–5 | 58% | -0.01 |
 mirage | A | 9 | 5–4 | 56% | -0.00 |
 anubis | D | 9 | 2–7 | 22% | -0.02 |
 train | A | 5 | 3–2 | 60% | -0.02 |
 cache | — | 4 | 2–2 | 50% | 0.03 |
 overpass | — | 3 | 2–1 | 67% | 0.06 |
 vertigo | — | 3 | 2–1 | 67% | -0.01 |
 ancient | — | 3 | 0–3 | 0% | -0.01 |
| italy | — | 1 | 1–0 | 100% | 0.03 |
| poseidon | — | 1 | 1–0 | 100% | -0.12 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (22% over 9). 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.
- 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 7.4618% — 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 0.4093 — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 12–12 | 0.05 | 3% | 30 Aug → | |
| office | 13–8 | 0.07 | 6% | 29 Aug → | |
| mirage | 10–13 | -0.04 | 7% | 29 Aug → | |
| train | 2–13 | -0.05 | 9% | 29 Aug → | |
| nuke | 13–10 | -0.04 | 7% | 28 Aug → | |
| italy | 13–4 | 0.03 | 11% | 28 Aug → | |
| office | 13–11 | 0.04 | 3% | 28 Aug → | |
| dust2 | 13–7 | 0.02 | 12% | 27 Aug → | |
| dust2 | 10–13 | -0.03 | 4% | 27 Aug → | |
| nuke | 3–13 | 0.16 | 12% | 25 Aug → | |
| inferno | 9–13 | -0.05 | 18% | 25 Aug → | |
| dust2 | 13–4 | 0.09 | 9% | 24 Aug → | |
| train | 5–3 | -0.03 | 0% | 23 Aug → | |
| office | 13–11 | 0.10 | 8% | 23 Aug → | |
| overpass | 13–4 | -0.00 | 6% | 22 Aug → | |
| vertigo | 13–2 | 0.05 | 10% | 18 Aug → | |
| anubis | 5–11 | -0.04 | 12% | 17 Aug → | |
| nuke | 5–9 | -0.09 | 0% | 17 Aug → | |
| inferno | 3–9 | -0.06 | 5% | 17 Aug → | |
| anubis | 5–13 | -0.12 | 9% | 16 Aug → | |
| ancient | 10–13 | -0.03 | 6% | 16 Aug → | |
| nuke | 13–3 | 0.12 | 2% | 15 Aug → | |
| train | 13–10 | -0.03 | 4% | 15 Aug → | |
| train | 13–10 | 0.06 | 7% | 15 Aug → | |
| overpass | 0–13 | -0.04 | 7% | 15 Aug → | |
| office | 13–3 | 0.01 | 7% | 15 Aug → | |
| nuke | 6–9 | 0.09 | 7% | 15 Aug → | |
| poseidon | 9–0 | -0.12 | 8% | 15 Aug → | |
| inferno | 5–9 | -0.08 | 3% | 15 Aug → | |
| cache | 13–1 | 0.12 | 8% | 15 Aug → | |
| nuke | 11–13 | -0.05 | 4% | 15 Aug → | |
| inferno | 8–0 | 0.11 | 14% | 15 Aug → | |
| office | 13–9 | -0.01 | 6% | 15 Aug → | |
| dust2 | 13–16 | 0.04 | 12% | 14 Aug → | |
| dust2 | 13–11 | 0.01 | 5% | 14 Aug → | |
| mirage | 2–13 | 0.02 | 4% | 14 Aug → | |
| anubis | 7–13 | 0.03 | 4% | 14 Aug → | |
| anubis | 7–12 | -0.03 | 3% | 14 Aug → | |
| mirage | 13–3 | 0.24 | 9% | 14 Aug → | |
| ancient | 10–13 | -0.01 | 7% | 14 Aug → | |
| dust2 | 13–6 | 0.03 | 9% | 14 Aug → | |
| dust2 | 9–13 | -0.03 | 9% | 14 Aug → | |
| nuke | 11–13 | 0.05 | 5% | 14 Aug → | |
| office | 13–6 | -0.02 | 0% | 13 Aug → | |
| nuke | 1–13 | 0.06 | 3% | 13 Aug → | |
| dust2 | 2–13 | -0.06 | 9% | 13 Aug → | |
| nuke | 13–2 | 0.18 | 6% | 13 Aug → | |
| ancient | 9–13 | 0.02 | 7% | 13 Aug → | |
| anubis | 10–13 | -0.04 | 4% | 13 Aug → | |
| overpass | 9–4 | 0.23 | 7% | 13 Aug → | |
| dust2 | 9–13 | -0.00 | 7% | 13 Aug → | |
| office | 13–11 | -0.01 | 7% | 13 Aug → | |
| train | 5–13 | -0.02 | 3% | 13 Aug → | |
| vertigo | 13–8 | -0.04 | 7% | 11 Aug → | |
| inferno | 13–10 | -0.03 | 12% | 11 Aug → | |
| anubis | 10–13 | 0.04 | 5% | 10 Aug → | |
| nuke | 4–13 | -0.08 | 13% | 10 Aug → | |
| mirage | 13–11 | -0.06 | 14% | 10 Aug → | |
| inferno | 2–9 | -0.11 | 0% | 10 Aug → | |
| mirage | 13–11 | 0.01 | 7% | 4 Aug → | |
| dust2 | 9–9 | 0.07 | 13% | 4 Aug → | |
| anubis | 0–11 | -0.05 | 0% | 2 Aug → | |
| nuke | 13–10 | 0.03 | 11% | 2 Aug → | |
| cache | 5–13 | -0.02 | 7% | 2 Aug → | |
| nuke | 13–5 | -0.02 | 11% | 29 Jul → | |
| mirage | 3–13 | -0.09 | 14% | 29 Jul → | |
| vertigo | 4–13 | -0.04 | 9% | 29 Jul → | |
| cache | 2–13 | -0.00 | 29% | 28 Jul → | |
| dust2 | 2–13 | -0.08 | 8% | 28 Jul → | |
| mirage | 13–8 | -0.08 | 5% | 28 Jul → | |
| nuke | 13–11 | -0.07 | 8% | 26 Jul → | |
| office | 1–13 | -0.11 | 8% | 26 Jul → | |
| anubis | 13–4 | 0.03 | 8% | 23 Jul → | |
| office | 8–13 | -0.05 | 16% | 22 Jul → | |
| office | 13–8 | 0.05 | 7% | 22 Jul → | |
| dust2 | 2–13 | -0.04 | 20% | 22 Jul → | |
| dust2 | 0–13 | -0.05 | 10% | 18 Jul → | |
| nuke | 13–10 | 0.04 | 12% | 18 Jul → | |
| inferno | 13–11 | -0.07 | 14% | 17 Jul → | |
| office | 6–13 | -0.04 | 6% | 17 Jul → | |
| nuke | 13–9 | 0.14 | 12% | 17 Jul → | |
| office | 13–7 | 0.03 | 11% | 16 Jul → | |
| office | 12–12 | 0.02 | 10% | 15 Jul → | |
| office | 2–13 | -0.05 | 8% | 15 Jul → | |
| mirage | 13–4 | 0.04 | 8% | 15 Jul → | |
| dust2 | 9–13 | 0.01 | 13% | 15 Jul → | |
| inferno | 13–8 | 0.01 | 10% | 15 Jul → | |
| cache | 13–7 | 0.03 | 10% | 14 Jul → | |
| nuke | 13–11 | 0.00 | 7% | 14 Jul → | |
| mirage | 1–13 | -0.07 | 3% | 13 Jul → | |
| anubis | 13–4 | 0.02 | 13% | 12 Jul → | |
| dust2 | 13–11 | 0.04 | 7% | 12 Jul → | |
| office | 12–12 | 0.02 | 6% | 12 Jul → | |
| inferno | 9–13 | 0.03 | 15% | 11 Jul → | |
| office | 13–7 | 0.04 | 12% | 10 Jul → | |
| dust2 | 13–5 | -0.02 | 11% | 10 Jul → | |
| dust2 | 13–11 | 0.04 | 8% | 10 Jul → | |
| inferno | 9–4 | -0.04 | 10% | 9 Jul → | |
| inferno | 9–2 | 0.12 | 2% | 9 Jul → | |
| inferno | 9–2 | 0.10 | 10% | 9 Jul → |
Match data via Leetify.
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