ter — CS2 Stats
76561197980080863[U:1:19815135]Steam profile ↗
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 59.2% | 46.2% | 47.2% | above |
| Shot accuracy | 18.7% | 12.5% | 12.3% | above |
| Kill/death ratio | 1.18 | 1.06 | 1.07 | above |
| Match win rate | 39.4% | 45.9% | 46.3% | 7.0% short |
This profile matches the typical Level 8 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 8 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: -10pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashesHigh utility contribution
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 jL 95% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: higher utility contribution.
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
Strengths
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Flashes. 0.94 enemies blinded per flash — utility that consistently lands.
Utility. Utility score of 83 — grenade impact well above the norm.
Areas to improve
Reaction time. 570ms 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 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 28 | 16–12 | 57% | 0.02 | |
| S | 27 | 19–8 | 70% | 0.04 | |
| D | 15 | 5–10 | 33% | -0.01 | |
| A | 13 | 8–5 | 62% | 0.03 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| S | 6 | 4–2 | 67% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.05 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Overpass 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 1 | 0% | 0.50 | 7.0 |
| Inferno | 1 | 0% | 1.00 | 14.0 |
| Overpass | 1 | 100% | 2.86 | 20.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.02 | 14% | 14 Jul → | ||
| 5–0 | 0.02 | 67% | 4 Jul → | ||
| 11–13 | -0.01 | 23% | 4 Jul → | ||
| 3–13 | 0.02 | 17% | 4 Jul → | ||
| 13–4 | 0.03 | 27% | 4 Jul → | ||
| 9–13 | -0.03 | 22% | 4 Jul → | ||
| 13–1 | 0.00 | 11% | 4 Jul → | ||
| 13–2 | 0.10 | 26% | 4 Jul → | ||
| 11–13 | -0.01 | 12% | 4 Jul → | ||
| 1–13 | -0.09 | 6% | 4 Jul → | ||
| 13–4 | -0.04 | 14% | 4 Jul → | ||
| 7–13 | -0.07 | 17% | 4 Jul → | ||
| 16–13 | 0.07 | 13% | 3 Jul → | ||
| 4–9 | 0.04 | 24% | 3 Jul → | ||
| 13–3 | 0.17 | 15% | 3 Jul → | ||
| 13–11 | 0.01 | 18% | 2 Jul → | ||
| 0–13 | -0.10 | 27% | 1 Jul → | ||
| 3–13 | -0.04 | 18% | 1 Jul → | ||
| 13–7 | 0.01 | 27% | 1 Jul → | ||
| 13–10 | 0.02 | 25% | 1 Jul → | ||
| 16–12 | 0.05 | 11% | 28 Jun → | ||
| 13–3 | 0.14 | 17% | 28 Jun → | ||
| 13–11 | -0.02 | 16% | 28 Jun → | ||
| 16–14 | 0.09 | 12% | 28 Jun → | ||
| 0–13 | -0.03 | 24% | 28 Jun → | ||
| 8–13 | -0.01 | 13% | 28 Jun → | ||
| 13–6 | 0.18 | 14% | 25 Jun → | ||
| 11–13 | -0.07 | 19% | 25 Jun → | ||
| 13–8 | 0.03 | 14% | 25 Jun → | ||
| 6–13 | 0.02 | 19% | 25 Jun → | ||
| 13–7 | 0.13 | 18% | 25 Jun → | ||
| 16–14 | 0.03 | 21% | 24 Jun → | ||
| 5–13 | -0.01 | 24% | 24 Jun → | ||
| 13–4 | 0.10 | 11% | 23 Jun → | ||
| 8–13 | 0.02 | 31% | 23 Jun → | ||
| 13–11 | 0.11 | 22% | 2 May → | ||
| 13–8 | 0.06 | 23% | 21 Mar → | ||
| 13–6 | -0.01 | 18% | 21 Mar → | ||
| 11–13 | 0.03 | 14% | 21 Mar → | ||
| 13–10 | 0.02 | 12% | 21 Mar → | ||
| 9–13 | -0.02 | 16% | 15 Jan → | ||
| 13–4 | 0.06 | 17% | 15 Jan → | ||
| 13–6 | 0.06 | 8% | 15 Jan → | ||
| 13–3 | 0.02 | 16% | 15 Jan → | ||
| 3–13 | 0.01 | 14% | 15 Jan → | ||
| 11–13 | -0.05 | 15% | 12 Jan → | ||
| 5–13 | -0.08 | 12% | 12 Jan → | ||
| 11–13 | 0.03 | 23% | 12 Jan → | ||
| 6–13 | -0.05 | 12% | 11 Jan → | ||
| 5–13 | -0.07 | 16% | 11 Jan → | ||
| 13–9 | -0.01 | 20% | 11 Jan → | ||
| 10–13 | 0.00 | 19% | 11 Jan → | ||
| 13–5 | 0.08 | 19% | 10 Jan → | ||
| 13–4 | -0.00 | 18% | 10 Jan → | ||
| 11–13 | 0.00 | 10% | 10 Jan → | ||
| 5–13 | -0.04 | 3% | 10 Jan → | ||
| 16–14 | -0.03 | 15% | 10 Jan → | ||
| 13–6 | 0.04 | 19% | 10 Jan → | ||
| 14–16 | 0.05 | 13% | 10 Jan → | ||
| 13–4 | 0.05 | 20% | 10 Jan → | ||
| 16–14 | 0.04 | 23% | 8 Jan → | ||
| 13–5 | 0.01 | 17% | 8 Jan → | ||
| 11–13 | -0.00 | 10% | 8 Jan → | ||
| 13–10 | -0.04 | 22% | 8 Jan → | ||
| 13–11 | 0.05 | 12% | 8 Jan → | ||
| 10–13 | -0.02 | 17% | 6 Jan → | ||
| 13–9 | 0.02 | 19% | 6 Jan → | ||
| 13–2 | 0.04 | 19% | 6 Jan → | ||
| 13–7 | 0.07 | 14% | 6 Jan → | ||
| 13–16 | -0.05 | 17% | 6 Jan → | ||
| 13–16 | 0.08 | 26% | 6 Jan → | ||
| 9–13 | -0.04 | 22% | 6 Jan → | ||
| 12–12 | 0.02 | 16% | 6 Jan → | ||
| 7–13 | -0.01 | 10% | 6 Jan → | ||
| 13–6 | 0.08 | 22% | 22 Dec → | ||
| 2–6 | 0.05 | 32% | 22 Dec → | ||
| 13–7 | 0.09 | 11% | 22 Dec → | ||
| 13–10 | -0.01 | 23% | 22 Dec → | ||
| 9–13 | -0.03 | 7% | 22 Dec → | ||
| 13–9 | 0.01 | 19% | 22 Dec → | ||
| 13–5 | 0.05 | 18% | 21 Dec → | ||
| 13–11 | -0.01 | 17% | 13 Dec → | ||
| 13–16 | 0.04 | 15% | 13 Dec → | ||
| 13–2 | -0.01 | 17% | 13 Dec → | ||
| 15–15 | 0.03 | 15% | 13 Dec → | ||
| 13–4 | 0.10 | 16% | 4 Dec → | ||
| 13–8 | 0.09 | 19% | 4 Dec → | ||
| 13–2 | 0.17 | 28% | 26 Oct → | ||
| 13–7 | 0.07 | 16% | 18 Oct → | ||
| 7–13 | -0.04 | 26% | 18 Oct → | ||
| 13–6 | 0.08 | 11% | 18 Oct → | ||
| 11–13 | -0.02 | 11% | 18 Oct → | ||
| 16–12 | 0.04 | 15% | 12 Jul → | ||
| 13–8 | 0.09 | 20% | 2 Jul → | ||
| 13–10 | 0.03 | 20% | 21 Jun → | ||
| 15–15 | -0.04 | 10% | 21 Jun → | ||
| 7–13 | -0.06 | 27% | 21 Jun → | ||
| 13–9 | -0.02 | 14% | 20 Jun → | ||
| 13–3 | 0.01 | 28% | 20 Jun → | ||
| 14–16 | 0.02 | 28% | 20 Jun → |
Match data via Leetify.