JvXt — CS2 Stats
76561198333121428[U:1:372855700]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 36.0% | 52.8% |
| Shot accuracy | 14.6% | 13.7% |
| Kill/death ratio | 1.02 | 1.08 |
| Match win rate | 52.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 93% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning 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
Strengths
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.
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 6.6/10 (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 |
|---|---|---|---|---|---|
| C | 35 | 15–20 | 43% | 0.02 | |
| A | 27 | 15–12 | 56% | 0.01 | |
| A | 15 | 9–6 | 60% | -0.00 | |
| S | 11 | 9–2 | 82% | 0.03 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| S | 5 | 5–0 | 100% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (43% over 35). Start with the 6 essential Mirage 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 705 | 48% | 1.21 | 16.6 |
| Dust2 | 377 | 53% | 1.23 | 16.3 |
| Ancient | 328 | 51% | 1.13 | 15.2 |
| Inferno | 216 | 56% | 1.26 | 16.6 |
| Anubis | 159 | 42% | 1.07 | 15.3 |
| Overpass | 71 | 55% | 1.25 | 16.4 |
| Nuke | 62 | 47% | 1.10 | 15.7 |
| Vertigo | 14 | 57% | 1.04 | 15.7 |
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 14.7226% — 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 0.4956 — below the 0.5 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 38.3946% — 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.
43% win rate across 35 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.07 | 9% | 26 Aug → | ||
| 6–13 | 0.02 | 13% | 24 Aug → | ||
| 11–13 | 0.05 | 17% | 20 Aug → | ||
| 16–14 | -0.02 | 12% | 18 Aug → | ||
| 13–8 | 0.05 | 14% | 15 Aug → | ||
| 13–9 | 0.00 | 15% | 6 Aug → | ||
| 6–13 | -0.04 | 17% | 4 Aug → | ||
| 13–6 | 0.02 | 24% | 1 Aug → | ||
| 8–13 | -0.02 | 12% | 31 Jul → | ||
| 13–11 | 0.14 | 14% | 20 Jul → | ||
| 3–13 | 0.04 | 11% | 29 Jun → | ||
| 7–13 | 0.02 | 10% | 28 Jun → | ||
| 4–13 | -0.08 | 18% | 28 Jun → | ||
| 6–13 | -0.06 | 23% | 27 Jun → | ||
| 13–8 | 0.00 | 16% | 22 Jun → | ||
| 10–13 | -0.07 | 13% | 20 Jun → | ||
| 16–14 | 0.01 | 6% | 14 Jun → | ||
| 13–5 | -0.04 | 14% | 8 Jun → | ||
| 7–13 | -0.07 | 16% | 1 Jun → | ||
| 13–7 | -0.03 | 13% | 27 May → | ||
| 8–13 | -0.02 | 13% | 25 May → | ||
| 11–13 | -0.01 | 15% | 19 May → | ||
| 16–14 | -0.01 | 14% | 17 May → | ||
| 13–3 | 0.05 | 24% | 17 May → | ||
| 7–13 | -0.02 | 13% | 11 May → | ||
| 13–3 | -0.03 | 4% | 11 May → | ||
| 19–15 | 0.04 | 10% | 10 May → | ||
| 13–11 | 0.06 | 18% | 7 May → | ||
| 13–10 | 0.08 | 38% | 7 May → | ||
| 13–7 | 0.02 | 13% | 6 May → | ||
| 12–16 | -0.03 | 7% | 4 May → | ||
| 13–4 | -0.06 | 22% | 27 Apr → | ||
| 16–14 | 0.09 | 12% | 26 Apr → | ||
| 8–13 | 0.02 | 20% | 24 Apr → | ||
| 10–13 | -0.06 | 38% | 22 Apr → | ||
| 13–3 | 0.11 | 24% | 22 Apr → | ||
| 5–13 | -0.01 | 21% | 20 Apr → | ||
| 8–13 | 0.11 | 20% | 20 Apr → | ||
| 6–13 | -0.02 | 26% | 19 Apr → | ||
| 5–13 | -0.06 | 17% | 19 Apr → | ||
| 13–2 | 0.16 | 33% | 18 Apr → | ||
| 13–16 | 0.03 | 13% | 16 Apr → | ||
| 13–10 | 0.12 | 21% | 14 Apr → | ||
| 11–13 | -0.03 | 14% | 13 Apr → | ||
| 13–7 | 0.00 | 26% | 13 Apr → | ||
| 7–13 | 0.01 | 25% | 13 Apr → | ||
| 8–13 | -0.02 | 20% | 12 Apr → | ||
| 13–2 | 0.11 | 19% | 7 Apr → | ||
| 13–10 | 0.05 | 17% | 5 Apr → | ||
| 9–13 | -0.00 | 29% | 3 Apr → | ||
| 6–13 | -0.01 | 16% | 28 Mar → | ||
| 13–10 | 0.04 | 16% | 20 Mar → | ||
| 13–1 | 0.01 | 21% | 15 Mar → | ||
| 8–13 | -0.04 | 11% | 14 Mar → | ||
| 28–24 | 0.03 | 23% | 9 Mar → | ||
| 8–13 | -0.06 | 26% | 8 Mar → | ||
| 13–10 | 0.01 | 9% | 8 Mar → | ||
| 13–5 | 0.04 | 13% | 5 Mar → | ||
| 7–13 | -0.00 | 26% | 2 Mar → | ||
| 13–11 | 0.06 | 27% | 2 Mar → | ||
| 7–13 | 0.00 | 11% | 2 Mar → | ||
| 9–13 | -0.06 | 13% | 2 Mar → | ||
| 13–4 | 0.06 | 29% | 1 Mar → | ||
| 13–8 | -0.06 | 17% | 26 Feb → | ||
| 13–2 | 0.11 | 16% | 24 Feb → | ||
| 11–13 | -0.01 | 32% | 23 Feb → | ||
| 9–13 | 0.03 | 38% | 15 Feb → | ||
| 13–5 | 0.05 | 29% | 15 Feb → | ||
| 13–4 | -0.01 | 10% | 12 Feb → | ||
| 13–10 | 0.01 | 7% | 5 Feb → | ||
| 13–16 | 0.03 | 26% | 2 Feb → | ||
| 13–8 | -0.04 | 12% | 2 Feb → | ||
| 8–13 | 0.01 | 26% | 2 Feb → | ||
| 13–4 | 0.10 | 16% | 25 Jan → | ||
| 13–5 | 0.04 | 29% | 19 Jan → | ||
| 13–11 | 0.05 | 28% | 16 Jan → | ||
| 11–13 | -0.03 | 23% | 13 Jan → | ||
| 13–6 | 0.13 | 18% | 12 Jan → | ||
| 13–11 | 0.07 | 38% | 12 Jan → | ||
| 9–13 | -0.02 | 21% | 12 Jan → | ||
| 13–7 | 0.01 | 24% | 11 Jan → | ||
| 22–20 | 0.02 | 20% | 8 Jan → | ||
| 13–6 | 0.07 | 20% | 5 Jan → | ||
| 13–6 | 0.01 | 14% | 4 Jan → | ||
| 8–13 | -0.04 | 14% | 2 Jan → | ||
| 13–7 | 0.07 | 15% | 2 Jan → | ||
| 8–13 | -0.04 | 21% | 1 Jan → | ||
| 13–6 | 0.01 | 15% | 1 Jan → | ||
| 14–16 | 0.05 | 26% | 1 Jan → | ||
| 13–7 | -0.04 | 18% | 31 Dec → | ||
| 13–9 | 0.02 | 14% | 22 Dec → | ||
| 6–13 | 0.01 | 23% | 22 Dec → | ||
| 8–13 | -0.02 | 9% | 22 Dec → | ||
| 13–9 | -0.01 | 16% | 21 Dec → | ||
| 13–11 | 0.03 | 14% | 21 Dec → | ||
| 13–9 | 0.03 | 14% | 21 Dec → | ||
| 13–9 | 0.02 | 9% | 20 Dec → | ||
| 13–10 | 0.01 | 10% | 20 Dec → | ||
| 10–13 | 0.01 | 7% | 19 Dec → | ||
| 13–6 | 0.11 | 23% | 17 Dec → |
Match data via Leetify.