julciatinderuwcia — CS2 Stats
PL76561198175074858[U:1:214809130]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Red band among CSDB-tracked players (n=1,873), 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 | Red band median |
|---|---|---|
| Headshot rate | 47.3% | 49.9% |
| Shot accuracy | 18.2% | 13.4% |
| Kill/death ratio | 0.84 | 1.12 |
| Match win rate | 45.3% | 48.4% |
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: -50pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited utility dependence
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 NiKo 88% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
T-side openings. Opening success drops from 46% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 604ms 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 6.1/10 (Solid), 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 |
|---|---|---|---|---|---|
 nuke | A | 22 | 13–9 | 59% | 0.01 |
 mirage | A | 16 | 10–6 | 63% | 0.02 |
 ancient | B | 13 | 6–7 | 46% | 0.03 |
 anubis | A | 11 | 6–5 | 55% | 0.00 |
 vertigo | B | 10 | 5–5 | 50% | 0.05 |
 inferno | D | 9 | 3–6 | 33% | 0.01 |
 dust2 | A | 5 | 3–2 | 60% | 0.03 |
 train | — | 4 | 3–1 | 75% | 0.05 |
 overpass | — | 2 | 1–1 | 50% | 0.04 |
| palais | — | 2 | 0–2 | 0% | -0.02 |
 cache | — | 1 | 1–0 | 100% | 0.06 |
| eldorado | — | 1 | 1–0 | 100% | -0.03 |
| warden | — | 1 | 0–1 | 0% | -0.04 |
| alpine | — | 1 | 1–0 | 100% | 0.01 |
| agency | — | 1 | 1–0 | 100% | 0.03 |
| rooftop | — | 1 | 0–1 | 0% | -0.15 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 269 | 50% | 1.11 | 16.6 |
| Ancient | 244 | 55% | 1.17 | 17.3 |
| Nuke | 177 | 57% | 1.21 | 17.4 |
| Anubis | 157 | 46% | 1.09 | 16.7 |
| Vertigo | 90 | 52% | 1.24 | 17.7 |
| Dust2 | 75 | 48% | 0.98 | 14.8 |
| Inferno | 70 | 44% | 1.08 | 16.0 |
| Overpass | 32 | 59% | 1.23 | 17.2 |
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.
- 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 26.5386% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 11–13 | 0.02 | 17% | 12 Aug → | |
| vertigo | 11–13 | 0.00 | 22% | 12 Aug → | |
| cache | 13–10 | 0.06 | 15% | 12 Aug → | |
| eldorado | 9–6 | -0.03 | 33% | 29 Jul → | |
| anubis | 8–13 | -0.05 | 26% | 24 Jul → | |
| dust2 | 12–16 | -0.04 | 14% | 18 Jul → | |
| ancient | 10–13 | -0.00 | 19% | 17 Apr → | |
| ancient | 13–6 | 0.03 | 13% | 16 Apr → | |
| mirage | 11–13 | -0.00 | 26% | 29 Mar → | |
| anubis | 8–13 | 0.02 | 13% | 29 Mar → | |
| anubis | 13–9 | -0.00 | 13% | 25 Mar → | |
| nuke | 13–6 | -0.02 | 18% | 24 Mar → | |
| vertigo | 10–13 | 0.09 | 31% | 20 Mar → | |
| nuke | 13–2 | 0.07 | 28% | 20 Mar → | |
| nuke | 16–13 | 0.06 | 25% | 19 Mar → | |
| ancient | 19–16 | -0.06 | 15% | 17 Mar → | |
| warden | 10–13 | -0.04 | 23% | 12 Mar → | |
| alpine | 13–3 | 0.01 | 40% | 12 Mar → | |
| vertigo | 13–11 | -0.06 | 23% | 11 Mar → | |
| ancient | 13–8 | 0.03 | 26% | 11 Mar → | |
| mirage | 11–13 | -0.01 | 11% | 23 Feb → | |
| dust2 | 13–10 | 0.05 | 24% | 23 Feb → | |
| nuke | 13–8 | 0.02 | 19% | 20 Feb → | |
| nuke | 13–11 | -0.01 | 13% | 18 Feb → | |
| inferno | 16–14 | -0.08 | 7% | 17 Feb → | |
| nuke | 3–13 | -0.02 | 17% | 8 Feb → | |
| inferno | 4–13 | -0.03 | 18% | 8 Feb → | |
| mirage | 13–10 | 0.06 | 25% | 6 Feb → | |
| nuke | 13–3 | 0.08 | 36% | 6 Feb → | |
| ancient | 13–6 | 0.06 | 22% | 6 Feb → | |
| anubis | 13–6 | -0.01 | 14% | 6 Feb → | |
| nuke | 13–7 | 0.08 | 27% | 4 Feb → | |
| mirage | 13–9 | 0.04 | 11% | 4 Feb → | |
| inferno | 13–9 | 0.03 | 18% | 1 Feb → | |
| anubis | 13–4 | 0.03 | 27% | 1 Feb → | |
| nuke | 13–9 | -0.03 | 26% | 31 Jan → | |
| dust2 | 13–1 | 0.08 | 19% | 31 Jan → | |
| mirage | 13–6 | 0.07 | 26% | 30 Jan → | |
| anubis | 6–13 | -0.01 | 18% | 30 Jan → | |
| ancient | 7–13 | 0.05 | 16% | 18 Jan → | |
| nuke | 13–6 | -0.00 | 18% | 16 Jan → | |
| nuke | 13–11 | 0.10 | 28% | 5 Jan → | |
| inferno | 5–13 | -0.05 | 7% | 4 Jan → | |
| dust2 | 8–13 | -0.07 | 23% | 4 Jan → | |
| ancient | 7–13 | -0.02 | 14% | 1 Jan → | |
| overpass | 9–13 | 0.01 | 5% | 31 Dec → | |
| mirage | 13–8 | 0.01 | 17% | 29 Dec → | |
| overpass | 13–10 | 0.07 | 19% | 28 Dec → | |
| mirage | 16–12 | 0.08 | 28% | 26 Dec → | |
| inferno | 5–13 | 0.06 | 39% | 26 Dec → | |
| nuke | 13–10 | -0.02 | 20% | 26 Dec → | |
| nuke | 13–11 | 0.08 | 32% | 21 Dec → | |
| ancient | 16–19 | -0.00 | 21% | 21 Dec → | |
| ancient | 7–13 | 0.03 | 23% | 16 Dec → | |
| inferno | 11–13 | -0.01 | 20% | 14 Dec → | |
| mirage | 0–13 | -0.11 | 40% | 12 Dec → | |
| agency | 13–6 | 0.03 | 57% | 10 Dec → | |
| mirage | 13–8 | 0.07 | 21% | 10 Dec → | |
| inferno | 11–13 | 0.01 | 24% | 7 Dec → | |
| train | 3–13 | -0.11 | 20% | 7 Dec → | |
| mirage | 13–6 | -0.07 | 17% | 7 Dec → | |
| vertigo | 12–12 | 0.06 | 27% | 6 Dec → | |
| vertigo | 13–7 | 0.05 | 28% | 22 Nov → | |
| vertigo | 13–4 | 0.11 | 26% | 22 Nov → | |
| vertigo | 13–1 | 0.16 | 35% | 22 Nov → | |
| nuke | 7–13 | 0.05 | 14% | 22 Nov → | |
| ancient | 13–6 | 0.00 | 12% | 20 Nov → | |
| rooftop | 6–9 | -0.15 | 23% | 19 Nov → | |
| vertigo | 4–9 | 0.04 | 33% | 19 Nov → | |
| dust2 | 13–3 | 0.11 | 20% | 11 Nov → | |
| mirage | 13–11 | 0.02 | 19% | 8 Nov → | |
| nuke | 3–13 | 0.01 | 38% | 7 Nov → | |
| train | 13–9 | 0.02 | 19% | 2 Nov → | |
| mirage | 3–13 | -0.05 | 11% | 25 Oct → | |
| ancient | 5–13 | -0.01 | 34% | 4 Jun → | |
| inferno | 13–3 | 0.05 | 13% | 1 Jun → | |
| nuke | 10–13 | -0.07 | 16% | 30 May → | |
| mirage | 8–13 | 0.03 | 25% | 30 May → | |
| nuke | 9–13 | -0.03 | 24% | 25 Mar → | |
| nuke | 9–13 | 0.05 | 16% | 23 Mar → | |
| anubis | 8–13 | 0.02 | 24% | 20 Mar → | |
| nuke | 4–13 | -0.07 | 41% | 18 Mar → | |
| nuke | 13–4 | -0.00 | 11% | 2 Mar → | |
| anubis | 13–10 | -0.00 | 18% | 2 Mar → | |
| nuke | 8–8 | -0.13 | 6% | 18 Jan → | |
| palais | 7–9 | 0.02 | 30% | 7 Jan → | |
| palais | 3–9 | -0.06 | 47% | 30 Dec → | |
| anubis | 13–10 | 0.02 | 12% | 20 Dec → | |
| vertigo | 8–8 | 0.03 | 21% | 17 Dec → | |
| train | 12–2 | 0.17 | 39% | 15 Dec → | |
| nuke | 10–13 | 0.07 | 30% | 10 Dec → | |
| mirage | 5–13 | -0.06 | 11% | 2 Dec → | |
| train | 13–3 | 0.11 | 39% | 18 Nov → | |
| vertigo | 6–5 | -0.04 | 27% | 11 Nov → | |
| ancient | 13–2 | 0.23 | 26% | 10 Nov → | |
| mirage | 13–2 | 0.14 | 38% | 10 Nov → | |
| inferno | 7–13 | 0.06 | 25% | 3 Nov → | |
| anubis | 13–11 | 0.03 | 33% | 14 Oct → | |
| mirage | 13–2 | 0.05 | 20% | 5 Oct → | |
| anubis | 16–19 | -0.00 | 13% | 5 Oct → |
Match data via Leetify.
