InVicTa — CS2 Stats
DE76561198210695533[U:1:250429805]Steam profile ↗
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 39.9% | 41.7% | 44.1% | 4.2% short |
| Shot accuracy | 13.5% | 8.8% | 11.4% | above |
| Kill/death ratio | 0.90 | 0.97 | 1.03 | 0.13 short |
| Match win rate | 43.5% | 43.8% | 45.2% | 1.7% short |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Purple 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: +10pp win rate · -0.04 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 ropz 90% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower aim profile; higher opening-fight frequency.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 627ms 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 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| italy | B | 20 | 10–10 | 50% | -0.03 |
 inferno | C | 16 | 7–9 | 44% | -0.01 |
 ancient | S | 14 | 10–4 | 71% | 0.01 |
 mirage | D | 7 | 1–6 | 14% | 0.01 |
 nuke | D | 7 | 1–6 | 14% | -0.01 |
 overpass | S | 7 | 6–1 | 86% | 0.03 |
 cache | D | 6 | 2–4 | 33% | 0.00 |
 dust2 | C | 5 | 2–3 | 40% | -0.00 |
| golden | C | 5 | 2–3 | 40% | -0.04 |
 anubis | — | 3 | 1–2 | 33% | 0.00 |
| grail | — | 3 | 2–1 | 67% | 0.01 |
| palacio | — | 2 | 1–1 | 50% | -0.02 |
| office | — | 2 | 0–2 | 0% | -0.05 |
 train | — | 2 | 1–1 | 50% | -0.01 |
 vertigo | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (14% over 7). 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 5 | 40% | 1.62 | 21.6 |
| Ancient | 4 | 75% | 1.11 | 22.8 |
| Mirage | 2 | 50% | 0.90 | 15.0 |
| Dust2 | 2 | 50% | 0.94 | 23.0 |
| Overpass | 1 | 100% | 1.53 | 23.0 |
| Vertigo | 1 | 0% | 0.46 | 11.0 |
| Anubis | 1 | 0% | 0.73 | 19.0 |
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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–3 | 0.16 | 16% | 20 Aug → | |
| ancient | 13–9 | -0.04 | 20% | 19 Aug → | |
| italy | 5–13 | -0.01 | 13% | 3 Aug → | |
| italy | 7–13 | -0.06 | 27% | 28 Jul → | |
| italy | 13–9 | 0.00 | 16% | 28 Jul → | |
| italy | 13–6 | -0.02 | 22% | 27 Jul → | |
| ancient | 11–13 | 0.04 | 14% | 26 Jul → | |
| cache | 5–13 | -0.05 | 28% | 23 Jul → | |
| italy | 12–12 | -0.03 | 11% | 20 Jul → | |
| inferno | 13–11 | -0.07 | 20% | 14 Jul → | |
| cache | 10–13 | 0.02 | 18% | 14 Jul → | |
| dust2 | 9–13 | 0.07 | 30% | 14 Jul → | |
| nuke | 3–13 | -0.01 | 16% | 13 Jul → | |
| ancient | 13–6 | 0.07 | 26% | 13 Jul → | |
| inferno | 6–13 | -0.00 | 28% | 13 Jul → | |
| anubis | 13–9 | 0.02 | 32% | 13 Jul → | |
| ancient | 13–5 | 0.11 | 26% | 13 Jul → | |
| cache | 12–16 | 0.02 | 17% | 12 Jul → | |
| inferno | 13–4 | 0.02 | 25% | 12 Jul → | |
| inferno | 15–15 | 0.03 | 20% | 12 Jul → | |
| cache | 13–9 | 0.02 | 23% | 11 Jul → | |
| anubis | 10–13 | 0.04 | 18% | 11 Jul → | |
| ancient | 13–9 | 0.03 | 26% | 11 Jul → | |
| nuke | 13–16 | -0.01 | 18% | 10 Jul → | |
| cache | 13–10 | -0.02 | 14% | 10 Jul → | |
| mirage | 7–13 | -0.04 | 24% | 10 Jul → | |
| inferno | 13–9 | -0.01 | 26% | 9 Jul → | |
| mirage | 8–13 | 0.03 | 33% | 9 Jul → | |
| ancient | 13–6 | 0.05 | 29% | 9 Jul → | |
| cache | 10–13 | 0.03 | 15% | 9 Jul → | |
| inferno | 13–1 | 0.04 | 17% | 9 Jul → | |
| ancient | 3–13 | -0.07 | 43% | 3 Jul → | |
| italy | 4–4 | -0.03 | 33% | 28 Jun → | |
| italy | 12–5 | -0.05 | 17% | 28 Jun → | |
| inferno | 6–13 | -0.05 | 24% | 24 Jun → | |
| italy | 13–2 | 0.04 | 20% | 1 Mar → | |
| inferno | 9–13 | 0.00 | 27% | 29 Jan → | |
| anubis | 2–13 | -0.05 | 11% | 28 Jan → | |
| overpass | 13–11 | 0.00 | 21% | 20 Jan → | |
| nuke | 2–13 | -0.05 | 33% | 9 Jan → | |
| ancient | 13–11 | 0.06 | 29% | 9 Jan → | |
| mirage | 8–13 | -0.01 | 15% | 8 Jan → | |
| ancient | 3–13 | -0.04 | 7% | 8 Jan → | |
| overpass | 13–10 | 0.07 | 25% | 8 Jan → | |
| vertigo | 9–13 | -0.05 | 13% | 8 Jan → | |
| ancient | 15–15 | 0.05 | 18% | 7 Jan → | |
| mirage | 11–13 | 0.02 | 29% | 7 Jan → | |
| dust2 | 13–6 | 0.01 | 11% | 7 Jan → | |
| inferno | 11–13 | 0.09 | 25% | 4 Jan → | |
| inferno | 10–13 | -0.03 | 9% | 24 Oct → | |
| palacio | 13–11 | 0.02 | 17% | 22 Oct → | |
| office | 9–13 | -0.02 | 17% | 22 Oct → | |
| italy | 6–13 | -0.05 | 13% | 20 Oct → | |
| italy | 8–13 | -0.10 | 25% | 20 Oct → | |
| golden | 2–13 | -0.08 | 11% | 20 Oct → | |
| inferno | 16–12 | -0.02 | 13% | 20 Oct → | |
| golden | 13–0 | 0.05 | 18% | 16 Oct → | |
| inferno | 13–8 | -0.09 | 23% | 14 Oct → | |
| overpass | 13–5 | 0.03 | 21% | 14 Oct → | |
| palacio | 10–13 | -0.06 | 13% | 5 Oct → | |
| golden | 3–13 | -0.03 | 3% | 5 Oct → | |
| ancient | 13–10 | -0.02 | 15% | 5 Oct → | |
| golden | 13–4 | -0.10 | 8% | 3 Oct → | |
| golden | 3–13 | -0.05 | 15% | 3 Oct → | |
| italy | 10–13 | -0.07 | 8% | 29 Sept → | |
| overpass | 13–9 | -0.01 | 20% | 29 Sept → | |
| overpass | 10–13 | -0.03 | 14% | 29 Sept → | |
| italy | 7–13 | -0.05 | 18% | 28 Sept → | |
| italy | 13–5 | -0.02 | 9% | 28 Sept → | |
| mirage | 8–13 | -0.02 | 5% | 22 Sept → | |
| nuke | 13–9 | 0.04 | 15% | 22 Sept → | |
| train | 13–5 | 0.00 | 7% | 21 Sept → | |
| mirage | 4–13 | -0.08 | 19% | 21 Sept → | |
| office | 9–13 | -0.08 | 0% | 21 Sept → | |
| italy | 10–13 | -0.03 | 12% | 21 Sept → | |
| overpass | 9–7 | 0.15 | 20% | 17 Sept → | |
| nuke | 7–9 | 0.04 | 10% | 17 Sept → | |
| italy | 13–3 | 0.01 | 10% | 16 Sept → | |
| grail | 13–8 | -0.00 | 12% | 16 Sept → | |
| italy | 13–4 | 0.07 | 19% | 16 Sept → | |
| dust2 | 9–13 | -0.05 | 14% | 15 Sept → | |
| overpass | 13–3 | 0.03 | 11% | 15 Sept → | |
| dust2 | 13–9 | 0.01 | 24% | 15 Sept → | |
| italy | 13–11 | -0.04 | 17% | 14 Sept → | |
| italy | 13–11 | -0.06 | 12% | 14 Sept → | |
| ancient | 13–7 | -0.01 | 18% | 9 Sept → | |
| inferno | 13–1 | 0.04 | 19% | 9 Sept → | |
| inferno | 11–13 | 0.00 | 16% | 9 Sept → | |
| grail | 5–13 | 0.01 | 18% | 2 Sept → | |
| grail | 13–4 | 0.02 | 15% | 2 Sept → | |
| italy | 8–13 | -0.01 | 13% | 2 Sept → | |
| nuke | 4–13 | -0.08 | 13% | 27 Aug → | |
| ancient | 16–12 | -0.01 | 10% | 27 Aug → | |
| inferno | 2–13 | -0.04 | 17% | 27 Aug → | |
| dust2 | 9–13 | -0.05 | 27% | 24 Aug → | |
| inferno | 6–13 | -0.04 | 19% | 24 Aug → | |
| ancient | 13–8 | -0.04 | 15% | 24 Aug → | |
| train | 5–13 | -0.01 | 0% | 24 Aug → | |
| italy | 6–13 | 0.00 | 15% | 19 Aug → | |
| nuke | 8–13 | 0.01 | 13% | 18 Aug → |
Match data via Leetify.