Givi — CS2 Stats
RU76561198070455888[U:1:110190160]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.02 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 NiKo 80% 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
Reaction time. 687ms 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 4.4/10 (Developing), 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 |
|---|---|---|---|---|---|
| office | B | 31 | 14–17 | 45% | -0.01 |
 dust2 | B | 24 | 13–11 | 54% | -0.02 |
 inferno | A | 24 | 14–10 | 58% | -0.01 |
 mirage | C | 9 | 4–5 | 44% | -0.05 |
 cache | D | 5 | 1–4 | 20% | -0.02 |
 anubis | — | 2 | 0–2 | 0% | -0.04 |
| alpine | — | 1 | 1–0 | 100% | 0.03 |
 ancient | — | 1 | 0–1 | 0% | -0.06 |
 train | — | 1 | 1–0 | 100% | -0.05 |
| warden | — | 1 | 1–0 | 100% | -0.02 |
 vertigo | — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 50% | 0.95 | 9.5 |
| Nuke | 1 | 100% | 0.80 | 8.0 |
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
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 11.2484% — 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 0.4894 — 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 38.1831% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 5–7 | -0.05 | 10% | 19 May → | |
| dust2 | 13–7 | -0.03 | 18% | 19 May → | |
| office | 9–13 | 0.03 | 14% | 19 May → | |
| office | 13–9 | 0.04 | 18% | 19 May → | |
| cache | 12–12 | 0.00 | 15% | 6 May → | |
| dust2 | 9–13 | -0.07 | 14% | 30 Apr → | |
| cache | 12–12 | -0.01 | 9% | 30 Apr → | |
| dust2 | 13–7 | 0.02 | 24% | 30 Apr → | |
| cache | 12–12 | -0.05 | 4% | 30 Apr → | |
| cache | 13–8 | 0.02 | 6% | 30 Apr → | |
| alpine | 13–4 | 0.03 | 21% | 26 Apr → | |
| ancient | 4–12 | -0.06 | 5% | 26 Apr → | |
| inferno | 13–5 | -0.08 | 13% | 26 Apr → | |
| office | 6–13 | -0.04 | 8% | 26 Apr → | |
| train | 13–6 | -0.05 | 5% | 26 Apr → | |
| office | 10–13 | -0.04 | 10% | 26 Apr → | |
| office | 10–13 | -0.03 | 7% | 26 Apr → | |
| mirage | 10–13 | -0.06 | 13% | 25 Apr → | |
| office | 13–7 | 0.06 | 11% | 25 Apr → | |
| dust2 | 12–12 | 0.02 | 13% | 25 Apr → | |
| office | 10–13 | -0.05 | 10% | 21 Apr → | |
| mirage | 2–13 | -0.08 | 0% | 17 Apr → | |
| office | 12–12 | -0.02 | 8% | 17 Apr → | |
| dust2 | 13–10 | -0.01 | 12% | 17 Apr → | |
| office | 10–13 | -0.02 | 11% | 17 Apr → | |
| dust2 | 13–8 | 0.01 | 16% | 17 Apr → | |
| office | 13–8 | -0.02 | 14% | 17 Apr → | |
| office | 13–6 | -0.03 | 5% | 17 Apr → | |
| mirage | 13–5 | 0.01 | 16% | 15 Apr → | |
| anubis | 4–13 | -0.07 | 4% | 12 Apr → | |
| dust2 | 13–3 | 0.01 | 15% | 12 Apr → | |
| mirage | 13–6 | -0.11 | 3% | 12 Apr → | |
| dust2 | 13–2 | -0.05 | 20% | 12 Apr → | |
| dust2 | 9–13 | -0.04 | 9% | 12 Apr → | |
| dust2 | 13–6 | -0.06 | 11% | 12 Apr → | |
| mirage | 13–1 | 0.01 | 6% | 12 Apr → | |
| inferno | 13–6 | -0.02 | 6% | 12 Apr → | |
| inferno | 10–13 | -0.07 | 2% | 12 Apr → | |
| inferno | 13–11 | -0.07 | 13% | 12 Apr → | |
| office | 8–13 | -0.03 | 9% | 12 Apr → | |
| office | 13–7 | -0.03 | 8% | 12 Apr → | |
| office | 12–12 | 0.01 | 12% | 12 Apr → | |
| dust2 | 13–3 | 0.03 | 15% | 12 Apr → | |
| dust2 | 13–5 | -0.03 | 7% | 11 Apr → | |
| mirage | 12–12 | -0.02 | 12% | 11 Apr → | |
| dust2 | 12–2 | 0.05 | 11% | 11 Apr → | |
| warden | 13–3 | -0.02 | 7% | 11 Apr → | |
| office | 13–9 | -0.03 | 8% | 11 Apr → | |
| office | 12–12 | -0.08 | 7% | 11 Apr → | |
| office | 13–3 | 0.02 | 11% | 11 Apr → | |
| office | 13–4 | -0.00 | 9% | 8 Apr → | |
| mirage | 2–13 | -0.04 | 11% | 3 Apr → | |
| office | 13–3 | 0.00 | 5% | 3 Apr → | |
| inferno | 5–13 | -0.03 | 11% | 3 Apr → | |
| dust2 | 13–9 | 0.01 | 10% | 3 Apr → | |
| office | 13–5 | 0.02 | 11% | 3 Apr → | |
| anubis | 6–9 | 0.00 | 9% | 3 Apr → | |
| office | 13–3 | 0.03 | 14% | 3 Apr → | |
| office | 12–12 | -0.01 | 8% | 3 Apr → | |
| dust2 | 10–13 | -0.06 | 6% | 3 Apr → | |
| dust2 | 4–13 | -0.09 | 6% | 1 Apr → | |
| dust2 | 10–13 | -0.02 | 10% | 1 Apr → | |
| inferno | 3–9 | -0.14 | 17% | 30 Mar → | |
| inferno | 9–13 | -0.04 | 6% | 30 Mar → | |
| dust2 | 12–12 | -0.03 | 12% | 30 Mar → | |
| office | 5–13 | 0.03 | 5% | 30 Mar → | |
| dust2 | 9–13 | -0.04 | 18% | 30 Mar → | |
| dust2 | 13–0 | 0.09 | 11% | 30 Mar → | |
| inferno | 5–9 | -0.01 | 11% | 30 Mar → | |
| inferno | 9–5 | 0.01 | 9% | 30 Mar → | |
| inferno | 9–2 | 0.17 | 9% | 30 Mar → | |
| office | 12–12 | -0.03 | 5% | 30 Mar → | |
| inferno | 10–13 | -0.10 | 6% | 30 Mar → | |
| dust2 | 12–12 | -0.02 | 12% | 30 Mar → | |
| inferno | 13–0 | -0.02 | 7% | 30 Mar → | |
| dust2 | 10–13 | -0.06 | 14% | 30 Mar → | |
| mirage | 6–2 | -0.06 | 0% | 30 Mar → | |
| dust2 | 8–13 | -0.04 | 15% | 29 Mar → | |
| mirage | 10–13 | -0.06 | 7% | 29 Mar → | |
| dust2 | 13–9 | -0.00 | 5% | 29 Mar → | |
| vertigo | 13–7 | -0.06 | 4% | 29 Mar → | |
| office | 0–4 | -0.07 | 0% | 29 Mar → | |
| office | 9–13 | -0.06 | 11% | 29 Mar → | |
| inferno | 9–0 | 0.10 | 4% | 29 Mar → | |
| office | 13–8 | -0.05 | 9% | 29 Mar → | |
| inferno | 1–9 | -0.20 | 16% | 29 Mar → | |
| inferno | 9–1 | 0.29 | 9% | 29 Mar → | |
| office | 13–1 | 0.07 | 19% | 29 Mar → | |
| inferno | 11–13 | -0.04 | 12% | 27 Mar → | |
| office | 2–8 | -0.09 | 10% | 27 Mar → | |
| office | 8–13 | -0.01 | 5% | 27 Mar → | |
| inferno | 13–6 | -0.02 | 4% | 25 Mar → | |
| office | 13–2 | 0.06 | 2% | 25 Mar → | |
| inferno | 7–9 | -0.15 | 11% | 25 Mar → | |
| inferno | 9–6 | 0.04 | 22% | 25 Mar → | |
| inferno | 3–9 | -0.15 | 6% | 25 Mar → | |
| inferno | 9–6 | 0.07 | 8% | 24 Mar → | |
| inferno | 9–5 | -0.01 | 8% | 24 Mar → | |
| inferno | 9–4 | 0.06 | 10% | 24 Mar → | |
| inferno | 9–2 | 0.18 | 16% | 24 Mar → |
Match data via Leetify.