✘Giga✘ — CS2 Stats
US76561198956682108[U:1:996416380]Steam profile ↗✓ No bans
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 | 52.8% | 41.7% | 44.1% | above |
| Shot accuracy | 0.7% | 8.8% | 11.4% | 10.7% short |
| Kill/death ratio | 1.03 | 0.97 | 1.03 | meets |
| Match win rate | 44.5% | 43.8% | 45.2% | meets |
This profile matches the typical Purple band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. 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.
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: +10pp win rate · -0.00 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 82% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 55% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 598ms 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 4.7/10 (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 |
|---|---|---|---|---|---|
| D | 18 | 4–14 | 22% | -0.03 | |
| C | 16 | 6–10 | 38% | -0.02 | |
| A | 15 | 9–6 | 60% | 0.00 | |
| S | 15 | 11–4 | 73% | 0.01 | |
| S | 14 | 11–3 | 79% | 0.01 | |
| D | 11 | 3–8 | 27% | -0.00 | |
| D | 9 | 3–6 | 33% | -0.02 | |
| debris | — | 2 | 0–2 | 0% | -0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 18). 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 76 | 47% | 0.82 | 13.0 |
| Inferno | 40 | 42% | 0.84 | 14.2 |
| Dust2 | 31 | 39% | 0.75 | 11.6 |
| Nuke | 29 | 55% | 0.88 | 13.2 |
| Anubis | 22 | 36% | 0.89 | 13.9 |
| Ancient | 17 | 71% | 1.05 | 15.4 |
| Vertigo | 17 | 29% | 0.82 | 13.0 |
| Overpass | 13 | 62% | 0.85 | 14.5 |
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 11.405% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.0061 — below the 4 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 22.5381% — 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.
22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.00 | 9% | 29 Aug → | ||
| 13–11 | -0.04 | 5% | 29 Aug → | ||
| 8–8 | 0.12 | 12% | 29 Aug → | ||
| 10–13 | -0.01 | 5% | 22 Aug → | ||
| 9–13 | -0.04 | 20% | 22 Aug → | ||
| 11–13 | -0.08 | 9% | 22 Aug → | ||
| 7–9 | -0.02 | 18% | 22 Aug → | ||
| 2–9 | -0.09 | 7% | 22 Aug → | ||
| 4–9 | -0.10 | 5% | 21 Aug → | ||
| 13–7 | 0.02 | 25% | 20 Aug → | ||
| 7–13 | -0.04 | 18% | 20 Aug → | ||
| 13–9 | -0.00 | 15% | 20 Aug → | ||
| 13–7 | 0.09 | 13% | 19 Aug → | ||
| 9–13 | -0.03 | 16% | 19 Aug → | ||
| 7–13 | 0.04 | 14% | 18 Aug → | ||
| 13–16 | -0.02 | 9% | 18 Aug → | ||
| 6–13 | -0.07 | 14% | 17 Aug → | ||
| 5–13 | -0.06 | 3% | 17 Aug → | ||
| 8–13 | -0.04 | 12% | 17 Aug → | ||
| 6–13 | -0.07 | 6% | 15 Aug → | ||
| 13–9 | -0.10 | 13% | 15 Aug → | ||
| 9–7 | 0.08 | 22% | 15 Aug → | ||
| 15–15 | -0.01 | 8% | 14 Aug → | ||
| 13–8 | 0.03 | 10% | 14 Aug → | ||
| 13–7 | 0.03 | 10% | 14 Aug → | ||
| 13–6 | 0.03 | 13% | 14 Aug → | ||
| 13–10 | -0.04 | 10% | 13 Aug → | ||
| 8–13 | -0.02 | 8% | 13 Aug → | ||
| 13–10 | 0.12 | 16% | 13 Aug → | ||
| 11–13 | -0.00 | 13% | 12 Aug → | ||
| 8–13 | 0.00 | 11% | 12 Aug → | ||
| 16–13 | 0.02 | 14% | 12 Aug → | ||
| 10–13 | -0.02 | 13% | 11 Aug → | ||
| 13–5 | -0.01 | 3% | 11 Aug → | ||
| 13–11 | -0.08 | 6% | 11 Aug → | ||
| 1–9 | -0.26 | 0% | 10 Aug → | ||
| 8–13 | 0.02 | 9% | 10 Aug → | ||
| 13–10 | 0.05 | 15% | 10 Aug → | ||
| 13–3 | 0.15 | 18% | 7 Aug → | ||
| 10–13 | -0.03 | 16% | 7 Aug → | ||
| 13–4 | 0.03 | 14% | 6 Aug → | ||
| 13–11 | 0.06 | 10% | 5 Aug → | ||
| 14–16 | -0.04 | 14% | 5 Aug → | ||
| debris | 1–9 | -0.18 | 11% | 5 Aug → | |
| 13–10 | 0.07 | 21% | 4 Aug → | ||
| 13–7 | -0.02 | 14% | 4 Aug → | ||
| 6–13 | -0.05 | 11% | 4 Aug → | ||
| 13–3 | 0.06 | 18% | 3 Aug → | ||
| 13–11 | 0.03 | 16% | 3 Aug → | ||
| 4–13 | -0.01 | 20% | 2 Aug → | ||
| 13–8 | -0.00 | 4% | 2 Aug → | ||
| 13–8 | 0.08 | 8% | 2 Aug → | ||
| 8–13 | 0.01 | 14% | 1 Aug → | ||
| 13–6 | 0.09 | 11% | 1 Aug → | ||
| 6–13 | -0.06 | 15% | 1 Aug → | ||
| 13–5 | -0.03 | 29% | 1 Aug → | ||
| 7–9 | -0.07 | 19% | 1 Aug → | ||
| 6–13 | -0.04 | 7% | 30 Jul → | ||
| 15–15 | -0.00 | 13% | 29 Jul → | ||
| 3–13 | -0.03 | 19% | 29 Jul → | ||
| 13–11 | 0.05 | 11% | 29 Jul → | ||
| 16–12 | 0.04 | 11% | 28 Jul → | ||
| 6–13 | -0.10 | 18% | 28 Jul → | ||
| 13–9 | -0.01 | 6% | 28 Jul → | ||
| 9–13 | -0.05 | 21% | 28 Jul → | ||
| 6–13 | 0.02 | 9% | 27 Jul → | ||
| 13–10 | 0.07 | 24% | 27 Jul → | ||
| 13–6 | 0.01 | 12% | 27 Jul → | ||
| 7–13 | -0.01 | 16% | 26 Jul → | ||
| 13–11 | -0.04 | 15% | 26 Jul → | ||
| 5–9 | -0.01 | 19% | 26 Jul → | ||
| 13–4 | -0.04 | 19% | 26 Jul → | ||
| 13–6 | -0.00 | 12% | 26 Jul → | ||
| 7–13 | 0.02 | 13% | 26 Jul → | ||
| 15–15 | -0.03 | 13% | 26 Jul → | ||
| 5–9 | 0.04 | 18% | 26 Jul → | ||
| 13–16 | -0.01 | 13% | 25 Jul → | ||
| 4–13 | -0.03 | 6% | 25 Jul → | ||
| 3–13 | -0.05 | 14% | 24 Jul → | ||
| 4–13 | -0.08 | 11% | 24 Jul → | ||
| 5–9 | -0.04 | 11% | 23 Jul → | ||
| 16–14 | 0.05 | 6% | 23 Jul → | ||
| 10–13 | -0.04 | 14% | 23 Jul → | ||
| 2–9 | -0.11 | 19% | 23 Jul → | ||
| 5–1 | 0.03 | 19% | 23 Jul → | ||
| 9–4 | -0.01 | 12% | 23 Jul → | ||
| 8–13 | -0.02 | 9% | 22 Jul → | ||
| 8–8 | -0.07 | 7% | 22 Jul → | ||
| 9–1 | -0.03 | 0% | 22 Jul → | ||
| 13–10 | 0.09 | 14% | 20 Jul → | ||
| 13–9 | 0.09 | 12% | 20 Jul → | ||
| 13–5 | -0.03 | 10% | 20 Jul → | ||
| 13–1 | 0.07 | 17% | 20 Jul → | ||
| 0–13 | -0.02 | 6% | 18 Jul → | ||
| 13–10 | -0.03 | 10% | 18 Jul → | ||
| 8–13 | -0.05 | 9% | 18 Jul → | ||
| 13–5 | 0.01 | 12% | 18 Jul → | ||
| debris | 6–9 | 0.05 | 9% | 18 Jul → | |
| 13–10 | 0.04 | 13% | 17 Jul → | ||
| 13–5 | 0.01 | 9% | 17 Jul → |
Match data via Leetify.