Giggelsson — CS2 Stats
FI76561198071707160[U:1:111441432]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 84% playstyle similarity
Most alike: utility contribution, aim profile.
Where you differ: lower positioning profile; lower opening-duel success.
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 87 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 51 points — deaths here waste a strong aim profile.
Reaction time. 649ms 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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | B | 18 | 9–9 | 50% | 0.03 |
 cache | B | 15 | 8–7 | 53% | 0.04 |
 anubis | B | 13 | 7–6 | 54% | -0.00 |
 inferno | C | 12 | 5–7 | 42% | -0.01 |
 ancient | A | 12 | 7–5 | 58% | 0.01 |
 vertigo | S | 9 | 6–3 | 67% | -0.02 |
| office | A | 5 | 3–2 | 60% | 0.02 |
 train | A | 5 | 3–2 | 60% | 0.01 |
 dust2 | A | 5 | 3–2 | 60% | -0.02 |
 mirage | — | 4 | 2–2 | 50% | -0.02 |
 overpass | — | 2 | 1–1 | 50% | 0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 16 | 56% | 1.24 | 14.7 |
| Inferno | 14 | 79% | 1.14 | 15.9 |
| Nuke | 13 | 92% | 1.77 | 17.0 |
| Anubis | 12 | 42% | 1.34 | 15.1 |
| Dust2 | 7 | 57% | 0.95 | 13.3 |
| Vertigo | 6 | 50% | 1.27 | 11.7 |
| Ancient | 6 | 67% | 1.11 | 12.7 |
| Overpass | 1 | 0% | 1.50 | 39.0 |
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.
- 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 29.002% — 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.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 12–16 | 0.06 | 24% | 30 Aug → | |
| cache | 11–13 | -0.02 | 17% | 30 Aug → | |
| cache | 5–6 | 0.10 | 37% | 30 Aug → | |
| cache | 13–1 | -0.06 | 8% | 26 Aug → | |
| cache | 13–8 | 0.08 | 22% | 23 Aug → | |
| cache | 8–13 | 0.02 | 20% | 23 Aug → | |
| anubis | 13–8 | -0.10 | 20% | 22 Aug → | |
| office | 11–3 | 0.01 | 13% | 22 Aug → | |
| nuke | 12–12 | 0.05 | 35% | 22 Aug → | |
| mirage | 13–9 | -0.01 | 27% | 22 Aug → | |
| cache | 13–3 | 0.06 | 30% | 22 Aug → | |
| train | 7–13 | 0.00 | 27% | 18 Aug → | |
| train | 13–9 | 0.01 | 32% | 18 Aug → | |
| cache | 13–11 | 0.03 | 12% | 8 Aug → | |
| inferno | 25–23 | 0.00 | 24% | 7 Aug → | |
| anubis | 10–13 | -0.05 | 10% | 7 Aug → | |
| ancient | 13–4 | 0.11 | 26% | 7 Aug → | |
| nuke | 9–13 | -0.06 | 32% | 6 Aug → | |
| dust2 | 13–4 | 0.07 | 22% | 5 Aug → | |
| inferno | 13–6 | -0.01 | 25% | 5 Aug → | |
| vertigo | 7–13 | -0.00 | 19% | 4 Aug → | |
| vertigo | 13–10 | 0.02 | 24% | 3 Aug → | |
| vertigo | 0–5 | -0.05 | 0% | 3 Aug → | |
| vertigo | 13–5 | -0.01 | 31% | 3 Aug → | |
| vertigo | 9–3 | -0.03 | 19% | 16 Jun → | |
| nuke | 6–9 | -0.02 | 12% | 10 Jun → | |
| cache | 8–13 | 0.06 | 21% | 10 Jun → | |
| overpass | 16–12 | 0.07 | 14% | 10 Jun → | |
| nuke | 6–9 | -0.04 | 7% | 9 Jun → | |
| vertigo | 7–13 | -0.14 | 20% | 9 Jun → | |
| vertigo | 13–3 | 0.02 | 34% | 9 Jun → | |
| anubis | 13–9 | -0.05 | 21% | 27 May → | |
| cache | 13–9 | 0.06 | 27% | 25 May → | |
| dust2 | 5–13 | -0.06 | 32% | 25 May → | |
| anubis | 13–8 | -0.01 | 17% | 24 May → | |
| mirage | 8–13 | -0.13 | 18% | 24 May → | |
| inferno | 9–6 | 0.03 | 25% | 22 May → | |
| inferno | 6–9 | -0.10 | 19% | 22 May → | |
| mirage | 13–6 | 0.06 | 18% | 22 May → | |
| anubis | 3–13 | 0.05 | 15% | 22 May → | |
| office | 13–9 | 0.08 | 32% | 17 May → | |
| nuke | 13–11 | 0.01 | 35% | 17 May → | |
| cache | 13–8 | 0.03 | 27% | 7 May → | |
| cache | 8–13 | 0.01 | 37% | 6 May → | |
| cache | 4–13 | 0.07 | 21% | 6 May → | |
| cache | 13–9 | 0.06 | 13% | 29 Apr → | |
| cache | 13–11 | 0.04 | 26% | 29 Apr → | |
| cache | 10–13 | -0.01 | 13% | 29 Apr → | |
| inferno | 11–13 | 0.01 | 29% | 28 Apr → | |
| anubis | 13–4 | -0.07 | 16% | 28 Apr → | |
| ancient | 13–6 | 0.06 | 15% | 26 Apr → | |
| nuke | 13–10 | 0.03 | 19% | 26 Apr → | |
| train | 13–9 | -0.02 | 17% | 24 Apr → | |
| train | 13–5 | 0.04 | 21% | 24 Apr → | |
| train | 11–13 | 0.01 | 24% | 23 Apr → | |
| nuke | 14–16 | -0.03 | 21% | 17 Apr → | |
| nuke | 13–6 | 0.05 | 23% | 17 Apr → | |
| inferno | 4–13 | 0.01 | 16% | 15 Apr → | |
| ancient | 11–13 | 0.02 | 23% | 15 Apr → | |
| vertigo | 13–0 | -0.00 | 25% | 11 Apr → | |
| vertigo | 13–9 | 0.05 | 16% | 11 Apr → | |
| nuke | 3–13 | 0.02 | 19% | 11 Apr → | |
| mirage | 11–13 | 0.01 | 18% | 10 Apr → | |
| anubis | 13–4 | 0.02 | 32% | 1 Apr → | |
| anubis | 7–13 | 0.01 | 12% | 1 Apr → | |
| anubis | 6–13 | -0.02 | 14% | 1 Apr → | |
| anubis | 9–13 | -0.02 | 35% | 27 Mar → | |
| nuke | 1–13 | -0.05 | 42% | 27 Mar → | |
| office | 12–12 | -0.00 | 19% | 19 Mar → | |
| office | 13–4 | 0.02 | 23% | 19 Mar → | |
| office | 11–13 | -0.01 | 13% | 18 Mar → | |
| ancient | 13–11 | -0.04 | 13% | 17 Mar → | |
| anubis | 13–11 | 0.08 | 25% | 17 Mar → | |
| inferno | 5–9 | -0.05 | 6% | 12 Mar → | |
| overpass | 10–13 | 0.02 | 29% | 12 Mar → | |
| nuke | 13–4 | 0.12 | 42% | 12 Mar → | |
| dust2 | 16–13 | -0.05 | 18% | 26 Feb → | |
| nuke | 16–12 | 0.09 | 26% | 26 Feb → | |
| inferno | 2–13 | -0.04 | 18% | 23 Feb → | |
| dust2 | 15–15 | -0.04 | 26% | 18 Feb → | |
| nuke | 13–6 | -0.02 | 30% | 18 Feb → | |
| nuke | 11–13 | 0.04 | 13% | 17 Feb → | |
| nuke | 13–10 | 0.05 | 21% | 17 Feb → | |
| ancient | 2–13 | -0.04 | 25% | 17 Feb → | |
| dust2 | 13–4 | -0.03 | 14% | 17 Feb → | |
| ancient | 9–13 | -0.01 | 20% | 15 Feb → | |
| anubis | 15–15 | 0.04 | 17% | 15 Feb → | |
| ancient | 13–8 | 0.02 | 20% | 15 Feb → | |
| inferno | 13–10 | 0.00 | 18% | 15 Feb → | |
| inferno | 4–13 | -0.02 | 14% | 15 Feb → | |
| inferno | 15–15 | 0.02 | 20% | 14 Feb → | |
| ancient | 7–13 | 0.01 | 30% | 13 Feb → | |
| inferno | 13–3 | 0.07 | 21% | 13 Feb → | |
| ancient | 13–10 | 0.03 | 22% | 13 Feb → | |
| nuke | 13–11 | 0.06 | 25% | 11 Feb → | |
| ancient | 13–9 | 0.03 | 17% | 11 Feb → | |
| ancient | 13–3 | -0.03 | 16% | 11 Feb → | |
| nuke | 13–2 | 0.19 | 27% | 1 Feb → | |
| anubis | 12–1 | 0.08 | 13% | 1 Feb → | |
| ancient | 2–13 | -0.05 | 8% | 1 Feb → |
Match data via Leetify.
