GUGGA — CS2 Stats
RO76561199014126979[U:1:1053861251]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 1,811
- Next: Level 10 at 2,001 — 190 to go
- Reached: Level 9 · Level 8 · Level 7 · Level 6
- Level 9 first seen 2026-08-28
- Level 8 first seen 2026-08-28
Premier CS Rating
- At peak — 25,624
- Next: Gold band at 30,000 — 4,376 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 45.4% | 52.8% | 7.4% short |
| Shot accuracy | 0.0% | 13.7% | 13.7% short |
| Kill/death ratio | 1.07 | 1.08 | meets |
| Match win rate | 47.9% | 49.2% | 1.3% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 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 · -0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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: aim profile, positioning profile.
Where you differ: lower utility contribution; lower 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
Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.
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 37% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.
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 6.0/10 (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 |
|---|---|---|---|---|---|
| B | 25 | 13–12 | 52% | 0.00 | |
| C | 21 | 9–12 | 43% | 0.00 | |
| A | 12 | 7–5 | 58% | -0.00 | |
| A | 12 | 7–5 | 58% | 0.00 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| S | 9 | 6–3 | 67% | -0.01 | |
| C | 9 | 4–5 | 44% | -0.00 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Ancient 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 164 | 55% | 1.10 | 15.8 |
| Dust2 | 95 | 45% | 1.08 | 15.9 |
| Ancient | 88 | 44% | 1.01 | 15.4 |
| Inferno | 66 | 47% | 1.09 | 14.6 |
| Nuke | 49 | 67% | 1.16 | 16.4 |
| Anubis | 43 | 47% | 1.01 | 14.8 |
| Overpass | 21 | 71% | 1.20 | 18.1 |
| Train | 12 | 58% | 1.19 | 15.0 |
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.
- 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 0.4473 — 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 18.2412% — 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.
43% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | 0.06 | 17% | 27 Aug → | ||
| 13–7 | 0.03 | 29% | 23 Aug → | ||
| 11–13 | -0.04 | 42% | 23 Aug → | ||
| 12–16 | -0.04 | 21% | 23 Aug → | ||
| 13–3 | 0.09 | 24% | 17 Aug → | ||
| 14–16 | -0.02 | 13% | 17 Aug → | ||
| 13–10 | 0.00 | 11% | 17 Aug → | ||
| 10–13 | -0.08 | 17% | 17 Aug → | ||
| 13–7 | -0.03 | 8% | 15 Aug → | ||
| 8–13 | -0.08 | 20% | 15 Aug → | ||
| 13–11 | -0.00 | 15% | 15 Aug → | ||
| 13–9 | 0.02 | 22% | 15 Aug → | ||
| 7–13 | -0.01 | 20% | 8 Aug → | ||
| 1–13 | -0.03 | 50% | 7 Aug → | ||
| 16–14 | 0.03 | 9% | 5 Aug → | ||
| 13–6 | 0.05 | 17% | 4 Aug → | ||
| 16–14 | -0.01 | 21% | 4 Aug → | ||
| 13–6 | -0.06 | 14% | 4 Aug → | ||
| 9–13 | 0.00 | 17% | 4 Aug → | ||
| 9–13 | -0.01 | 8% | 3 Aug → | ||
| 5–13 | 0.01 | 14% | 3 Aug → | ||
| 13–6 | 0.09 | 18% | 3 Aug → | ||
| 13–6 | 0.04 | 15% | 3 Aug → | ||
| 8–13 | -0.06 | 14% | 3 Aug → | ||
| 13–7 | 0.00 | 10% | 3 Aug → | ||
| 13–10 | -0.07 | 22% | 3 Aug → | ||
| 13–2 | 0.01 | 16% | 2 Aug → | ||
| 10–13 | 0.09 | 19% | 2 Aug → | ||
| 12–16 | -0.05 | 17% | 30 Jul → | ||
| 6–13 | 0.00 | 15% | 30 Jul → | ||
| 13–6 | 0.04 | 13% | 30 Jul → | ||
| 16–13 | -0.04 | 11% | 30 Jul → | ||
| 4–1 | -0.04 | 18% | 30 Jul → | ||
| 6–13 | -0.03 | 15% | 30 Jul → | ||
| 7–13 | 0.01 | 23% | 29 Jul → | ||
| 13–6 | -0.01 | 17% | 29 Jul → | ||
| 11–13 | 0.03 | 21% | 28 Jul → | ||
| 13–7 | -0.02 | 24% | 28 Jul → | ||
| 13–10 | -0.05 | 11% | 28 Jul → | ||
| 13–7 | 0.00 | 23% | 28 Jul → | ||
| 7–13 | 0.07 | 20% | 28 Jul → | ||
| 13–16 | 0.06 | 24% | 26 Jul → | ||
| 13–5 | -0.05 | 19% | 26 Jul → | ||
| 13–4 | 0.07 | 22% | 26 Jul → | ||
| 13–9 | 0.08 | 17% | 26 Jul → | ||
| 13–6 | 0.06 | 15% | 26 Jul → | ||
| 14–16 | 0.01 | 16% | 24 Jul → | ||
| 13–16 | 0.04 | 24% | 23 Jul → | ||
| 13–6 | -0.01 | 26% | 23 Jul → | ||
| 11–13 | 0.01 | 19% | 22 Jul → | ||
| 10–13 | 0.01 | 10% | 22 Jul → | ||
| 13–3 | 0.08 | 15% | 22 Jul → | ||
| 2–8 | -0.01 | 38% | 22 Jul → | ||
| 8–13 | -0.03 | 21% | 22 Jul → | ||
| 13–8 | -0.03 | 9% | 21 Jul → | ||
| 16–13 | -0.00 | 26% | 21 Jul → | ||
| 15–15 | -0.04 | 22% | 21 Jul → | ||
| 14–16 | -0.00 | 9% | 21 Jul → | ||
| 7–13 | 0.01 | 19% | 21 Jul → | ||
| 1–13 | -0.09 | 25% | 21 Jul → | ||
| 14–16 | -0.05 | 17% | 21 Jul → | ||
| 13–5 | -0.01 | 27% | 19 Jul → | ||
| 11–13 | 0.02 | 17% | 19 Jul → | ||
| 8–13 | 0.03 | 18% | 18 Jul → | ||
| 13–10 | 0.01 | 20% | 18 Jul → | ||
| 13–4 | 0.08 | 23% | 18 Jul → | ||
| 13–11 | -0.02 | 19% | 18 Jul → | ||
| 13–11 | 0.01 | 16% | 18 Jul → | ||
| 8–13 | -0.01 | 16% | 16 Jul → | ||
| 8–13 | 0.02 | 21% | 16 Jul → | ||
| 13–11 | -0.01 | 15% | 16 Jul → | ||
| 13–8 | -0.04 | 14% | 15 Jul → | ||
| 10–13 | 0.03 | 20% | 15 Jul → | ||
| 12–16 | 0.02 | 18% | 15 Jul → | ||
| 13–2 | -0.05 | 20% | 14 Jul → | ||
| 3–13 | -0.01 | 20% | 14 Jul → | ||
| 13–11 | 0.02 | 13% | 13 Jul → | ||
| 13–11 | 0.01 | 9% | 13 Jul → | ||
| 6–13 | -0.05 | 25% | 12 Jul → | ||
| 13–4 | 0.00 | 17% | 12 Jul → | ||
| 9–13 | -0.04 | 19% | 11 Jul → | ||
| 13–11 | -0.01 | 9% | 11 Jul → | ||
| 13–8 | -0.01 | 9% | 11 Jul → | ||
| 10–13 | 0.01 | 23% | 11 Jul → | ||
| 5–13 | -0.03 | 29% | 11 Jul → | ||
| 13–8 | -0.04 | 16% | 11 Jul → | ||
| 10–13 | -0.03 | 8% | 11 Jul → | ||
| 7–0 | -0.01 | 50% | 11 Jul → | ||
| 13–0 | 0.01 | 10% | 10 Jul → | ||
| 13–6 | 0.03 | 22% | 10 Jul → | ||
| 10–13 | 0.05 | 27% | 10 Jul → | ||
| 10–13 | -0.02 | 26% | 10 Jul → | ||
| 13–11 | 0.00 | 16% | 10 Jul → | ||
| 13–8 | 0.00 | 29% | 10 Jul → | ||
| 7–13 | 0.08 | 19% | 10 Jul → | ||
| 6–13 | -0.06 | 20% | 9 Jul → | ||
| 7–13 | 0.00 | 24% | 9 Jul → | ||
| 13–7 | 0.07 | 19% | 9 Jul → | ||
| 13–5 | 0.06 | 30% | 9 Jul → | ||
| 9–13 | -0.00 | 24% | 9 Jul → |
Match data via Leetify.