foidgaper74 — CS2 Stats
RU76561199631057208[U:1:1670791480]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 763
- Next: Level 4 at 901 — 138 to go
- Reached: Level 3 · Level 2
- Level 3 first seen 2026-08-28
- Level 2 first seen 2026-08-28
Premier CS Rating
- At peak — 28,021
- Next: Gold band at 30,000 — 1,979 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 |
|---|---|---|
| Headshot rate | 46.9% | 52.8% |
| Shot accuracy | 0.0% | 13.7% |
| Kill/death ratio | 1.21 | 1.08 |
| Match win rate | 55.5% | 49.2% |
Share this profile
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 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 sh1ro 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.3/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 23 | 13–10 | 57% | 0.02 | |
| S | 18 | 12–6 | 67% | 0.04 | |
| S | 17 | 12–5 | 71% | 0.05 | |
| A | 16 | 9–7 | 56% | 0.01 | |
| D | 12 | 3–9 | 25% | -0.01 | |
| S | 6 | 5–1 | 83% | 0.02 | |
| — | 4 | 1–3 | 25% | 0.05 | |
| — | 4 | 2–2 | 50% | -0.00 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 104 | 60% | 1.39 | 18.3 |
| Dust2 | 56 | 41% | 1.29 | 15.6 |
| Ancient | 42 | 45% | 1.06 | 16.6 |
| Inferno | 35 | 54% | 1.22 | 18.0 |
| Nuke | 28 | 43% | 1.16 | 17.6 |
| Cache | 26 | 54% | 1.61 | 20.9 |
| Anubis | 23 | 61% | 1.23 | 18.9 |
| Train | 3 | 33% | 1.11 | 16.3 |
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 0.462 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.09 | 21% | 28 Aug → | ||
| 9–13 | -0.07 | 32% | 27 Aug → | ||
| 13–6 | 0.03 | 21% | 27 Aug → | ||
| 6–9 | 0.13 | 29% | 27 Aug → | ||
| 10–13 | 0.01 | 22% | 27 Aug → | ||
| 13–5 | 0.01 | 5% | 27 Aug → | ||
| 12–12 | 0.06 | 15% | 27 Aug → | ||
| 5–2 | 0.14 | 23% | 27 Aug → | ||
| 13–10 | 0.09 | 16% | 27 Aug → | ||
| 11–13 | -0.02 | 10% | 27 Aug → | ||
| 13–8 | 0.05 | 13% | 26 Aug → | ||
| 4–13 | 0.05 | 17% | 26 Aug → | ||
| 13–1 | 0.10 | 18% | 26 Aug → | ||
| 13–7 | -0.03 | 8% | 26 Aug → | ||
| 13–6 | 0.10 | 18% | 26 Aug → | ||
| 13–8 | 0.10 | 12% | 26 Aug → | ||
| 9–1 | 0.21 | 10% | 26 Aug → | ||
| 3–13 | 0.03 | 15% | 26 Aug → | ||
| 15–15 | 0.01 | 24% | 26 Aug → | ||
| 0–13 | 0.05 | 23% | 25 Aug → | ||
| 12–12 | 0.02 | 18% | 22 Aug → | ||
| 13–7 | 0.03 | 15% | 22 Aug → | ||
| 13–9 | 0.06 | 13% | 22 Aug → | ||
| 13–3 | 0.05 | 18% | 22 Aug → | ||
| 6–9 | 0.08 | 25% | 22 Aug → | ||
| 13–7 | 0.05 | 14% | 22 Aug → | ||
| 16–19 | 0.05 | 14% | 21 Aug → | ||
| 13–4 | 0.06 | 23% | 21 Aug → | ||
| 13–8 | 0.06 | 17% | 21 Aug → | ||
| 13–9 | 0.04 | 28% | 21 Aug → | ||
| 13–8 | 0.01 | 15% | 21 Aug → | ||
| 4–13 | -0.02 | 16% | 21 Aug → | ||
| 11–13 | 0.05 | 16% | 21 Aug → | ||
| 13–10 | 0.05 | 13% | 21 Aug → | ||
| 3–13 | -0.09 | 19% | 21 Aug → | ||
| 9–11 | 0.04 | 11% | 21 Aug → | ||
| 16–13 | 0.01 | 14% | 21 Aug → | ||
| 13–5 | -0.03 | 24% | 21 Aug → | ||
| 7–13 | -0.02 | 21% | 21 Aug → | ||
| 11–13 | 0.03 | 22% | 21 Aug → | ||
| 13–3 | 0.03 | 16% | 20 Aug → | ||
| 10–13 | 0.05 | 20% | 20 Aug → | ||
| 7–13 | 0.02 | 19% | 20 Aug → | ||
| 3–13 | -0.00 | 14% | 20 Aug → | ||
| 16–13 | 0.02 | 22% | 20 Aug → | ||
| 4–2 | 0.04 | 19% | 20 Aug → | ||
| 2–13 | -0.05 | 22% | 20 Aug → | ||
| 12–16 | 0.04 | 20% | 20 Aug → | ||
| 6–13 | -0.07 | 17% | 20 Aug → | ||
| 13–8 | 0.03 | 22% | 20 Aug → | ||
| 13–8 | -0.02 | 16% | 20 Aug → | ||
| 8–8 | -0.05 | 10% | 20 Aug → | ||
| 13–11 | 0.06 | 49% | 20 Aug → | ||
| 13–11 | 0.04 | 9% | 19 Aug → | ||
| 13–6 | 0.06 | 16% | 19 Aug → | ||
| 10–13 | -0.03 | 21% | 19 Aug → | ||
| 13–6 | 0.03 | 20% | 19 Aug → | ||
| 9–13 | -0.02 | 10% | 19 Aug → | ||
| 13–11 | -0.04 | 25% | 19 Aug → | ||
| 13–4 | 0.13 | 14% | 19 Aug → | ||
| 13–0 | 0.17 | 18% | 19 Aug → | ||
| 13–11 | 0.02 | 18% | 18 Aug → | ||
| 11–13 | -0.02 | 25% | 18 Aug → | ||
| 13–4 | 0.07 | 36% | 18 Aug → | ||
| 13–7 | 0.06 | 11% | 17 Aug → | ||
| 7–13 | -0.04 | 28% | 17 Aug → | ||
| 13–4 | 0.00 | 20% | 17 Aug → | ||
| 13–10 | -0.02 | 13% | 17 Aug → | ||
| 13–9 | 0.03 | 27% | 17 Aug → | ||
| 13–6 | 0.03 | 20% | 17 Aug → | ||
| 4–13 | -0.03 | 18% | 17 Aug → | ||
| 13–11 | 0.10 | 28% | 17 Aug → | ||
| 3–13 | -0.04 | 25% | 17 Aug → | ||
| 13–0 | 0.04 | 22% | 17 Aug → | ||
| 13–4 | 0.02 | 23% | 16 Aug → | ||
| 6–13 | 0.03 | 20% | 16 Aug → | ||
| 13–8 | 0.11 | 17% | 16 Aug → | ||
| 13–11 | 0.05 | 18% | 15 Aug → | ||
| 0–13 | -0.05 | 0% | 15 Aug → | ||
| 10–0 | 0.09 | 21% | 15 Aug → | ||
| 13–5 | 0.13 | 8% | 14 Aug → | ||
| 13–8 | 0.01 | 9% | 14 Aug → | ||
| 5–13 | -0.06 | 17% | 14 Aug → | ||
| 13–4 | 0.04 | 20% | 14 Aug → | ||
| 11–13 | 0.01 | 29% | 14 Aug → | ||
| 3–13 | -0.06 | 18% | 14 Aug → | ||
| 13–3 | 0.02 | 31% | 14 Aug → | ||
| 5–9 | -0.08 | 11% | 13 Aug → | ||
| 13–8 | 0.00 | 17% | 13 Aug → | ||
| 13–16 | -0.02 | 21% | 13 Aug → | ||
| 11–13 | -0.03 | 22% | 13 Aug → | ||
| 13–1 | 0.04 | 36% | 13 Aug → | ||
| 13–3 | 0.08 | 23% | 13 Aug → | ||
| 4–13 | -0.07 | 10% | 13 Aug → | ||
| 0–13 | -0.10 | 67% | 13 Aug → | ||
| 13–11 | 0.00 | 20% | 13 Aug → | ||
| 3–13 | 0.02 | 35% | 12 Aug → | ||
| 13–11 | -0.00 | 13% | 12 Aug → | ||
| 12–16 | -0.04 | 18% | 12 Aug → | ||
| 13–7 | 0.06 | 28% | 12 Aug → |
Match data via Leetify.