Ice PP — CS2 Stats
CA76561199089500401[U:1:1129234673]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 50.7% | 42.7% | 44.0% | above |
| Shot accuracy | 1.6% | 10.8% | 11.6% | 10.0% short |
| Kill/death ratio | 0.98 | 1.00 | 1.03 | 0.05 short |
| Match win rate | 42.2% | 44.1% | 45.1% | 2.9% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 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: +0pp 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 77% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower aim 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
Areas to improve
T-side openings. Opening success drops from 43% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 660ms 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 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 ancient | B | 43 | 22–21 | 51% | -0.01 |
 cache | A | 19 | 12–7 | 63% | -0.01 |
 train | A | 9 | 5–4 | 56% | -0.01 |
 inferno | B | 6 | 3–3 | 50% | -0.01 |
 dust2 | S | 6 | 5–1 | 83% | -0.01 |
 nuke | D | 6 | 2–4 | 33% | -0.03 |
 mirage | D | 5 | 1–4 | 20% | -0.05 |
 overpass | — | 3 | 1–2 | 33% | 0.01 |
 anubis | — | 3 | 2–1 | 67% | -0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 14 | 64% | 0.71 | 10.9 |
| Mirage | 7 | 29% | 0.91 | 14.3 |
| Nuke | 6 | 50% | 0.98 | 12.5 |
| Ancient | 6 | 50% | 0.90 | 13.3 |
| Inferno | 3 | 33% | 0.68 | 9.0 |
| Anubis | 2 | 50% | 0.84 | 13.5 |
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.
- 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 17.125% — 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 | |
|---|---|---|---|---|---|
| ancient | 2–13 | -0.07 | 22% | 10 Jul → | |
| ancient | 13–7 | -0.02 | 14% | 4 Jul → | |
| ancient | 13–11 | 0.00 | 14% | 4 Jul → | |
| inferno | 13–8 | 0.03 | 21% | 4 Jul → | |
| mirage | 12–12 | -0.01 | 24% | 4 Jul → | |
| cache | 4–4 | 0.02 | 22% | 4 Jul → | |
| cache | 11–2 | 0.02 | 13% | 4 Jul → | |
| dust2 | 13–9 | 0.01 | 22% | 4 Jul → | |
| mirage | 8–13 | -0.10 | 20% | 4 Jul → | |
| ancient | 6–13 | -0.06 | 13% | 3 Jul → | |
| ancient | 2–13 | -0.10 | 28% | 3 Jul → | |
| cache | 5–13 | -0.04 | 21% | 1 Jul → | |
| ancient | 9–13 | 0.03 | 14% | 1 Jul → | |
| cache | 13–8 | -0.07 | 16% | 30 Jun → | |
| ancient | 13–10 | 0.10 | 13% | 30 Jun → | |
| cache | 13–7 | 0.04 | 25% | 28 Jun → | |
| train | 13–6 | 0.03 | 12% | 28 Jun → | |
| inferno | 13–0 | -0.01 | 14% | 28 Jun → | |
| cache | 13–6 | -0.08 | 10% | 28 Jun → | |
| mirage | 12–16 | -0.04 | 14% | 28 Jun → | |
| nuke | 8–13 | -0.03 | 31% | 28 Jun → | |
| dust2 | 13–6 | 0.00 | 12% | 28 Jun → | |
| nuke | 16–14 | -0.03 | 8% | 28 Jun → | |
| inferno | 11–13 | -0.02 | 14% | 27 Jun → | |
| train | 13–9 | 0.06 | 18% | 27 Jun → | |
| ancient | 10–13 | -0.03 | 15% | 26 Jun → | |
| train | 5–3 | -0.03 | 13% | 26 Jun → | |
| ancient | 13–1 | 0.01 | 22% | 25 Jun → | |
| train | 4–13 | -0.03 | 11% | 25 Jun → | |
| nuke | 13–9 | 0.07 | 21% | 25 Jun → | |
| ancient | 7–13 | -0.08 | 32% | 25 Jun → | |
| dust2 | 13–7 | -0.05 | 8% | 25 Jun → | |
| inferno | 6–13 | -0.09 | 13% | 25 Jun → | |
| train | 9–13 | -0.04 | 12% | 24 Jun → | |
| ancient | 8–13 | -0.05 | 17% | 23 Jun → | |
| train | 13–8 | 0.01 | 17% | 23 Jun → | |
| train | 12–12 | -0.03 | 20% | 22 Jun → | |
| train | 8–13 | 0.02 | 16% | 22 Jun → | |
| train | 13–4 | -0.06 | 8% | 21 Jun → | |
| ancient | 13–8 | 0.04 | 22% | 21 Jun → | |
| ancient | 8–13 | -0.01 | 12% | 21 Jun → | |
| ancient | 13–10 | -0.06 | 13% | 20 Jun → | |
| ancient | 7–13 | 0.05 | 15% | 20 Jun → | |
| ancient | 13–9 | -0.02 | 16% | 20 Jun → | |
| ancient | 13–4 | -0.04 | 11% | 19 Jun → | |
| mirage | 13–6 | -0.07 | 7% | 19 Jun → | |
| inferno | 13–6 | 0.00 | 4% | 19 Jun → | |
| cache | 13–8 | -0.03 | 29% | 19 Jun → | |
| ancient | 6–13 | -0.01 | 18% | 18 Jun → | |
| ancient | 13–11 | 0.07 | 19% | 18 Jun → | |
| ancient | 7–13 | -0.04 | 19% | 18 Jun → | |
| ancient | 12–12 | -0.04 | 25% | 17 Jun → | |
| ancient | 13–7 | 0.02 | 23% | 17 Jun → | |
| ancient | 2–13 | 0.02 | 15% | 16 Jun → | |
| ancient | 10–13 | 0.01 | 14% | 16 Jun → | |
| nuke | 7–13 | -0.05 | 12% | 15 Jun → | |
| ancient | 13–10 | -0.05 | 17% | 15 Jun → | |
| cache | 13–11 | -0.01 | 19% | 15 Jun → | |
| ancient | 7–13 | -0.03 | 15% | 14 Jun → | |
| cache | 13–10 | 0.08 | 15% | 14 Jun → | |
| ancient | 13–6 | -0.04 | 22% | 14 Jun → | |
| ancient | 13–7 | 0.06 | 20% | 13 Jun → | |
| cache | 11–13 | -0.02 | 19% | 13 Jun → | |
| cache | 10–13 | -0.04 | 16% | 13 Jun → | |
| ancient | 13–2 | 0.04 | 35% | 13 Jun → | |
| cache | 11–13 | -0.06 | 10% | 12 Jun → | |
| ancient | 13–8 | 0.04 | 20% | 12 Jun → | |
| ancient | 13–10 | -0.04 | 20% | 12 Jun → | |
| nuke | 4–13 | -0.11 | 15% | 12 Jun → | |
| ancient | 13–9 | 0.03 | 8% | 11 Jun → | |
| ancient | 5–13 | -0.09 | 19% | 11 Jun → | |
| cache | 13–7 | 0.01 | 25% | 10 Jun → | |
| inferno | 2–9 | 0.01 | 24% | 10 Jun → | |
| ancient | 12–12 | 0.04 | 25% | 9 Jun → | |
| ancient | 13–11 | -0.07 | 16% | 9 Jun → | |
| ancient | 8–1 | -0.00 | 12% | 9 Jun → | |
| ancient | 3–13 | -0.12 | 38% | 8 Jun → | |
| cache | 11–13 | -0.01 | 21% | 7 Jun → | |
| ancient | 13–6 | -0.00 | 16% | 7 Jun → | |
| mirage | 4–13 | -0.04 | 27% | 7 Jun → | |
| nuke | 10–13 | -0.03 | 26% | 7 Jun → | |
| cache | 9–13 | -0.07 | 19% | 6 Jun → | |
| cache | 13–8 | -0.02 | 14% | 6 Jun → | |
| cache | 13–7 | 0.00 | 18% | 6 Jun → | |
| overpass | 12–12 | -0.04 | 23% | 5 Jun → | |
| cache | 13–8 | 0.01 | 24% | 5 Jun → | |
| anubis | 13–8 | -0.01 | 18% | 4 Jun → | |
| dust2 | 12–12 | 0.01 | 23% | 4 Jun → | |
| dust2 | 13–6 | -0.04 | 33% | 3 Jun → | |
| cache | 6–13 | 0.01 | 36% | 3 Jun → | |
| anubis | 7–13 | -0.06 | 13% | 2 Jun → | |
| dust2 | 13–8 | 0.01 | 21% | 2 Jun → | |
| overpass | 13–6 | 0.08 | 23% | 1 Jun → | |
| ancient | 9–13 | 0.00 | 20% | 31 May → | |
| anubis | 4–0 | 0.04 | 33% | 31 May → | |
| ancient | 9–13 | -0.05 | 20% | 31 May → | |
| overpass | 12–12 | -0.01 | 24% | 31 May → | |
| ancient | 9–13 | -0.04 | 17% | 31 May → | |
| ancient | 13–10 | 0.02 | 17% | 31 May → | |
| ancient | 13–6 | 0.06 | 23% | 30 May → |
Match data via Leetify.
