chipzy — CS2 Stats
NO76561198031431217[U:1:71165489]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 18 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.
No change since then — still 25 tracked matches. Play, then come back: the next observation lands here.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 11 days played since 14 Jul 2025. Come back after the next session and the change shows above.
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Rating over time
Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10 needs 20 tracked matches — 19 so far.
Last 5 · 10 · 20 matches
Last 5
- 3–1–1 · 60% win rate
- Avg rating -0.01
- Avg headshot accuracy 17%
- Avg reaction 649ms
Last 10
- 6–3–1 · 60% win rate
- Avg rating -0.02
- Avg headshot accuracy 18%
- Avg reaction 622ms
Last 20
Needs 20 tracked matches — 19 so far.
Newest first, from the last 19 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).
Effective flashes
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like NiKo 81% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: 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
Strengths
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 637ms 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 6.7/10 (Solid, provisional — under 30 tracked matches), 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 19 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Personal bests
Across the last 19 tracked matches.
Highlights
Map breakdown
Strongest and weakest map need 5+ matches on two different maps — 1 of 7 maps qualify so far.
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 dust2 | S | 6 | 5–1 | 83% | 0.06 |
 mirage | — | 4 | 3–1 | 75% | 0.02 |
 anubis | — | 3 | 2–1 | 67% | -0.03 |
 ancient | — | 3 | 1–2 | 33% | -0.02 |
 train | — | 1 | 1–0 | 100% | 0.08 |
 inferno | — | 1 | 1–0 | 100% | 0.18 |
| grail | — | 1 | 1–0 | 100% | 0.07 |
Across the last 19 tracked matches.
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 resultsLWLWW
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 37.989% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–7 | 0.00 | 14% | 6 Sept → | |
| dust2 | 3–2 | -0.02 | 13% | 6 Sept → | |
| anubis | 13–6 | -0.02 | 20% | 3 Sept → | |
| ancient | 12–12 | 0.00 | 14% | 2 Sept → | |
| dust2 | 10–13 | -0.02 | 22% | 1 Sept → | |
| anubis | 8–13 | -0.02 | 24% | 1 Sept → | |
| mirage | 13–11 | 0.04 | 28% | 31 Aug → | |
| anubis | 13–11 | -0.05 | 14% | 24 Aug → | |
| ancient | 8–13 | -0.05 | 18% | 24 Aug → | |
| ancient | 13–4 | -0.02 | 12% | 23 Aug → | |
| mirage | 12–12 | 0.00 | 3% | 23 Aug → | |
| dust2 | 13–9 | 0.04 | 21% | 31 Jul → | |
| mirage | 13–7 | 0.05 | 25% | 31 Jul → | |
| train | 13–8 | 0.08 | 19% | 31 Jul → | |
| dust2 | 13–9 | 0.03 | 19% | 17 Jul → | |
| dust2 | 6–1 | 0.16 | 26% | 16 Jul → | |
| inferno | 13–2 | 0.18 | 24% | 14 Jul → | |
| dust2 | 13–3 | 0.15 | 22% | 14 Jul → | |
| grail | 13–11 | 0.07 | 26% | 14 Jul → |
Match data via Leetify.
