jimpanzee — CS2 Stats
AU76561198138706513[U:1:178440785]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 20 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 3 days observed since 4 Sep 2026. Come back after the next session and the change shows above.
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Rating over time
Faceit ELO
- At peak — 1,106
- Next: Level 6 at 1,201 — 95 to go
- Reached: Level 5 · Level 4 · Level 3 · Level 2
- Level 5 first seen 2026-09-04
- Level 4 first seen 2026-09-04
Premier CS Rating
- 345 below peak (24,272)
- Next: Red band at 25,000 — 1,073 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-09-04
- Purple band first seen 2026-09-04
Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Player DNA
Primary style: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).
Strong CT-side openerEffective 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 89% playstyle similarity
Most alike: utility contribution, positioning 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
T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 576ms 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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 33 | 73% | 1.29 | 16.5 |
| Dust2 | 13 | 69% | 1.63 | 17.8 |
| Ancient | 13 | 62% | 1.24 | 15.7 |
| Anubis | 12 | 75% | 1.31 | 16.8 |
| Inferno | 11 | 64% | 0.92 | 14.4 |
| Cache | 10 | 70% | 0.87 | 13.9 |
| Nuke | 8 | 75% | 1.16 | 16.4 |
| Train | 1 | 0% | 0.75 | 12.0 |
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 36.3219% — below the 40% mark we flag