elastical

elastical — CS2 Stats

76561197960603916[U:1:338188]Steam profile ↗✓ No bans

468Tracked matches67%Win rate2026Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating10,625Blue band · top ~51.6% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

+3692Premier CS Rating · 6,933 → 10,625
+59Tracked matches · now 468
+28.7ppWin rate · 37.9% → 66.7%

Rating over time

10,625Peak Premier on CSDB
1Days observed since 2026-09-26

Premier CS Rating

  • At peak — 10,625
  • Next: Purple band at 15,000 — 4,375 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-26

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGelasticalPREMIER10,625 · Blue bandcsdb.gg/stats

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Performance scores

Aim38
Positioning63
Utility59

0–100 skill scores via Leetify.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim3.8
Utility5.9
Positioning6.3
Opening Duels4.3
Clutch2.6

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

jL

Plays most like jL 60% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8
Positioning6.3
Utility5.9
Mechanics1.2
Opening Duels5.7
Win Impact10.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Faceit stats

Combat

4Matches
50%Win rate
0.96Avg K/D
76.8ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno250%0.9615.0
Mirage10%0.6710.0
Anubis1100%1.2515.0

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.

12.2%Headshot accuracy
30.6%Accuracy (enemy spotted)
36.5%Spray accuracy
55.6%Counter-strafing
10.7°Preaim
542msReaction time
52.9%T opening success
52.8%CT opening success
0.53Enemies flashed / flash
6.3%Flash assists
9.33HE damage / grenade
6.88Flashes / match

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.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.2071% — below the 15% mark we flag

    Aim Training →

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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