Loopsey

Loopsey — CS2 Stats

NZ76561198338781058[U:1:378515330]Steam profile ↗✓ No bans

1,420Tracked matches38%Win rate2020Tracked since
CSDB Rating3.7 LearningPositional Player
Premier CS Rating11,712Blue band · top ~45.8% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,712 +3,417 4 Sept – 6 Oct · 28 days played
6,99111,712peak 11,7124 Sept6 Oct
11,954Peak Premier in tracked matches
27Days played since 2026-09-04

Premier CS Rating

  • At peak — 11,712
  • +3,579 over 30 days · improving
  • Next: Purple band at 15,000 — 3,288 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGLoopseyFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER11,712 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning45
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateLLWWWLLLWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −0.5pp headshot accuracy · +24ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 7%
  • Avg reaction 597ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 589ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 577ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim4.2
Utility2.9
Positioning4.5
Opening Duels1.9

Strong CT-side openerLimited utility dependence

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 82% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 577ms 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

Aim4.2
Positioning4.5
Utility2.9
Mechanics5.3
Opening Duels3.9
Win Impact1.0

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time575ms−1ms
first ⅓ avg 576ms → last ⅓ avg 575ms
Headshot accuracy9.2%−0.7%
first ⅓ avg 9.9% → last ⅓ avg 9.2%

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.

Personal bests

0.10Best match rating · 13–7 · anubis, 26 Sept →
22%Best headshot accuracy · 3–13 · dust2, 11 Sept →
398msFastest reaction time · 1–13 · ancient, 30 Sept →
13–1Biggest win · mirage, 25 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 62% over 13dust2Weakest map · 31% over 32
MapGradePlayedRecordWin rateAvg rating
dust2D3210–2231%-0.01
infernoB136–746%-0.02
nukeA138–562%0.00
ancientB126–650%-0.01
anubisB105–550%0.01
mirageC94–544%-0.01
cacheC94–544%0.02
train—11–0100%0.04
overpass—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 32). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.4%Headshot accuracy
30.2%Accuracy (enemy spotted)
35.7%Spray accuracy
73.9%Counter-strafing
11.3°Preaim
577msReaction time
41.5%T opening success
49.8%CT opening success
0.37Enemies flashed / flash
4.0%Flash assists
9.54HE damage / grenade
1.59Flashes / 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 9.4075% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3665 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

31% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0710%6 Oct →
mirage10–13-0.046%6 Oct →
inferno13–11-0.039%6 Oct →
inferno13–80.0412%5 Oct →
nuke6–2-0.020%5 Oct →
dust210–13-0.009%4 Oct →
cache4–13-0.0414%3 Oct →
dust21–13-0.0612%3 Oct →
inferno13–5-0.0113%2 Oct →
inferno11–13-0.023%2 Oct →
cache13–40.0711%2 Oct →
inferno7–13-0.018%1 Oct →
mirage13–6-0.0111%1 Oct →
dust215–15-0.0110%1 Oct →
cache13–40.049%1 Oct →
inferno10–130.004%1 Oct →
mirage13–80.0016%30 Sept →
dust213–8-0.0510%30 Sept →
ancient1–13-0.047%30 Sept →
dust24–130.008%30 Sept →
mirage10–13-0.008%30 Sept →
nuke13–100.097%29 Sept →
cache6–13-0.0315%29 Sept →
inferno8–13-0.0113%29 Sept →
ancient4–13-0.0111%29 Sept →
inferno8–13-0.085%27 Sept →
dust213–70.0616%27 Sept →
nuke11–130.0210%26 Sept →
dust211–130.0311%26 Sept →
dust28–130.034%26 Sept →
ancient13–9-0.018%26 Sept →
anubis13–70.1010%26 Sept →
nuke13–8-0.056%26 Sept →
dust213–11-0.0211%26 Sept →
anubis13–90.0611%26 Sept →
cache11–130.0710%25 Sept →
nuke6–13-0.024%25 Sept →
inferno13–8-0.094%25 Sept →
dust26–13-0.076%25 Sept →
mirage13–10.0218%25 Sept →
dust28–130.0316%25 Sept →
anubis7–13-0.034%25 Sept →
anubis13–7-0.0417%23 Sept →
dust213–110.057%22 Sept →
train13–50.0412%22 Sept →
mirage8–13-0.0711%22 Sept →
dust23–13-0.1015%22 Sept →
ancient7–13-0.083%22 Sept →
dust213–90.025%22 Sept →
dust26–13-0.022%22 Sept →
ancient13–9-0.091%21 Sept →
nuke13–2-0.0510%20 Sept →
dust213–8-0.028%20 Sept →
anubis13–50.057%20 Sept →
dust214–16-0.022%20 Sept →
dust213–11-0.0111%20 Sept →
dust211–13-0.0513%20 Sept →
mirage16–140.047%19 Sept →
anubis13–11-0.076%19 Sept →
inferno5–13-0.039%19 Sept →
nuke5–130.008%19 Sept →
inferno13–5-0.027%19 Sept →
dust212–120.0511%19 Sept →
anubis12–16-0.017%18 Sept →
dust213–3-0.016%18 Sept →
ancient6–13-0.0715%18 Sept →
anubis11–130.0313%16 Sept →
nuke13–40.0711%16 Sept →
nuke13–70.078%15 Sept →
dust213–80.0211%15 Sept →
ancient8–13-0.054%14 Sept →
inferno13–40.0210%14 Sept →
dust213–10-0.0411%14 Sept →
dust210–13-0.0815%13 Sept →
dust211–130.013%13 Sept →
cache13–80.0412%13 Sept →
ancient13–10-0.0422%12 Sept →
cache13–50.0417%12 Sept →
ancient13–50.0511%12 Sept →
nuke11–13-0.0210%12 Sept →
dust29–130.047%12 Sept →
ancient13–10.0812%12 Sept →
nuke13–11-0.006%11 Sept →
nuke13–7-0.015%11 Sept →
ancient13–70.0711%11 Sept →
anubis11–130.0212%11 Sept →
dust23–130.0522%11 Sept →
nuke9–13-0.079%10 Sept →
mirage3–13-0.056%10 Sept →
overpass12–12-0.038%9 Sept →
dust215–15-0.012%9 Sept →
cache4–13-0.0015%9 Sept →
anubis15–15-0.0111%5 Sept →
ancient9–130.065%5 Sept →
dust24–13-0.096%4 Sept →
inferno2–130.039%4 Sept →
mirage7–130.0410%4 Sept →
dust21–13-0.0113%4 Sept →
dust28–130.037%4 Sept →
cache14–16-0.036%4 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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