Loops — CS2 Stats

76561198852752935[U:1:892487207]

785Tracked matches41%Win rate2020Tracked since
1,009Hours in CS6Hrs last 2 wks
CSDB Rating3.5 Learning
Premier CS Rating13,382Blue band · top ~37% of ranked players (population est.)
CSDB Leaderboard#29599 of 45152 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate41.7%41.4%44.2%2.5% short
Shot accuracy10.6%9.0%11.6%0.9% short
Kill/death ratio1.040.971.03meets
Match win rate37.4%43.7%45.2%7.8% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGLoopsPREMIER13,382 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning34
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY52453Last 10052%Win rateWLLLWWLLLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Aim4.1
Aggression4.3
Utility4.1
Positioning3.4
Opening Duels1.1

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

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 45% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 631ms 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

Aim4.1
Positioning3.4
Utility4.1
Mechanics4.9
Opening Duels1.9
Win Impact2.1

Composite 3.5/10 (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-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time634ms+10ms
first ⅓ avg 623ms → last ⅓ avg 634ms
Headshot accuracy16.1%−0.2%
first ⅓ avg 16.3% → last ⅓ avg 16.1%

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

0.14Best rating — dust2 13–4
130Biggest win — inferno
7Longest win streak
107In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 86% over 21nukeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C24101442%-0.02
mirageS2118386%0.00
infernoB158753%-0.00
nukeD134931%-0.05
ancientC125742%-0.00
cacheC52340%-0.04
overpassA53260%-0.01
anubisC52340%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,071Lifetime kills
1.04K/D · Top 50% of Blue band
1,582Matches
37.4%Match win rate
41.7%Headshot % · Top 50% of Blue band
10.6%Shot accuracy · Top 50% of Blue band
2,744MVPs
617Hours (in match)
406Bombs planted
230Bombs defused

Most-used weapons

Lifetime map wins

2,508dust2
1,459inferno
1,367nuke
460vertigo
261train
49office
11cbble
4ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

15.3%Headshot accuracy
27.7%Accuracy (enemy spotted)
32.2%Spray accuracy
72.0%Counter-strafing
10.0°Preaim
631msReaction time
23.5%T opening success
44.9%CT opening success
0.58Enemies flashed / flash
6.8%Flash assists
10.35HE damage / grenade
5.33Flashes / 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. 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 23.5474% — below the 40% mark we flag

Spend your practice time on Nuke

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 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–30.1318%23 Aug
nuke14–16-0.0115%23 Aug
dust28–13-0.019%20 Aug
ancient7–13-0.0115%19 Aug
cache13–80.0311%19 Aug
mirage13–9-0.0022%18 Aug
inferno8–13-0.0718%17 Aug
inferno11–13-0.0216%17 Aug
mirage7–13-0.0840%13 Aug
inferno13–11-0.0110%12 Aug
nuke7–13-0.0813%12 Aug
cache9–13-0.0617%11 Aug
dust25–13-0.0721%11 Aug
mirage13–6-0.0015%11 Aug
nuke9–13-0.0720%9 Aug
cache10–13-0.059%5 Aug
nuke11–13-0.108%4 Aug
dust213–7-0.0520%2 Aug
dust213–20.0518%28 Jul
dust25–13-0.0411%27 Jul
dust216–12-0.079%23 Jul
mirage16–13-0.0229%22 Jul
ancient5–13-0.110%21 Jul
dust23–13-0.0415%19 Jul
ancient13–5-0.0312%16 Jul
cache13–7-0.0913%15 Jul
inferno15–150.0113%13 Jul
cache5–13-0.0213%13 Jul
nuke2–13-0.0714%12 Jul
dust213–11-0.0519%12 Jul
mirage13–70.0319%12 Jul
nuke13–11-0.0123%6 Jul
dust213–60.0226%1 Jul
mirage13–11-0.0022%29 Jun
overpass13–7-0.0413%28 Jun
inferno13–100.0535%25 Jun
dust210–13-0.0220%24 Jun
mirage13–8-0.0516%23 Jun
nuke12–16-0.0521%22 Jun
inferno13–8-0.0619%21 Jun
dust213–70.0415%21 Jun
ancient13–60.0328%19 Jun
dust26–13-0.0218%19 Jun
dust215–15-0.0523%18 Jun
mirage13–60.0121%17 Jun
ancient6–13-0.0621%16 Jun
overpass16–140.028%15 Jun
mirage12–100.0020%14 Jun
ancient13–80.1317%11 Jun
nuke8–13-0.0130%11 Jun
ancient13–3-0.0415%9 Jun
dust29–13-0.0415%8 Jun
mirage13–80.009%7 Jun
dust29–13-0.0412%7 Jun
mirage13–10-0.0017%5 Jun
mirage13–1-0.0117%4 Jun
nuke2–13-0.0314%2 Jun
dust25–13-0.0417%1 Jun
inferno13–9-0.0425%31 May
overpass9–13-0.0113%28 May
dust26–13-0.0118%27 May
dust213–7-0.0421%26 May
ancient3–13-0.0228%25 May
inferno16–14-0.0811%25 May
ancient15–15-0.0022%24 May
nuke13–7-0.0313%22 May
nuke13–4-0.096%21 May
inferno9–130.0122%19 May
anubis13–80.028%18 May
inferno13–00.1425%18 May
dust214–16-0.0119%17 May
mirage13–50.0318%13 May
mirage7–130.0910%12 May
ancient13–160.098%12 May
inferno6–13-0.0614%11 May
dust211–13-0.0833%9 May
dust213–110.0419%7 May
mirage13–80.0220%6 May
inferno5–13-0.0217%5 May
dust214–16-0.0316%3 May
mirage13–8-0.023%3 May
nuke13–6-0.0311%28 Apr
mirage13–1-0.0122%28 Apr
inferno13–3-0.0015%27 Apr
nuke12–16-0.0220%27 Apr
anubis13–6-0.0610%26 Apr
dust213–40.1421%26 Apr
anubis11–13-0.0111%26 Apr
anubis4–13-0.0713%24 Apr
ancient13–11-0.0110%23 Apr
anubis5–130.0518%23 Apr
mirage13–60.0316%23 Apr
mirage6–130.0112%23 Apr
mirage16–14-0.0120%22 Apr
mirage13–6-0.0115%21 Apr
overpass13–60.0419%21 Apr
ancient8–13-0.0110%20 Apr
dust213–4-0.0318%20 Apr
overpass9–13-0.0625%19 Apr
inferno5–13-0.0521%19 Apr

Match data via Leetify.

Milestones

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