Worm — CS2 Stats

76561198087801675[U:1:127535947]

1,425Tracked matches52%Win rate2023Tracked since
879Hours in CS
CSDB Rating3.7 Learning
Premier CS Rating15,239Purple band · top ~27.4% of ranked players (population est.)
CSDB Leaderboard#12533 of 19819 tracked
WingmanSilver Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate35.5%48.1%12.6% short
Shot accuracy1.4%12.9%11.5% short
Kill/death ratio0.901.080.18 short
Match win rate43.9%46.5%2.6% short

This profile sits below the typical Pink band player on every metric we can compare.

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

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CSDB.GGWormPREMIER15,239 · Purple bandcsdb.gg/stats

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Performance scores

Aim43
Positioning32
Utility34

0–100 skill scores via Leetify.

Recent form

COLD60382Last 10060%Win rateLWLLLLLTLL

Last 10 vs previous 10: -60pp win rate · -0.02 avg rating

Player DNA

Aim4.3
Aggression0.6
Utility3.4
Positioning3.2
Opening Duels0.0
Clutch2.4

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 66% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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. 716ms 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

Aim4.3
Positioning3.2
Utility3.4
Mechanics4.6
Opening Duels0.0
Win Impact5.6

Composite 3.7/10 (Learning), 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

Match rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time715ms+67ms
first ⅓ avg 649ms → last ⅓ avg 715ms
Headshot accuracy12.0%−2.2%
first ⅓ avg 14.2% → last ⅓ avg 12.0%

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

0.13Best rating — mirage 13–2
132Biggest win — vertigo
12Longest win streak
95In matches decided by ≤2 rounds
5Overtime games

Map breakdown

vertigoBest map · 100% over 5nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B22111150%-0.01
mirageB157847%-0.01
ancientS1310377%-0.01
anubisA127558%-0.04
cacheA117464%0.00
nukeD93633%-0.02
infernoS97278%0.01
vertigoS550100%0.00
train32167%0.01
overpass110100%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,197Lifetime kills
0.90K/D
2,159Matches
43.9%Match win rate
35.5%Headshot %
1.4%Shot accuracy
3,678MVPs
879Hours (in match)
3,242Bombs planted
454Bombs defused

Most-used weapons

Lifetime map wins

3,816dust2
3,639inferno
2,844nuke
894vertigo
585train
105office
44cbble
31italy

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

Faceit stats

Combat

39Matches
33%Win rate
0.94Avg K/D
71.0ADR
36%Headshot %

Clutches & streaks

32%1v1 clutch win
11%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1331%0.8412.5
Dust2825%0.9616.3
Ancient50%0.6711.8
Overpass425%0.9213.3
Nuke475%1.7014.3
Cache250%0.9714.5
Inferno2100%0.8113.0
Anubis10%0.6012.0

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.

11.6%Headshot accuracy
33.9%Accuracy (enemy spotted)
34.6%Spray accuracy
70.9%Counter-strafing
8.6°Preaim
716msReaction time
20.2%T opening success
19.1%CT opening success
0.53Enemies flashed / flash
3.9%Flash assists
4.53HE damage / grenade
9.48Flashes / 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 11.6407% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 716.346ms — above the 700ms mark we flag

    Aim Training
  3. 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 20.1987% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.0317%5 Aug
mirage13–110.0312%5 Aug
anubis6–13-0.0514%5 Aug
train9–130.0414%4 Aug
anubis7–13-0.062%4 Aug
cache6–13-0.039%4 Aug
mirage3–13-0.0410%2 Aug
ancient12–12-0.0611%2 Aug
mirage11–13-0.089%2 Aug
mirage9–13-0.0716%2 Aug
mirage11–13-0.0222%31 Jul
nuke8–13-0.054%31 Jul
mirage13–3-0.009%31 Jul
ancient13–80.018%31 Jul
dust213–70.006%31 Jul
vertigo13–2-0.026%31 Jul
nuke13–11-0.0414%30 Jul
vertigo13–50.0111%30 Jul
inferno4–13-0.0414%29 Jul
anubis13–70.007%29 Jul
ancient13–7-0.0310%29 Jul
mirage11–13-0.0410%29 Jul
anubis13–40.0117%29 Jul
ancient13–60.0321%29 Jul
dust210–13-0.0416%29 Jul
anubis13–7-0.104%28 Jul
cache6–13-0.0021%28 Jul
anubis13–8-0.0814%28 Jul
cache13–10-0.077%16 Jul
ancient13–3-0.0514%16 Jul
cache13–110.0111%16 Jul
mirage13–20.1321%16 Jul
inferno13–6-0.0217%16 Jul
ancient13–16-0.019%15 Jul
ancient13–11-0.0715%15 Jul
dust26–130.0524%15 Jul
mirage7–130.0311%15 Jul
dust22–13-0.0417%15 Jul
cache16–14-0.0519%15 Jul
inferno13–6-0.050%15 Jul
dust28–13-0.0726%15 Jul
nuke13–60.0620%14 Jul
anubis9–13-0.0214%14 Jul
inferno9–13-0.038%14 Jul
mirage16–13-0.0412%14 Jul
cache13–7-0.0110%14 Jul
cache13–90.0712%14 Jul
dust28–13-0.0011%13 Jul
dust213–60.0516%13 Jul
anubis8–13-0.069%10 Jul
cache13–60.0314%10 Jul
nuke8–13-0.119%10 Jul
cache10–130.0425%7 Jul
cache13–40.0150%7 Jul
inferno9–10.0110%7 Jul
train3–3-0.0322%7 Jul
inferno13–8-0.0015%7 Jul
cache12–120.027%7 Jul
dust213–8-0.0229%6 Jul
vertigo13–60.047%6 Jul
ancient13–60.014%6 Jul
ancient5–130.0117%1 Jul
nuke10–13-0.0117%1 Jul
inferno13–80.0818%1 Jul
dust26–13-0.0517%1 Jul
nuke8–130.0120%1 Jul
dust213–10-0.014%1 Jul
ancient13–70.0111%1 Jul
mirage11–13-0.0314%30 Jun
dust210–130.0021%30 Jun
dust27–13-0.0518%30 Jun
inferno13–80.0413%30 Jun
inferno13–60.0924%30 Jun
nuke12–16-0.018%25 Jun
dust29–13-0.0413%25 Jun
overpass13–50.0323%25 Jun
dust213–9-0.0418%25 Jun
dust26–130.0114%25 Jun
anubis14–16-0.059%25 Jun
train13–70.0212%17 Jun
anubis13–8-0.0314%7 Jun
dust213–80.0213%7 Jun
dust213–5-0.0113%7 Jun
mirage10–13-0.026%7 Jun
mirage13–10-0.0113%4 Jun
dust213–9-0.0313%4 Jun
anubis13–11-0.038%4 Jun
anubis13–60.0015%4 Jun
ancient13–6-0.0316%4 Jun
ancient13–90.019%4 Jun
mirage13–11-0.0117%4 Jun
dust213–30.0912%3 Jun
dust213–100.0228%3 Jun
vertigo13–100.0213%3 Jun
vertigo13–11-0.0412%3 Jun
ancient13–50.0913%3 Jun
dust28–13-0.0115%3 Jun
dust212–6-0.0111%2 Jun
mirage13–8-0.0319%1 Jun
nuke13–4-0.0312%1 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →