Lymes — CS2 Stats

76561198124687012[U:1:164421284]

198Tracked matches50%Win rate2025Tracked since
158Hours in CS3Hrs last 2 wks
CSDB Rating4.2 Developing
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
CSDB Leaderboard#15058 of 23778 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate58.9%44.1%47.2%above
Shot accuracy0.2%11.4%12.7%12.5% short
Kill/death ratio0.761.031.090.33 short
Match win rate45.2%45.2%46.6%1.4% short

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

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.GGLymesPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning36
Utility11

0–100 skill scores via Leetify.

Recent form

COLD52453Last 10052%Win rateLLTLLLTWWW

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Aim5.9
Aggression2.6
Utility1.1
Positioning3.6
Opening Duels0.0

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 69% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 685ms 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

Aim5.9
Positioning3.6
Utility1.1
Mechanics7.1
Opening Duels0.0
Win Impact5.0

Composite 4.2/10 (Developing), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time680ms−29ms
first ⅓ avg 710ms → last ⅓ avg 680ms
Headshot accuracy23.5%−0.8%
first ⅓ avg 24.3% → last ⅓ avg 23.5%

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

0.11Best rating — mirage 13–0
130Biggest win — mirage
5Longest win streak
L2Current streak
35In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 100% over 6infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2S31201165%-0.03
mirageC28121643%-0.03
cacheB84450%-0.02
infernoD82625%-0.05
anubisD82625%-0.04
ancientC73443%-0.02
overpassS660100%-0.02
nuke43175%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,679Lifetime kills
0.76K/D
228Matches
45.2%Match win rate
58.9%Headshot % · Top 10% of Purple band
0.2%Shot accuracy
336MVPs
110Hours (in match)
233Bombs planted
39Bombs defused

Most-used weapons

Lifetime map wins

563dust2
353inferno
58nuke
31vertigo
26office
22train

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.

24.0%Headshot accuracy
29.0%Accuracy (enemy spotted)
33.4%Spray accuracy
81.7%Counter-strafing
9.7°Preaim
685msReaction time
28.9%T opening success
29.7%CT opening success
0.24Enemies flashed / flash
0.0%Flash assists
5.10HE damage / grenade
0.31Flashes / 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. 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 0.2437 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 28.9371% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0116%26 Aug
dust28–13-0.0617%23 Aug
dust215–15-0.0828%23 Aug
mirage7–13-0.0319%21 Aug
dust20–13-0.0840%21 Aug
mirage6–13-0.0725%13 Aug
cache15–15-0.0413%13 Aug
dust213–5-0.0217%3 Aug
cache13–40.0537%3 Aug
dust213–8-0.0216%29 Jul
inferno10–13-0.0228%24 Jul
cache2–13-0.0921%23 Jul
dust213–8-0.0220%23 Jul
nuke13–30.0017%22 Jul
anubis10–130.0052%18 Jul
mirage13–8-0.0418%18 Jul
dust216–12-0.0426%16 Jul
mirage13–8-0.0628%15 Jul
anubis4–13-0.0813%15 Jul
dust213–4-0.0343%15 Jul
cache7–13-0.0430%15 Jul
dust29–13-0.0614%12 Jul
cache13–9-0.0614%12 Jul
inferno13–16-0.0531%10 Jul
dust213–9-0.0639%3 Jul
anubis6–13-0.0933%3 Jul
dust216–12-0.0615%3 Jun
mirage13–10-0.0616%3 Jun
dust213–50.0717%2 Jun
anubis6–13-0.0326%1 Jun
mirage13–10-0.0411%1 Jun
dust213–10-0.0721%31 May
mirage13–8-0.0616%31 May
anubis7–13-0.0328%29 May
dust213–8-0.0211%29 May
overpass13–9-0.0317%28 May
inferno13–6-0.0617%28 May
mirage3–13-0.0416%24 May
mirage13–9-0.0536%24 May
dust213–8-0.0026%24 May
mirage9–13-0.0427%22 May
dust213–10.0122%22 May
overpass13–60.0528%20 May
dust213–30.0224%20 May
dust213–90.0127%20 May
mirage13–00.1132%20 May
dust29–13-0.0812%14 May
mirage8–13-0.1019%14 May
mirage10–130.0233%14 May
overpass13–8-0.0530%14 May
mirage13–7-0.0415%14 May
ancient7–13-0.118%6 May
mirage8–30.0244%6 May
cache13–8-0.0129%4 May
cache13–110.0319%4 May
mirage7–13-0.0628%18 Apr
overpass13–6-0.0318%16 Mar
mirage10–13-0.0315%11 Mar
dust213–10-0.0613%11 Mar
ancient13–6-0.0230%11 Mar
mirage5–13-0.0432%8 Mar
dust213–80.0343%8 Mar
inferno5–9-0.0343%4 Mar
dust213–7-0.0713%4 Mar
dust215–150.0126%28 Feb
mirage13–70.0133%25 Feb
dust213–8-0.0224%24 Feb
dust211–13-0.0520%11 Feb
anubis13–100.0123%10 Feb
anubis6–13-0.0518%8 Feb
dust214–16-0.0131%8 Feb
anubis13–11-0.0728%26 Jan
mirage10–13-0.0026%19 Jan
ancient13–4-0.0513%19 Jan
dust28–13-0.0326%19 Jan
inferno7–13-0.078%27 Dec
mirage11–130.0023%27 Dec
mirage16–12-0.0022%26 Dec
dust211–13-0.0729%20 Dec
mirage4–13-0.0218%13 Dec
mirage10–13-0.0731%7 Dec
overpass13–6-0.0134%7 Dec
inferno16–13-0.0224%4 Dec
nuke13–9-0.0130%4 Dec
ancient10–13-0.0126%4 Dec
inferno13–16-0.0725%3 Dec
dust213–40.0424%3 Dec
mirage16–14-0.0128%3 Dec
dust213–90.0227%3 Dec
ancient6–13-0.0135%3 Dec
mirage10–13-0.0022%3 Dec
overpass13–10-0.0719%1 Dec
nuke4–13-0.1214%1 Dec
inferno3–13-0.0426%1 Dec
mirage8–13-0.0550%1 Dec
dust22–13-0.0231%1 Dec
ancient6–130.0522%1 Dec
mirage14–16-0.0413%1 Dec
ancient13–8-0.0323%29 Nov
nuke13–90.0017%29 Nov

Match data via Leetify.

Recent teammates

Milestones

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