𝗹𝗮𝘂𝗻 — CS2 Stats

76561198363474119[U:1:403208391]

623Tracked matches66%Win rate2025Tracked since
644Hours in CS3Hrs last 2 wks
CSDB Rating3.4 Learning
Premier CS Rating11,324Blue band · top ~47.9% of ranked players (population est.)
CSDB Leaderboard#24396 of 34584 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 rate33.8%41.7%44.1%10.3% short
Shot accuracy0.0%8.8%11.4%11.4% short
Kill/death ratio0.610.971.030.43 short
Match win rate47.6%43.8%45.2%above

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

Widest gap: Shot accuracy. 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.GG𝗹𝗮𝘂𝗻PREMIER11,324 · Blue bandcsdb.gg/stats

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Performance scores

Aim22
Positioning28
Utility34

0–100 skill scores via Leetify.

Recent form

HOT51454Last 10051%Win rateWWWLLWWLWW

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

Aim2.2
Aggression2.3
Utility3.4
Positioning2.8
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 64% playstyle similarity

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

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

Reaction time. 689ms 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

Aim2.2
Positioning2.8
Utility3.4
Mechanics5.8
Opening Duels0.0
Win Impact10.0

Composite 3.4/10 (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-0.05+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time697ms−27ms
first ⅓ avg 723ms → last ⅓ avg 697ms
Headshot accuracy6.7%−2.6%
first ⅓ avg 9.3% → last ⅓ avg 6.7%

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

0.07Best rating — ancient 13–5
131Biggest win — cache
5Longest win streak
W3Current streak
94In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 67% over 12infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B65333251%-0.04
cacheS128467%-0.05
infernoD72529%-0.05
mirageC73443%-0.04
nukeA53260%-0.05
ancient220100%0.02
overpass2020%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,480Lifetime kills
0.61K/D
847Matches
47.6%Match win rate · Top 25% of Blue band
33.8%Headshot %
0.0%Shot accuracy
1,023MVPs
315Hours (in match)
807Bombs planted
142Bombs defused

Most-used weapons

Lifetime map wins

4,974dust2
787inferno
505nuke
125train
57office
52vertigo
38italy
8lake

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.

6.9%Headshot accuracy
29.6%Accuracy (enemy spotted)
33.5%Spray accuracy
76.1%Counter-strafing
13.2°Preaim
689msReaction time
23.7%T opening success
28.1%CT opening success
0.54Enemies flashed / flash
3.5%Flash assists
10.91HE damage / grenade
3.16Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2312° — above the 12° mark we flag

    Aim Training
  2. 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 6.8536% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.1639 — below the 4 mark we flag

    Grenade Lineups
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–3-0.044%17 Aug
dust213–11-0.074%17 Aug
dust213–11-0.018%17 Aug
inferno6–9-0.144%17 Aug
dust24–13-0.077%15 Aug
dust213–6-0.0315%15 Aug
dust213–7-0.0914%15 Aug
dust210–13-0.026%15 Aug
dust213–5-0.1110%15 Aug
dust213–8-0.0313%15 Aug
dust21–13-0.070%14 Aug
nuke10–13-0.100%12 Aug
mirage13–9-0.045%10 Aug
dust21–13-0.046%9 Aug
dust213–50.011%9 Aug
mirage13–80.0310%9 Aug
dust215–15-0.055%20 Jul
mirage2–13-0.1111%20 Jul
dust29–13-0.0310%20 Jul
dust213–6-0.046%19 Jul
dust213–7-0.0114%19 Jul
inferno13–8-0.077%19 Jul
nuke13–11-0.080%19 Jul
cache13–5-0.023%19 Jul
cache9–13-0.074%18 Jul
dust29–1-0.040%18 Jul
inferno8–13-0.063%18 Jul
cache13–9-0.0210%16 Jul
dust211–13-0.017%16 Jul
inferno13–3-0.0312%12 Jul
dust213–7-0.049%12 Jul
ancient13–8-0.034%12 Jul
dust27–13-0.039%12 Jul
mirage13–50.016%10 Jul
inferno8–13-0.029%9 Jul
dust213–70.037%9 Jul
dust213–40.0510%9 Jul
inferno7–110.035%8 Jul
dust213–110.014%7 Jul
mirage2–13-0.038%6 Jul
dust211–13-0.0617%6 Jul
dust25–13-0.0510%6 Jul
cache3–13-0.049%6 Jul
dust27–13-0.0422%4 Jul
dust23–13-0.078%27 Jun
dust213–20.019%27 Jun
dust213–9-0.023%27 Jun
dust213–11-0.055%27 Jun
dust213–6-0.079%27 Jun
dust24–13-0.039%27 Jun
dust211–130.029%26 Jun
inferno8–13-0.045%26 Jun
dust210–13-0.0513%24 Jun
overpass9–13-0.0311%24 Jun
dust210–13-0.0511%19 Jun
dust213–5-0.018%10 Jun
dust26–1-0.0612%10 Jun
dust213–8-0.027%10 Jun
dust213–40.019%10 Jun
dust213–6-0.026%10 Jun
dust23–13-0.0618%10 Jun
dust213–50.0213%9 Jun
dust24–13-0.0616%9 Jun
dust213–7-0.0610%9 Jun
dust20–13-0.107%8 Jun
dust213–9-0.076%4 Jun
ancient13–50.0710%4 Jun
dust212–12-0.042%3 Jun
dust27–13-0.1019%3 Jun
dust213–9-0.093%2 Jun
dust27–13-0.0522%30 May
dust212–12-0.080%30 May
dust22–13-0.0418%30 May
dust213–11-0.058%30 May
dust211–13-0.0212%28 May
nuke8–13-0.023%28 May
mirage7–13-0.062%27 May
dust29–13-0.039%27 May
cache13–100.017%27 May
dust28–13-0.107%26 May
mirage1–13-0.078%25 May
dust213–9-0.0717%25 May
dust29–13-0.049%25 May
dust26–13-0.133%25 May
cache1–13-0.0619%24 May
dust28–13-0.057%24 May
dust213–11-0.0610%22 May
cache7–13-0.130%22 May
cache4–4-0.0510%21 May
dust213–10-0.086%21 May
cache13–6-0.0511%20 May
dust212–12-0.0113%13 May
cache13–1-0.0610%13 May
cache13–11-0.047%12 May
dust25–13-0.099%12 May
dust213–4-0.0815%12 May
nuke13–70.0013%10 May
overpass7–13-0.0411%10 May
nuke13–8-0.086%10 May
cache13–8-0.0212%9 May

Match data via Leetify.

Recent teammates

Milestones

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