l4mp — CS2 Stats

76561198148345218[U:1:188079490]

1,472Tracked matches43%Win rate2020Tracked since
1,611Hours in CS
CSDB Rating4.1 Developing
Premier CS Rating18,972Purple band · top ~12.6% of ranked players (population est.)
CSDB Leaderboard#23998 of 54674 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 rate35.1%44.2%47.1%12.0% short
Shot accuracy9.0%11.6%12.8%3.8% short
Kill/death ratio0.911.031.080.17 short
Match win rate28.7%45.2%46.6%17.9% short

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

Widest gap: Match win rate. 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.GGl4mpPREMIER18,972 · Purple bandcsdb.gg/stats

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Performance scores

Aim55
Positioning38
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY47467Last 10047%Win rateLWLWWWWLWL

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

Player DNA

Aim5.5
Aggression3.6
Utility2.7
Positioning3.8
Opening Duels0.7
Clutch2.8

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 72% playstyle similarity

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

Where you differ: lower utility contribution; 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 43% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms 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

Aim5.5
Positioning3.8
Utility2.7
Mechanics5.9
Opening Duels1.6
Win Impact2.8

Composite 4.1/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time618ms+32ms
first ⅓ avg 586ms → last ⅓ avg 618ms
Headshot accuracy16.0%−1.2%
first ⅓ avg 17.2% → last ⅓ avg 16.0%

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

0.18Best rating — nuke 13–2
132Biggest win — nuke
8Longest win streak
66In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 59% over 17ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
nukeA32181456%0.03
infernoA1710759%-0.01
mirageB158753%-0.02
ancientD113827%-0.02
anubisC104640%0.01
cacheB84450%0.01
dust24040%-0.01
vertigo1010%-0.06
office1010%-0.07
italy1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,467Lifetime kills
0.91K/D
4,620Matches
28.7%Match win rate
35.1%Headshot %
9.0%Shot accuracy
6,059MVPs
1,611Hours (in match)
4,128Bombs planted
687Bombs defused

Most-used weapons

AK-4726,306
AWP8,700
MP92,760
MAC-101,869
SG 5531,631

Lifetime map wins

6,012dust2
4,261nuke
1,798inferno
1,165vertigo
777train
168office
117italy
100aztec

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

Faceit stats

Combat

79Matches
56%Win rate
1.11Avg K/D
77.7ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
30%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2171%1.2216.4
Inferno1638%0.8212.9
Anubis1662%1.0515.4
Ancient1050%1.3817.8
Nuke944%1.0416.2
Dust2475%1.5420.5
Vertigo250%1.1619.0

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.

15.9%Headshot accuracy
33.6%Accuracy (enemy spotted)
39.9%Spray accuracy
76.7%Counter-strafing
12.1°Preaim
623msReaction time
22.8%T opening success
43.0%CT opening success
0.35Enemies flashed / flash
3.6%Flash assists
6.58HE damage / grenade
2.75Flashes / 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 12.0748° — above the 12° 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 0.3519 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–130.0213%26 Aug
inferno13–6-0.0513%23 Aug
dust27–13-0.0123%23 Aug
inferno13–5-0.0218%23 Aug
nuke13–30.063%14 Aug
nuke13–100.0515%14 Aug
anubis13–9-0.0212%9 Aug
mirage11–13-0.0427%9 Aug
mirage16–13-0.0214%6 Aug
ancient7–13-0.017%6 Aug
cache9–130.026%6 Aug
inferno13–60.0616%6 Aug
nuke7–13-0.0426%3 Aug
cache16–14-0.0412%3 Aug
mirage10–13-0.0510%3 Aug
inferno12–16-0.059%2 Aug
anubis11–130.0219%2 Aug
nuke11–130.029%2 Aug
nuke13–60.0215%2 Aug
dust21–13-0.0425%2 Aug
ancient5–13-0.0627%2 Aug
cache13–6-0.0222%31 Jul
nuke13–50.0017%31 Jul
nuke13–100.0211%25 Jul
dust211–13-0.0122%25 Jul
nuke8–13-0.0423%16 Jul
inferno1–13-0.0226%16 Jul
ancient9–13-0.0825%16 Jul
anubis13–110.005%11 Jul
nuke5–13-0.0221%9 Jul
anubis13–8-0.0114%9 Jul
nuke13–100.008%6 Jul
nuke10–130.0117%6 Jul
mirage13–11-0.0111%6 Jul
mirage13–60.0812%23 Jun
mirage10–13-0.0016%22 May
anubis11–13-0.0017%19 May
cache5–130.0315%19 May
ancient7–13-0.0318%18 May
nuke13–70.0217%18 May
inferno2–13-0.0134%18 May
vertigo1–13-0.0623%17 May
inferno11–3-0.0119%17 May
mirage13–10-0.0420%17 May
nuke12–120.0521%17 May
inferno13–11-0.0611%17 May
nuke4–130.0223%15 May
inferno13–10-0.0020%15 May
mirage10–13-0.0718%15 May
anubis9–13-0.0119%14 May
ancient13–16-0.0027%14 May
inferno13–5-0.0030%14 May
cache8–13-0.0222%14 May
inferno8–130.0414%9 May
cache13–40.105%9 May
nuke19–17-0.0117%9 May
anubis2–13-0.0210%9 May
mirage16–120.0212%8 May
mirage8–13-0.0913%8 May
nuke13–40.0324%8 May
inferno13–90.0321%5 May
nuke13–6-0.0511%5 May
nuke13–40.0433%4 May
mirage13–10-0.0316%4 May
cache13–60.0321%4 May
anubis13–40.1110%30 Apr
mirage13–70.0016%30 Apr
ancient4–130.0414%30 Apr
cache12–12-0.0414%30 Apr
nuke13–100.1122%25 Apr
nuke7–13-0.0121%25 Apr
dust215–150.0316%25 Apr
nuke8–130.0135%22 Apr
inferno13–30.0920%22 Apr
mirage12–12-0.0517%21 Apr
nuke16–130.0111%21 Apr
nuke6–130.0915%21 Apr
mirage15–15-0.0315%20 Apr
inferno7–13-0.0617%20 Apr
inferno16–13-0.0212%20 Apr
office10–13-0.078%18 Apr
nuke13–60.0119%18 Apr
ancient13–6-0.0119%18 Apr
nuke10–13-0.0115%18 Apr
nuke13–20.0611%17 Apr
ancient8–13-0.0219%17 Apr
anubis10–13-0.029%17 Apr
ancient16–14-0.0223%17 Apr
ancient0–13-0.038%16 Apr
italy12–12-0.0419%13 Apr
nuke10–13-0.038%13 Apr
ancient13–6-0.0120%13 Apr
mirage13–80.0719%11 Apr
nuke13–20.1834%11 Apr
nuke9–20.1621%11 Apr
inferno7–130.0016%10 Apr
inferno15–15-0.0616%10 Apr
nuke13–80.0916%10 Apr
anubis9–130.0418%9 Apr
nuke14–160.0120%9 Apr

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 →