Little Foot — CS2 Stats

76561199497438971[U:1:1537173243]

2,591Tracked matches50%Win rate2023Tracked since
2,855Hours in CS1Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating13,853Blue band · top ~34.5% of ranked players (population est.)
CSDB Leaderboard#19386 of 29438 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate50.0%42.5%44.2%above
Shot accuracy2.9%10.9%11.2%8.3% short
Kill/death ratio1.050.991.04meets
Match win rate41.3%44.2%45.3%4.0% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLittle FootFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,853 · Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning43
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY464410Last 10046%Win rateLLWWLWWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim5.5
Aggression5.6
Utility7.0
Positioning4.3
Opening Duels1.9
Clutch4.8

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 86% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 727ms 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
Positioning4.3
Utility7.0
Mechanics7.1
Opening Duels1.9
Win Impact5.0

Composite 5.0/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time725ms+83ms
first ⅓ avg 642ms → last ⅓ avg 725ms
Headshot accuracy16.1%+2.8%
first ⅓ avg 13.3% → 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

0.22Best rating — ancient 13–2
132Biggest win — ancient
8Longest win streak
L2Current streak
48In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 67% over 6ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
nukeC167944%0.00
cacheD1551033%-0.01
ancientD134931%-0.01
dust2B137654%-0.01
anubisA127558%-0.01
mirageB115645%-0.03
infernoC94544%-0.03
trainS64267%-0.01
vertigo43175%-0.01
overpass1010%0.00

Across the last 100 tracked matches.

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

Lifetime stats

79,780Lifetime kills
1.05K/D · Top 50% of Level 4 players
5,200Matches
41.3%Match win rate
50.0%Headshot % · Top 25% of Level 4 players
2.9%Shot accuracy
5,648MVPs
1,579Hours (in match)
4,353Bombs planted
917Bombs defused

Most-used weapons

AK-4726,965
MP94,713
FAMAS2,948
AWP2,286
MAC-101,943

Lifetime map wins

5,597vertigo
5,094nuke
3,885inferno
3,053dust2
1,585train
409cbble
119ar_baggage
117ar_shoots

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

Faceit stats

Combat

47Matches
51%Win rate
0.87Avg K/D
67.2ADR
43%Headshot %

Clutches & streaks

44%1v1 clutch win
11%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo1369%1.0012.4
Anubis1267%0.8713.1
Ancient1233%0.6711.2
Mirage617%1.1610.2
Nuke333%0.508.0
Inferno1100%0.8319.0

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.

16.6%Headshot accuracy
35.1%Accuracy (enemy spotted)
34.7%Spray accuracy
81.9%Counter-strafing
10.0°Preaim
727msReaction time
37.1%T opening success
37.8%CT opening success
0.83Enemies flashed / flash
4.7%Flash assists
12.09HE damage / grenade
12.14Flashes / 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 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 726.6054ms — above the 700ms mark we flag

    Aim Training
  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 37.114% — below the 40% mark we flag

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–130.0417%18 Aug
cache2–13-0.0921%18 Aug
nuke13–90.0014%10 Aug
train13–90.0313%10 Aug
inferno6–13-0.077%10 Aug
mirage13–4-0.029%10 Aug
ancient13–50.058%10 Aug
cache13–50.0115%10 Aug
nuke3–13-0.0617%10 Aug
dust21–13-0.0616%5 Aug
ancient11–13-0.0713%4 Aug
train13–60.0929%4 Aug
nuke1–8-0.0210%3 Aug
train13–8-0.0724%3 Aug
inferno13–3-0.0721%3 Aug
vertigo11–130.0121%2 Aug
cache8–13-0.0217%2 Aug
nuke11–13-0.0321%1 Aug
cache13–100.0315%1 Aug
inferno12–12-0.0713%1 Aug
vertigo13–9-0.0224%1 Aug
mirage13–4-0.0219%1 Aug
dust26–13-0.048%1 Aug
dust27–130.0026%31 Jul
mirage13–80.0020%30 Jul
nuke13–80.0323%30 Jul
train12–12-0.0314%28 Jul
mirage4–13-0.0719%28 Jul
dust213–9-0.0211%28 Jul
ancient11–13-0.0013%27 Jul
anubis13–100.0410%27 Jul
ancient13–60.047%25 Jul
ancient13–20.2217%25 Jul
dust213–40.0319%24 Jul
dust213–40.0115%24 Jul
cache13–50.0517%24 Jul
anubis13–80.0217%24 Jul
ancient13–2-0.086%24 Jul
train12–12-0.0214%24 Jul
ancient8–13-0.0718%23 Jul
nuke3–7-0.028%23 Jul
anubis13–60.0324%23 Jul
anubis13–40.0115%23 Jul
cache4–130.0022%23 Jul
anubis12–16-0.0717%21 Jul
mirage10–13-0.045%21 Jul
inferno12–12-0.0411%21 Jul
nuke13–40.0413%21 Jul
ancient5–13-0.0011%20 Jul
nuke9–13-0.0714%20 Jul
inferno13–70.038%19 Jul
anubis11–13-0.0610%18 Jul
vertigo13–9-0.0018%18 Jul
nuke5–130.0323%18 Jul
train13–8-0.078%18 Jul
cache13–110.0812%18 Jul
inferno10–130.0710%17 Jul
cache11–13-0.0314%17 Jul
ancient10–13-0.0515%17 Jul
cache15–15-0.0213%17 Jul
ancient12–12-0.039%17 Jul
nuke7–13-0.0113%16 Jul
cache5–13-0.0711%16 Jul
anubis13–11-0.039%16 Jul
dust213–90.0113%16 Jul
nuke7–130.0219%16 Jul
nuke13–80.0512%15 Jul
anubis13–20.0011%15 Jul
cache3–13-0.0411%15 Jul
mirage6–13-0.0611%13 Jul
dust213–9-0.055%13 Jul
inferno5–13-0.0713%13 Jul
mirage13–5-0.0410%13 Jul
mirage3–13-0.032%13 Jul
cache7–2-0.0017%13 Jul
ancient6–13-0.0521%12 Jul
ancient5–13-0.0610%12 Jul
nuke13–9-0.0811%12 Jul
dust213–90.0514%11 Jul
nuke7–130.0315%11 Jul
inferno13–3-0.028%11 Jul
mirage13–11-0.009%11 Jul
anubis13–20.0517%11 Jul
cache11–13-0.0826%7 Jul
ancient9–13-0.0613%7 Jul
anubis12–12-0.0319%7 Jul
inferno13–8-0.0115%7 Jul
dust28–13-0.0221%7 Jul
nuke12–120.0418%7 Jul
cache11–130.0012%7 Jul
mirage4–13-0.059%7 Jul
dust212–120.0016%7 Jul
dust213–100.0114%6 Jul
overpass5–130.0014%6 Jul
dust25–13-0.0211%6 Jul
anubis10–13-0.047%6 Jul
vertigo13–9-0.0217%6 Jul
anubis12–12-0.0716%27 Jun
nuke13–110.0713%26 Jun
cache9–130.0113%26 Jun

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 →