littlewangsta

littlewangsta — CS2 Stats

FI76561197983469512[U:1:23203784]Steam profile ↗✓ No bans

2,883Tracked matches52%Win rate2022Tracked since
CSDB Rating3.6 LearningSupport
Premier CS Rating8,673Light Blue band · top ~61.2% of ranked players (population est.)
FaceitLevel 3 · 738 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 2 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 8,673 +3,562 2 Aug19 Sept · 25 days played
5,1118,879peak 8,8792 Aug19 Sept
Faceit ELO: 738 +0 1 Sept5 Sept · 2 observations
738738peak 7381 Sept5 Sept
8,879Peak Premier in tracked matches
738Highest Faceit ELO seen on CSDB
32Days played since 2026-08-02

Faceit ELO

  • At peak — 738
  • Next: Level 3 at 751 13 to go
  • Reached: Level 2
  • Level 2 first seen 2026-09-01

Premier CS Rating

  • 206 below peak (8,879)
  • +2,351 over 30 days · improving
  • Next: Blue band at 10,000 1,327 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGlittlewangstaFACEITLevel 3 · 738 ELOSTANDINGTop 90.6% of rankedPREMIER8,673 · Light Blue bandPEAK ELO738csdb.gg/stats

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Performance scores

Aim28
Positioning44
Utility61

0–100 skill scores via Leetify.

Recent form

HOT53425Last 10053%Win rateWLWLWLWWWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −0.9pp headshot accuracy · +35ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 730ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 704ms

Last 20

  • 1361 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 686ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+2.3 against its own average).

Aim2.8
Utility6.1
Positioning4.4
Opening Duels1.7
Clutch2.8

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 58% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 49% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 675ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning4.4
Utility6.1
Mechanics3.8
Opening Duels2.4
Win Impact5.6

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time682ms−10ms
first ⅓ avg 692ms → last ⅓ avg 682ms
Headshot accuracy14.8%−1.7%
first ⅓ avg 16.5% → last ⅓ avg 14.8%

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.

Personal bests

0.12Best match rating · 13–6 · anubis, 16 Sept
36%Best headshot accuracy · 9–3 · inferno, 9 Sept
422msFastest reaction time · 13–4 · inferno, 21 Aug
13–2Biggest win · nuke, 4 Sept

Across the last 100 tracked matches.

Highlights

8Longest win streak
78In matches decided by ≤2 rounds
9Overtime games

Map breakdown

vertigoBest map · 80% over 5nukeWeakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
nukeC2491538%-0.05
infernoB21101148%-0.02
anubisA148657%-0.04
ancientS1310377%-0.03
cacheA95456%-0.02
vertigoS54180%-0.02
mirage330100%-0.01
eldorado31233%-0.07
overpass3030%-0.15
poseidon21150%-0.02
debris110100%-0.01
office1010%-0.07
dust2110100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

471Matches
50%Win rate
0.71Avg K/D
64.7ADR
39%Headshot %

Clutches & streaks

34%1v1 clutch win
15%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno11253%0.7311.3
Nuke9158%0.7311.9
Anubis8542%0.7010.9
Ancient5643%0.6610.9
Vertigo3050%0.6912.2
Overpass1856%0.8111.6
Train1369%0.5912.1
Cache1242%0.6810.3

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.

13.5%Headshot accuracy
29.1%Accuracy (enemy spotted)
24.9%Spray accuracy
67.1%Counter-strafing
9.7°Preaim
675msReaction time
23.8%T opening success
49.1%CT opening success
0.46Enemies flashed / flash
4.7%Flash assists
11.23HE damage / grenade
10.59Flashes / 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 13.5308% — below the 15% 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 0.4588 — below the 0.5 mark we flag

    Grenade Lineups
  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 23.8231% — 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.

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–5-0.015%19 Sept
anubis3–13-0.075%19 Sept
mirage13–90.007%18 Sept
anubis10–13-0.0314%16 Sept
anubis13–60.1218%16 Sept
nuke11–13-0.079%13 Sept
eldorado9–6-0.0623%9 Sept
nuke9–2-0.0325%9 Sept
inferno9–3-0.0336%9 Sept
ancient13–11-0.0415%8 Sept
mirage13–10-0.0213%7 Sept
anubis13–3-0.0129%6 Sept
mirage13–5-0.038%6 Sept
cache13–7-0.0312%5 Sept
nuke8–13-0.0518%5 Sept
inferno9–13-0.0819%4 Sept
nuke13–20.0616%4 Sept
inferno8–80.0228%4 Sept
overpass7–9-0.078%4 Sept
anubis13–11-0.0516%3 Sept
nuke10–130.0816%2 Sept
inferno14–160.0110%2 Sept
cache13–70.0917%2 Sept
ancient13–30.0415%2 Sept
inferno9–13-0.034%2 Sept
ancient7–13-0.0810%1 Sept
ancient13–8-0.0714%1 Sept
nuke13–10-0.086%1 Sept
overpass3–9-0.175%1 Sept
debris9–6-0.0115%30 Aug
nuke9–4-0.0914%30 Aug
poseidon4–9-0.0732%30 Aug
eldorado7–9-0.104%30 Aug
overpass5–9-0.2110%30 Aug
vertigo6–9-0.0922%30 Aug
inferno9–5-0.0724%30 Aug
office6–13-0.0719%30 Aug
cache1–13-0.0714%29 Aug
nuke11–13-0.0315%28 Aug
anubis13–5-0.0117%28 Aug
nuke15–15-0.0514%28 Aug
inferno0–13-0.0316%27 Aug
ancient5–130.0120%27 Aug
eldorado7–9-0.037%27 Aug
poseidon9–60.0216%27 Aug
vertigo7–20.009%27 Aug
nuke9–1-0.0315%27 Aug
inferno6–9-0.1012%27 Aug
anubis0–5-0.060%25 Aug
nuke9–6-0.280%25 Aug
nuke10–13-0.0711%24 Aug
inferno6–13-0.0223%24 Aug
ancient13–5-0.0314%24 Aug
inferno8–13-0.0422%23 Aug
nuke13–11-0.045%23 Aug
anubis13–6-0.056%23 Aug
inferno13–30.0713%22 Aug
cache13–16-0.0412%22 Aug
ancient13–40.0415%21 Aug
inferno13–40.0610%21 Aug
nuke9–13-0.0415%21 Aug
nuke15–15-0.0318%20 Aug
anubis11–13-0.0016%20 Aug
inferno13–6-0.088%19 Aug
vertigo13–8-0.0129%19 Aug
nuke4–13-0.080%19 Aug
nuke9–40.0227%19 Aug
anubis3–13-0.1020%16 Aug
ancient13–50.0021%16 Aug
cache13–16-0.069%16 Aug
nuke7–13-0.079%16 Aug
inferno6–13-0.1121%11 Aug
anubis13–4-0.0719%11 Aug
nuke12–16-0.039%11 Aug
inferno13–30.0814%11 Aug
cache13–3-0.0113%11 Aug
vertigo9–10.0717%11 Aug
nuke3–9-0.2112%11 Aug
inferno9–60.0626%11 Aug
anubis1–13-0.1333%9 Aug
nuke5–13-0.0313%9 Aug
cache13–11-0.0422%9 Aug
inferno13–80.0514%8 Aug
inferno15–15-0.0318%8 Aug
anubis13–6-0.0015%8 Aug
inferno10–13-0.0326%8 Aug
nuke13–11-0.0413%8 Aug
nuke5–13-0.0317%7 Aug
inferno13–8-0.0510%7 Aug
nuke7–13-0.0120%7 Aug
dust213–6-0.0315%7 Aug
ancient11–13-0.0518%7 Aug
vertigo25–22-0.0712%6 Aug
cache15–15-0.0219%3 Aug
cache13–6-0.0119%3 Aug
ancient13–10-0.086%2 Aug
anubis13–9-0.0421%2 Aug
ancient13–7-0.0312%2 Aug
ancient13–11-0.0422%2 Aug
inferno13–11-0.086%2 Aug

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 →