littlewangsta

littlewangsta — CS2 Stats

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

2,939Tracked matches53%Win rate2022Tracked since
4,112Hours in CS15Hrs last 2 wks
CSDB Rating4.1 DevelopingSupport
Premier CS Rating7,156Light Blue band · top ~68.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 7,156 +358 19 Aug – 7 Oct · 27 days played
6,3228,879peak 8,87919 Aug7 Oct
Faceit ELO: 738 +0 1 Sept – 20 Sept · 3 observations
738738peak 7381 Sept20 Sept
8,879Peak Premier in tracked matches
738Highest Faceit ELO seen on CSDB
35Days played since 2026-08-19

Premier CS Rating

  • 1,723 below peak (8,879)
  • -989 over 30 days · declining
  • Next: Blue band at 10,000 — 2,844 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.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,259), 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 3 medianLevel 4 medianvs Level 4
Headshot rate36.1%41.8%42.7%6.7% short
Shot accuracy10.1%12.2%11.3%1.2% short
Kill/death ratio0.760.980.990.23 short
Match win rate40.4%43.3%43.9%3.6% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGlittlewangstaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER7,156 · Light Blue bandPEAK ELO738csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim27
Positioning57
Utility66

0–100 skill scores via Leetify.

Recent form

HOT52–41–7Last 10052%Win rateWLWWWLWWWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −5.3pp headshot accuracy · −88ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 638ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 637ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 681ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim2.7
Utility6.6
Positioning5.7
Opening Duels2.1
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.

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

ZywOo

Plays most like ZywOo 50% 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

Reaction time. 685ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.7
Positioning5.7
Utility6.6
Mechanics3.3
Opening Duels4.8
Win Impact6.1

Composite 4.1/10 (Developing), 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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time702ms+45ms
first ⅓ avg 657ms → last ⅓ avg 702ms
Headshot accuracy18.1%+4.7%
first ⅓ avg 13.4% → last ⅓ avg 18.1%

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.

Personal bests

0.19Best match rating · 9–4 · debris, 21 Sept →
44%Best headshot accuracy · 13–6 · nuke, 26 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
8–13In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 80% over 5overpassWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC2310–1343%-0.06
infernoB2110–1148%-0.02
anubisB105–550%-0.02
ancientS97–278%-0.02
cacheC73–443%-0.04
eldoradoB63–350%-0.05
overpassD62–433%-0.09
mirageS54–180%-0.03
vertigoS54–180%-0.03
poseidon—42–250%-0.09
debris—32–167%0.01
office—10–10%-0.07

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,336Lifetime kills
0.76K/D
6,197Matches
40.4%Match win rate
36.1%Headshot %
10.1%Shot accuracy
9,322MVPs
2,332Hours (in match)
3,052Bombs planted
689Bombs defused

Most-used weapons

AK-4717,427
AWP9,820
SSG 083,019
FAMAS2,961
P902,715

Lifetime map wins

8,766dust2
8,635inferno
8,580nuke
7,956office
2,892vertigo
1,967train
464dust
267bank

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

Faceit stats

Combat

494Matches
49%Win rate
0.70Avg K/D
64.2ADR
39%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno11653%0.7211.3
Nuke9958%0.7211.5
Anubis8943%0.6910.8
Ancient6042%0.6510.7
Vertigo3148%0.6912.1
Overpass1856%0.8111.6
Train1369%0.5912.1
Cache1338%0.7011.2

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.

15.4%Headshot accuracy
28.6%Accuracy (enemy spotted)
24.6%Spray accuracy
65.0%Counter-strafing
9.9°Preaim
685msReaction time
55.6%T opening success
42.7%CT opening success
0.52Enemies flashed / flash
3.8%Flash assists
13.78HE damage / grenade
10.35Flashes / match

Recommended for you

Spend your practice time on Overpass

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0412%8 Oct →
cache14–16-0.0915%7 Oct →
ancient13–100.0123%4 Oct →
mirage13–10-0.0613%2 Oct →
cache13–3-0.0511%1 Oct →
inferno11–13-0.0612%1 Oct →
eldorado9–70.1117%1 Oct →
overpass9–7-0.049%1 Oct →
inferno9–6-0.0316%1 Oct →
vertigo9–5-0.0712%1 Oct →
poseidon9–7-0.0512%1 Oct →
debris5–9-0.1514%1 Oct →
nuke9–6-0.1027%1 Oct →
overpass8–8-0.0819%28 Sept →
inferno9–60.1019%28 Sept →
nuke8–8-0.165%27 Sept →
nuke7–130.0217%27 Sept →
nuke9–7-0.0530%27 Sept →
inferno8–8-0.0112%27 Sept →
eldorado7–9-0.1238%27 Sept →
nuke13–6-0.0144%26 Sept →
inferno13–3-0.0320%26 Sept →
nuke14–16-0.0722%26 Sept →
mirage4–13-0.0518%23 Sept →
inferno14–16-0.0514%21 Sept →
cache14–16-0.1011%21 Sept →
eldorado9–6-0.0714%21 Sept →
overpass9–10.0519%21 Sept →
vertigo9–50.0321%21 Sept →
nuke8–8-0.1421%21 Sept →
debris9–40.1924%21 Sept →
inferno9–20.0717%21 Sept →
poseidon5–9-0.2522%21 Sept →
anubis8–13-0.0616%20 Sept →
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 →

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 →

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