Wangus

Wangus — CS2 Stats

KR76561198132860907[U:1:172595179]Steam profile ↗✓ No bans

484Tracked matches56%Win rate2020Tracked since
3,238Hours in CS14Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

+30Tracked matches · now 484
+9.4ppWin rate · 46.2% → 55.6%
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. 30 days played since 11 Jul 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

30Days played since 2026-07-11

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=9,169), 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 rate39.4%41.9%42.7%3.3% short
Shot accuracy16.3%12.2%11.3%above
Kill/death ratio0.980.980.99meets
Match win rate39.0%43.3%43.9%4.9% short

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

Widest gap: Match win rate. 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.GGWangusFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning68
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY42508Last 10042%Win rateWLLWWWWLLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −3.2pp headshot accuracy · +59ms 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 18%
  • Avg reaction 681ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 612ms

Last 20

  • 992 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 582ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim6.3
Utility5.8
Positioning6.8
Opening Duels3.6
Clutch5.4

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 78% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 572ms 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

Aim6.3
Positioning6.8
Utility5.8
Mechanics5.9
Opening Duels4.6
Win Impact6.9

Composite 6.2/10 (Solid), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time569ms−65ms
first ⅓ avg 634ms → last ⅓ avg 569ms
Headshot accuracy16.5%+0.5%
first ⅓ avg 16.0% → last ⅓ avg 16.5%

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

0.16Best match rating · 13–6 · cache, 15 Aug
38%Best headshot accuracy · 1–13 · train, 21 Jul
336msFastest reaction time · 4–2 · inferno, 15 Sept
13–1Biggest win · nuke, 11 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
55In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 75% over 12ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB157847%0.02
mirageD123925%-0.02
infernoS129375%0.04
dust2D112918%-0.01
anubisC104640%0.01
ancientD81713%-0.03
officeA74357%0.02
overpassC73443%0.02
nukeD62433%0.01
vertigoC52340%0.00
train31233%0.01
shelter220100%0.03
fachwerk110100%0.08
boulder110100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,674Lifetime kills
0.98K/D
3,870Matches
39.0%Match win rate
39.4%Headshot %
16.3%Shot accuracy · Top 25% of Level 3 players
7,858MVPs
1,716Hours (in match)
4,169Bombs planted
1,078Bombs defused

Most-used weapons

AK-4731,932
AWP8,940
P2502,642
Tec-92,081
FAMAS1,506

Lifetime map wins

6,989inferno
6,284dust2
2,080train
1,978nuke
890cbble
721vertigo
154office
73lake

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

Faceit stats

Combat

268Matches
42%Win rate
0.69Avg K/D
83.0ADR
37%Headshot %

Clutches & streaks

47%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage633%0.8414.2
Cache475%1.3813.8
Anubis333%0.9915.3
Inferno250%0.8614.0
Ancient20%0.9417.0
Dust220%0.9417.5
Nuke10%1.0617.0

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.

17.3%Headshot accuracy
31.5%Accuracy (enemy spotted)
31.3%Spray accuracy
76.7%Counter-strafing
8.5°Preaim
572msReaction time
53.6%T opening success
43.1%CT opening success
0.59Enemies flashed / flash
8.2%Flash assists
10.62HE damage / grenade
12.38Flashes / match

Recommended for you

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–100.0316%19 Sept
mirage8–13-0.0615%19 Sept
nuke4–13-0.0818%19 Sept
office13–70.0220%19 Sept
cache13–80.0719%19 Sept
inferno13–60.0516%15 Sept
inferno4–2-0.060%15 Sept
dust29–13-0.0110%15 Sept
cache11–130.0118%15 Sept
cache4–130.0218%14 Sept
shelter13–80.0215%13 Sept
anubis12–120.0119%13 Sept
dust26–13-0.0432%13 Sept
office12–120.0816%13 Sept
ancient7–13-0.0116%11 Sept
dust28–13-0.0414%10 Sept
anubis13–9-0.0211%10 Sept
cache13–40.0616%5 Sept
inferno13–50.1122%5 Sept
vertigo10–130.0520%5 Sept
office13–7-0.0224%5 Sept
overpass13–60.1019%5 Sept
mirage8–130.0116%5 Sept
dust23–13-0.0812%5 Sept
anubis13–60.1117%4 Sept
office13–9-0.0529%4 Sept
dust24–130.0519%4 Sept
inferno13–100.0916%4 Sept
office13–80.0512%31 Aug
inferno12–120.0714%31 Aug
nuke13–100.0212%22 Aug
cache13–5-0.0110%18 Aug
cache3–130.0213%18 Aug
mirage6–13-0.0413%18 Aug
cache13–60.1614%15 Aug
inferno12–120.047%14 Aug
office12–120.0123%14 Aug
inferno13–70.0720%12 Aug
ancient11–130.0316%12 Aug
mirage7–13-0.0013%11 Aug
cache11–00.0514%11 Aug
mirage12–160.0419%9 Aug
cache13–100.0115%9 Aug
dust213–160.0311%9 Aug
ancient8–130.0225%5 Aug
overpass12–120.047%5 Aug
inferno13–11-0.0012%5 Aug
anubis7–130.058%5 Aug
dust22–130.0319%2 Aug
ancient0–13-0.2020%2 Aug
train9–13-0.0533%1 Aug
inferno13–30.0230%1 Aug
shelter13–60.0416%31 Jul
overpass13–70.058%31 Jul
anubis7–13-0.0010%31 Jul
fachwerk13–50.0815%31 Jul
mirage4–13-0.0219%26 Jul
ancient6–13-0.0210%26 Jul
anubis10–13-0.0112%26 Jul
nuke10–13-0.009%25 Jul
mirage16–14-0.0412%25 Jul
cache6–13-0.0420%25 Jul
mirage13–20.0214%25 Jul
dust24–2-0.0610%25 Jul
vertigo1–13-0.0431%25 Jul
mirage9–13-0.0118%24 Jul
inferno13–110.0515%24 Jul
overpass2–130.0321%24 Jul
anubis13–50.0416%24 Jul
ancient3–13-0.0529%24 Jul
overpass13–50.028%21 Jul
office11–130.0319%21 Jul
inferno11–130.0321%21 Jul
train1–13-0.0238%21 Jul
anubis7–13-0.0115%20 Jul
cache5–13-0.0318%20 Jul
overpass10–13-0.049%20 Jul
mirage5–130.0011%20 Jul
dust26–130.0120%20 Jul
boulder13–40.0610%20 Jul
nuke12–120.0917%20 Jul
cache1–13-0.0515%19 Jul
train13–30.1117%19 Jul
cache11–13-0.0313%16 Jul
inferno13–90.0414%14 Jul
vertigo13–50.0111%14 Jul
mirage3–13-0.0517%14 Jul
anubis2–13-0.099%14 Jul
nuke8–13-0.0318%14 Jul
dust28–13-0.0418%13 Jul
ancient12–12-0.0515%13 Jul
dust27–30.029%13 Jul
vertigo9–130.0117%13 Jul
cache3–13-0.028%13 Jul
overpass4–13-0.0610%11 Jul
cache13–40.1228%11 Jul
nuke13–10.0517%11 Jul
ancient13–80.0413%11 Jul
vertigo13–6-0.0312%11 Jul
mirage13–5-0.0615%11 Jul

Match data via Leetify.

Recent teammates

Milestones

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