Wrang

Wrang — CS2 Stats

DK76561198125794310[U:1:165528582]Steam profile ↗✓ No bans

1,843Tracked matches47%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
FaceitLevel 10 · 2,064 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Share this profile

CSDB.GGWrangFACEITLevel 10 · 2,064 ELOSTANDINGTop 12.4% of rankedcsdb.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

Aim84
Positioning63
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateWLWLWLWWWL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −6.7pp headshot accuracy · +27ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 628ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 595ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • 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 Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim8.4
Utility6.0
Positioning6.3
Opening Duels4.0
Clutch4.0

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

Twistzz

Plays most like Twistzz 96% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 12.7° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 563ms 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

Aim8.4
Positioning6.3
Utility6.0
Mechanics7.1
Opening Duels3.6
Win Impact3.9

Composite 6.5/10 (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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time568ms−56ms
first ⅓ avg 624ms → last ⅓ avg 568ms
Headshot accuracy27.4%+3.6%
first ⅓ avg 23.9% → last ⅓ avg 27.4%

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

0.18Best match rating · 9–6 · vertigo, 28 Feb →
46%Best headshot accuracy · 13–4 · nuke, 4 Sept →
406msFastest reaction time · 13–7 · inferno, 8 Sept →
13–0Biggest win · nuke, 27 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–10In matches decided by ≤2 rounds
18Overtime games

Map breakdown

anubisBest map · 80% over 5vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB3015–1550%0.01
nukeA2112–957%0.03
ancientB189–950%0.01
cacheC73–443%0.00
vertigoD62–433%0.05
anubisS54–180%0.03
dust2—41–325%0.06
overpass—43–175%-0.01
train—31–233%0.01
mirage—20–20%0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,725Matches
50%Win rate
1.24Avg K/D
82.2ADR
53%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient42552%1.2818.4
Nuke33961%1.3018.3
Inferno33647%1.2117.0
Anubis14541%1.1317.3
Vertigo12850%1.3418.0
Train8936%1.1517.1
Overpass8153%1.2617.0
Dust25838%1.0816.3

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.

26.5%Headshot accuracy
38.8%Accuracy (enemy spotted)
43.9%Spray accuracy
81.9%Counter-strafing
12.7°Preaim
563msReaction time
39.5%T opening success
49.2%CT opening success
0.62Enemies flashed / flash
5.2%Flash assists
11.66HE damage / grenade
5.50Flashes / 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 12.715° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–100.0525%25 Oct →
cache0–13-0.0418%25 Oct →
vertigo13–20.1331%20 Oct →
cache14–16-0.0221%15 Oct →
cache13–9-0.0123%14 Oct →
ancient12–160.1025%13 Oct →
anubis13–60.0718%19 Sept →
cache13–80.0819%19 Sept →
anubis13–110.0221%19 Sept →
ancient16–190.0322%19 Sept →
vertigo7–130.0119%17 Sept →
nuke13–40.0223%16 Sept →
inferno13–70.0120%8 Sept →
anubis13–20.1027%7 Sept →
inferno3–13-0.0425%4 Sept →
nuke13–40.0446%4 Sept →
nuke5–13-0.0436%4 Sept →
inferno4–13-0.0629%3 Sept →
vertigo10–130.0236%3 Sept →
inferno13–110.0029%1 Sept →
ancient11–13-0.0427%26 Aug →
inferno9–13-0.0321%22 Aug →
cache4–13-0.0541%21 Aug →
ancient13–40.0930%17 Aug →
nuke18–22-0.0234%15 Aug →
inferno22–200.0323%15 Aug →
cache13–70.0220%15 Aug →
vertigo7–130.0133%12 Aug →
inferno11–130.0529%11 Aug →
vertigo14–16-0.0129%10 Aug →
inferno13–60.0228%27 Jul →
nuke16–140.0734%24 Jul →
nuke4–13-0.0443%24 Jul →
ancient4–13-0.0619%24 Jul →
ancient6–13-0.0526%22 Jul →
inferno13–11-0.0217%18 Jul →
nuke13–60.0744%13 Jul →
nuke13–60.0224%13 Jul →
inferno9–13-0.0242%9 Jul →
dust23–60.0944%9 Jul →
cache13–160.0222%9 Jul →
nuke14–160.0218%8 Jul →
inferno13–70.0226%7 Jul →
nuke10–130.0317%7 Jul →
ancient19–150.0234%7 Jul →
ancient13–20.0315%7 Jul →
inferno5–130.0238%7 Jul →
inferno6–130.0840%30 Jun →
nuke16–13-0.0120%30 Jun →
inferno3–13-0.0619%13 Jun →
inferno13–160.0325%6 Jun →
nuke14–160.0732%7 May →
inferno6–13-0.0029%28 Apr →
inferno9–130.0330%6 Apr →
ancient7–13-0.0132%10 Mar →
inferno2–13-0.0316%9 Mar →
inferno13–110.0625%1 Mar →
inferno13–30.1228%28 Feb →
inferno13–100.0223%28 Feb →
vertigo9–60.1825%28 Feb →
nuke11–13-0.0224%13 Feb →
inferno16–130.0123%12 Feb →
inferno9–13-0.0418%11 Feb →
inferno13–90.0127%27 Jan →
inferno13–50.0317%27 Jan →
ancient7–13-0.0416%27 Jan →
ancient16–130.0622%27 Jan →
nuke13–00.0919%27 Jan →
overpass13–11-0.0219%23 Jan →
ancient8–13-0.0331%22 Jan →
dust211–13-0.0418%16 Jan →
ancient13–6-0.0628%16 Jan →
nuke16–120.0232%16 Jan →
inferno8–13-0.057%16 Jan →
mirage6–130.0530%16 Jan →
overpass9–13-0.0224%15 Jan →
inferno13–80.0226%13 Jan →
anubis13–10-0.0622%12 Jan →
inferno13–11-0.0134%12 Jan →
nuke13–80.0326%11 Jan →
ancient13–40.1230%11 Jan →
anubis11–130.0224%11 Jan →
nuke15–150.0720%11 Jan →
dust213–30.1334%10 Jan →
ancient13–11-0.0225%7 Jan →
inferno9–130.0232%7 Jan →
mirage5–13-0.0519%7 Jan →
nuke13–80.0742%6 Jan →
dust211–130.0542%6 Jan →
train8–13-0.0020%12 Dec →
ancient13–10-0.0417%9 Dec →
train16–120.0428%6 Dec →
nuke13–70.0828%5 Dec →
nuke5–130.0018%3 Dec →
ancient13–90.0316%3 Dec →
ancient10–13-0.053%2 Dec →
overpass13–11-0.0113%2 Dec →
overpass13–80.0118%25 Nov →
train5–130.0118%21 Nov →
inferno13–11-0.0127%20 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.