^らn☆fu WWG1WGA

^らn☆fu WWG1WGA — CS2 Stats

GB76561197960718626[U:1:452898]Steam profile ↗✓ No bans

2,807Tracked matches30%Win rate2020Tracked since
6,999Hours in CS
CSDB Rating4.4 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+19Tracked matches · now 2,807
−2.4ppWin rate · 32.0% → 29.6%

Rating over time

50Days played since 2026-05-21

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

Performance scores

Aim46
Positioning39
Utility76

0–100 skill scores via Leetify.

Recent form

COLD28–61–11Last 10028%Win rateWLWLLLWLTL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −1.3pp headshot accuracy · +30ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 594ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 674ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 659ms

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 (+4.7 against its own average).

Aim4.6
Utility7.6
Positioning3.9
Opening Duels0.0
Clutch0.0

Strong T-side openerHigh utility contribution

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 54% 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

CT openings. Opening success drops from 43% on T to 19% on CT — first contacts on the defending side are being lost.

Reaction time. 636ms 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

Aim4.6
Positioning3.9
Utility7.6
Mechanics6.3
Opening Duels1.6
Win Impact0.0

Composite 4.4/10 (Developing), 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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time637ms−71ms
first ⅓ avg 708ms → last ⅓ avg 637ms
Headshot accuracy16.3%−0.0%
first ⅓ avg 16.3% → last ⅓ avg 16.3%

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

0.09Best match rating · 13–5 · dust2, 20 Aug →
38%Best headshot accuracy · 3–13 · dust2, 2 Aug →
453msFastest reaction time · 9–13 · dust2, 12 Sept →
13–2Biggest win · dust2, 20 Aug →

Across the last 100 tracked matches.

Highlights

2Longest win streak
3–8In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 3 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
dust2D9727–7028%-0.02
cache—21–150%0.02
ancient—10–10%-0.00

Across the last 100 tracked matches.

Lifetime stats

272,415Lifetime kills
0.93K/D
15,635Matches
40.5%Match win rate
39.2%Headshot %
16.1%Shot accuracy · Top 25% of tracked players
24,846MVPs
6,999Hours (in match)
18,858Bombs planted
3,460Bombs defused

Most-used weapons

AWP35,862
P9026,057
AK-4720,033
SG 55316,500
MP716,391
XM101412,734
Glock-1811,660

Lifetime map wins

143,736dust2
3,202inferno
1,132nuke
875train
767cbble
376vertigo
237office
200dust

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

Faceit stats

Combat

27Matches
44%Win rate
0.97Avg K/D
59.7ADR
32%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

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.

15.8%Headshot accuracy
29.2%Accuracy (enemy spotted)
36.2%Spray accuracy
78.2%Counter-strafing
11.6°Preaim
636msReaction time
43.1%T opening success
18.7%CT opening success
0.60Enemies flashed / flash
5.0%Flash assists
11.74HE damage / grenade
24.56Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 18.6625% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–70.0211%29 Oct →
dust26–13-0.0521%29 Oct →
dust213–10-0.0415%25 Oct →
dust28–13-0.0511%24 Oct →
dust25–13-0.0416%24 Oct →
dust28–13-0.0512%17 Oct →
dust213–80.0628%17 Oct →
dust28–13-0.0415%17 Oct →
dust212–12-0.0112%13 Oct →
dust210–130.0211%6 Oct →
dust211–130.0328%2 Oct →
dust211–13-0.0413%2 Oct →
dust23–13-0.034%1 Oct →
dust29–13-0.073%1 Oct →
dust210–130.036%26 Sept →
dust213–40.0419%26 Sept →
dust22–13-0.1122%24 Sept →
dust213–9-0.0022%24 Sept →
dust29–130.0123%17 Sept →
dust213–6-0.0324%17 Sept →
dust29–13-0.0513%16 Sept →
dust210–13-0.0217%16 Sept →
dust28–130.0126%15 Sept →
dust29–130.0023%15 Sept →
dust29–13-0.0810%12 Sept →
dust213–10-0.0210%8 Sept →
dust213–10-0.0118%8 Sept →
dust211–13-0.0413%24 Aug →
dust212–12-0.0413%22 Aug →
dust212–120.0318%22 Aug →
dust213–2-0.0414%20 Aug →
dust29–13-0.0611%20 Aug →
dust213–50.0938%20 Aug →
dust213–110.0325%15 Aug →
dust29–13-0.0120%9 Aug →
dust212–120.0018%5 Aug →
dust23–13-0.0038%2 Aug →
dust210–130.0518%2 Aug →
dust212–12-0.0513%27 Jul →
dust23–13-0.0515%21 Jul →
dust26–130.0020%21 Jul →
dust213–5-0.0410%19 Jul →
dust28–130.0010%15 Jul →
dust213–7-0.0115%6 Jul →
dust22–13-0.0725%4 Jul →
dust22–13-0.1011%4 Jul →
dust212–12-0.063%30 Jun →
dust25–130.0221%30 Jun →
dust213–100.0312%30 Jun →
dust213–110.0622%28 Jun →
dust24–13-0.0525%25 Jun →
dust22–13-0.0625%25 Jun →
dust213–7-0.0022%25 Jun →
dust211–130.0222%13 Jun →
dust25–13-0.047%13 Jun →
dust211–13-0.066%13 Jun →
dust213–8-0.0227%11 Jun →
dust213–30.025%10 Jun →
dust29–130.008%9 Jun →
dust213–11-0.0817%9 Jun →
dust210–130.0212%9 Jun →
dust28–13-0.0810%9 Jun →
dust212–120.0315%9 Jun →
dust28–13-0.0516%7 Jun →
dust25–13-0.0119%5 Jun →
dust25–13-0.0122%5 Jun →
dust26–130.0018%3 Jun →
dust212–12-0.035%2 Jun →
dust213–9-0.028%2 Jun →
cache7–13-0.0214%2 Jun →
dust29–130.0119%1 Jun →
cache13–90.0617%1 Jun →
dust22–13-0.0928%31 May →
dust213–60.0318%31 May →
dust213–4-0.0326%31 May →
dust27–13-0.0714%30 May →
dust212–12-0.0418%30 May →
dust22–13-0.0613%30 May →
dust23–13-0.0620%29 May →
dust28–13-0.0219%29 May →
dust25–130.0624%29 May →
dust24–13-0.0713%29 May →
dust213–4-0.0415%28 May →
dust28–13-0.0618%27 May →
dust213–10-0.099%27 May →
dust25–130.0526%26 May →
dust211–130.0520%25 May →
dust213–60.025%25 May →
dust27–13-0.0613%25 May →
dust210–13-0.019%24 May →
dust212–120.0214%24 May →
dust213–10-0.0223%24 May →
dust28–13-0.078%24 May →
ancient7–13-0.0019%24 May →
dust212–12-0.0415%22 May →
dust211–13-0.0113%22 May →
dust210–130.0618%22 May →
dust29–13-0.0424%21 May →
dust213–8-0.0214%21 May →
dust211–130.0121%21 May →

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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