Wi-Fi | WYFANG.NET

Wi-Fi | WYFANG.NET — CS2 Stats

KP76561198049848641[U:1:89582913]Steam profile ↗✓ No bans

3,854Tracked matches50%Win rate2021Tracked since
68,328Hours in CS319Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating25,685Top 10% of 215,558 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#16224 of 261660 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (9 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: 25,685 +5,029 1 Sept – 6 Nov · 12 days played
20,65425,685peak 25,6851 Sept6 Nov
25,848Peak Premier in tracked matches
20Days played since 2026-09-01

Premier CS Rating

  • At peak — 25,685
  • Next: Gold band at 30,000 — 4,315 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,631), 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 5 medianLevel 6 medianvs Level 6
Headshot rate68.0%43.8%44.8%above
Shot accuracy49.1%12.0%12.4%above
Kill/death ratio6.761.021.03above
Match win rate90.1%44.7%45.2%above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGWi-Fi | WYFANG.NETFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER25,685 · Red bandcsdb.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

Aim80
Positioning64
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateWLWLLLWWTW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −3.7pp headshot accuracy · −21ms 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 -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 516ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 498ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 508ms

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 (+2.3 against its own average).

Aim8.0
Utility4.9
Positioning6.4
Opening Duels3.4
Clutch1.8

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.0
Positioning6.4
Utility4.9
Mechanics6.2
Opening Duels4.2
Win Impact5.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time505ms−23ms
first ⅓ avg 528ms → last ⅓ avg 505ms
Headshot accuracy17.9%−2.7%
first ⅓ avg 20.6% → last ⅓ avg 17.9%

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

0.13Best match rating · 13–8 · shelter, 8 Nov →
39%Best headshot accuracy · 13–8 · inferno, 8 Nov →
352msFastest reaction time · 9–3 · office, 1 Nov →
13–3Biggest win · anubis, 13 Nov →

Across the last 100 tracked matches.

Highlights

9Longest win streak
10–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 80% over 10infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C208–1240%0.02
infernoC145–936%0.02
mirageC135–838%0.01
officeA117–464%0.01
ancientB115–645%0.02
cacheS108–280%0.05
anubisA85–363%0.02
nukeA74–357%0.01
train—20–20%0.06
shelter—11–0100%0.13
vertigo—10–10%-0.05
italy—10–10%0.01
fachwerk—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,790,229Lifetime kills
6.76K/D · Top 1% of Level 5 players
173,184Matches
90.1%Match win rate · Top 1% of Level 5 players
68.0%Headshot % · Top 5% of Level 5 players
49.1%Shot accuracy · Top 1% of Level 5 players
785,401MVPs
68,111Hours (in match)
186,718Bombs planted
58,264Bombs defused

Most-used weapons

AK-471,298,608
M4A4 / M4A1-S1,066,157
AWP881,000
Glock-18208,603
SSG 08115,893
MP983,574
MAC-1064,956
P25064,874

Lifetime map wins

398,368dust2
316,256inferno
135,014nuke
93,975vertigo
82,104dust
77,334piranesi
75,561prodigy
74,294train

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

Faceit stats

Combat

20Matches
70%Win rate
1.25Avg K/D
83.0ADR
51%Headshot %

Clutches & streaks

29%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2100%1.5015.5
Dust2250%0.7913.5
Anubis250%1.0819.5
Nuke1100%1.2823.0
Inferno1100%2.1415.0

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.

17.7%Headshot accuracy
38.5%Accuracy (enemy spotted)
38.2%Spray accuracy
77.7%Counter-strafing
9.5°Preaim
516msReaction time
53.3%T opening success
40.2%CT opening success
0.65Enemies flashed / flash
6.2%Flash assists
10.45HE damage / grenade
6.77Flashes / match

Recommended for you

Spend your practice time on Inferno

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–110.0112%14 Nov →
office7–13-0.0314%14 Nov →
office13–7-0.0432%14 Nov →
mirage7–130.0023%14 Nov →
anubis6–13-0.0318%14 Nov →
inferno10–13-0.0012%13 Nov →
anubis13–3-0.038%13 Nov →
anubis13–5-0.0515%11 Nov →
train12–120.0815%11 Nov →
office13–30.057%9 Nov →
shelter13–80.1324%8 Nov →
inferno13–80.0839%8 Nov →
anubis8–13-0.0223%8 Nov →
dust213–6-0.0225%8 Nov →
nuke13–90.0914%8 Nov →
dust24–13-0.0212%7 Nov →
nuke5–130.0114%7 Nov →
mirage9–130.0911%7 Nov →
train7–130.0516%7 Nov →
dust213–11-0.0115%7 Nov →
dust29–13-0.0212%6 Nov →
cache13–9-0.0117%6 Nov →
ancient13–70.0413%6 Nov →
vertigo4–13-0.0526%5 Nov →
inferno5–130.0218%5 Nov →
anubis7–130.0723%4 Nov →
dust213–90.1018%4 Nov →
dust212–120.0722%4 Nov →
mirage10–13-0.0612%4 Nov →
office13–110.0220%1 Nov →
office2–13-0.0628%1 Nov →
office13–4-0.0019%1 Nov →
office9–30.0212%1 Nov →
office13–90.0513%1 Nov →
cache13–40.0117%31 Oct →
inferno15–150.0920%31 Oct →
mirage13–9-0.0218%31 Oct →
nuke13–110.0136%31 Oct →
dust24–130.0233%31 Oct →
ancient8–13-0.0419%31 Oct →
anubis13–60.0527%31 Oct →
mirage13–80.0922%31 Oct →
inferno15–150.0826%31 Oct →
ancient13–90.0230%31 Oct →
mirage8–130.0129%31 Oct →
dust213–160.0627%30 Oct →
mirage8–130.0120%30 Oct →
anubis13–70.1318%30 Oct →
cache13–70.0827%30 Oct →
dust215–150.0219%30 Oct →
cache13–60.1226%30 Oct →
dust213–100.1217%30 Oct →
nuke5–11-0.0221%30 Oct →
dust213–50.0328%30 Oct →
dust213–110.0112%30 Oct →
anubis13–70.0214%30 Oct →
inferno13–100.0013%30 Oct →
nuke13–4-0.0333%30 Oct →
mirage13–30.0713%29 Oct →
nuke16–130.0533%29 Oct →
inferno13–6-0.039%29 Oct →
mirage13–60.0716%29 Oct →
ancient11–130.0319%29 Oct →
dust211–13-0.0114%29 Oct →
mirage2–13-0.0610%29 Oct →
inferno13–8-0.0216%29 Oct →
cache13–110.0012%29 Oct →
inferno13–60.0121%29 Oct →
ancient9–130.0316%29 Oct →
dust26–13-0.0221%28 Oct →
ancient4–13-0.0729%28 Oct →
nuke14–16-0.0327%28 Oct →
dust29–13-0.059%28 Oct →
inferno11–130.1027%28 Oct →
dust216–120.0820%28 Oct →
mirage11–13-0.0013%28 Oct →
inferno9–13-0.0026%27 Oct →
ancient13–30.1029%27 Oct →
inferno12–12-0.0025%27 Oct →
dust24–130.0023%27 Oct →
office10–130.1125%27 Oct →
ancient13–30.0617%27 Oct →
inferno5–13-0.0220%27 Oct →
dust210–13-0.0519%27 Oct →
dust29–130.0617%27 Oct →
cache13–110.0325%27 Oct →
ancient13–9-0.0022%27 Oct →
cache13–60.0828%27 Oct →
mirage13–11-0.0320%25 Oct →
inferno10–13-0.0220%25 Oct →
mirage6–13-0.0217%25 Oct →
italy9–130.0115%24 Oct →
office4–13-0.0328%24 Oct →
cache7–130.0629%24 Oct →
ancient10–13-0.0024%21 Oct →
cache13–110.029%21 Oct →
cache12–120.0923%21 Oct →
dust213–110.048%19 Oct →
fachwerk13–70.0411%19 Oct →
ancient9–130.0420%18 Oct →

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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