Wolfnox

Wolfnox — CS2 Stats

DK76561198142956160[U:1:182690432]Steam profile ↗✓ No bans

496Tracked matches30%Win rate2025Tracked since
CSDB Rating3.0 LearningSupport
Premier CS Rating2,238Grey band · top ~90.5% of ranked players (population est.)
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (8 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: 2,238 +62 22 Sept – 18 Oct · 19 days played
1,5122,664peak 2,66422 Sept18 Oct
2,826Peak Premier in tracked matches
24Days played since 2026-09-22

Premier CS Rating

  • 426 below peak (2,664)
  • +62 over 30 days · steady
  • Next: Light Blue band at 5,000 — 2,762 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGWolfnoxPREMIER2,238 · Grey 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

Aim37
Positioning35
Utility55

0–100 skill scores via Leetify.

Recent form

COLD36–60–4Last 10036%Win rateLLLLWLWWLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +0.5pp headshot accuracy · −21ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 672ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 621ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 631ms

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 (+2.9 against its own average).

Aim3.7
Utility5.5
Positioning3.5
Opening Duels0.0
Clutch1.6

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 69% 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. 663ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.7
Positioning3.5
Utility5.5
Mechanics4.0
Opening Duels0.9
Win Impact0.0

Composite 3.0/10 (Learning), 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 time673ms+20ms
first ⅓ avg 653ms → last ⅓ avg 673ms
Headshot accuracy13.0%+0.9%
first ⅓ avg 12.1% → last ⅓ avg 13.0%

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

0.24Best match rating · 9–3 · inferno, 5 Oct →
28%Best headshot accuracy · 2–13 · mirage, 30 Sept →
344msFastest reaction time · 3–13 · dust2, 3 Oct →
13–2Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
5–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 71% over 14dust2Weakest map · 6% over 17
MapGradePlayedRecordWin rateAvg rating
infernoC219–1243%-0.02
mirageD185–1328%-0.05
dust2D171–166%-0.04
anubisS1410–471%-0.03
nukeD124–833%-0.06
cacheC83–538%-0.03
ancient—41–325%-0.02
office—32–167%-0.03
vertigo—21–150%-0.04
train—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (6% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

52Matches
42%Win rate
0.73Avg K/D
64.9ADR
40%Headshot %

Clutches & streaks

28%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21747%0.7012.1
Mirage1127%0.8213.0
Anubis1060%0.7112.1
Inferno933%0.7011.3
Nuke250%1.2621.0
Vertigo10%0.539.0
Ancient1100%0.386.0
Cache10%0.132.0

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.

13.7%Headshot accuracy
33.5%Accuracy (enemy spotted)
33.9%Spray accuracy
67.9%Counter-strafing
11.7°Preaim
663msReaction time
37.6%T opening success
29.1%CT opening success
0.51Enemies flashed / flash
6.4%Flash assists
6.84HE damage / grenade
11.27Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.7101% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.5619% — below the 40% mark we flag

Spend your practice time on Dust 2

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

6% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–130.030%18 Oct →
inferno5–13-0.0910%18 Oct →
nuke2–13-0.124%17 Oct →
dust22–13-0.0821%17 Oct →
inferno13–4-0.0313%17 Oct →
dust210–13-0.0518%17 Oct →
inferno13–110.0112%14 Oct →
anubis16–12-0.0410%14 Oct →
dust29–130.0424%14 Oct →
dust21–60.0622%14 Oct →
mirage0–3-0.020%13 Oct →
office9–13-0.0413%13 Oct →
office13–8-0.0412%13 Oct →
mirage2–13-0.0922%12 Oct →
mirage2–13-0.065%12 Oct →
inferno4–13-0.0718%12 Oct →
mirage3–13-0.1017%12 Oct →
nuke7–13-0.027%11 Oct →
anubis13–9-0.0315%11 Oct →
dust26–13-0.0320%10 Oct →
mirage13–7-0.018%10 Oct →
mirage3–13-0.0215%10 Oct →
office13–7-0.0215%10 Oct →
vertigo13–3-0.0115%10 Oct →
nuke1–13-0.077%10 Oct →
nuke14–16-0.1011%9 Oct →
cache16–130.0613%9 Oct →
dust29–13-0.0222%9 Oct →
inferno4–120.019%8 Oct →
anubis3–13-0.0613%8 Oct →
cache8–13-0.077%8 Oct →
inferno7–13-0.0719%8 Oct →
nuke12–12-0.0611%8 Oct →
nuke13–90.0122%8 Oct →
inferno13–60.0515%8 Oct →
anubis13–3-0.0719%8 Oct →
inferno3–13-0.035%8 Oct →
inferno1–13-0.106%8 Oct →
cache2–13-0.0621%8 Oct →
mirage2–13-0.0724%7 Oct →
dust26–13-0.046%7 Oct →
anubis13–70.0412%7 Oct →
train3–13-0.0215%7 Oct →
inferno13–100.0010%7 Oct →
dust25–13-0.084%6 Oct →
dust211–13-0.0519%6 Oct →
cache13–6-0.0610%5 Oct →
inferno13–6-0.027%5 Oct →
inferno9–30.2416%5 Oct →
mirage12–12-0.0515%4 Oct →
mirage6–13-0.117%4 Oct →
mirage13–5-0.0210%4 Oct →
cache6–13-0.047%3 Oct →
cache13–20.0419%3 Oct →
nuke7–13-0.0215%3 Oct →
dust23–13-0.1018%3 Oct →
inferno13–100.0010%3 Oct →
anubis13–4-0.044%3 Oct →
nuke13–2-0.0527%2 Oct →
anubis6–3-0.1120%2 Oct →
mirage7–13-0.037%2 Oct →
ancient8–13-0.0514%2 Oct →
anubis3–13-0.0710%2 Oct →
vertigo6–9-0.074%2 Oct →
inferno6–9-0.0816%2 Oct →
nuke6–9-0.146%2 Oct →
inferno9–7-0.1012%2 Oct →
nuke16–140.037%2 Oct →
mirage13–60.0316%30 Sept →
mirage2–13-0.0828%30 Sept →
anubis13–100.0122%30 Sept →
dust24–13-0.068%30 Sept →
mirage4–13-0.024%29 Sept →
mirage16–14-0.0313%29 Sept →
inferno8–13-0.0415%29 Sept →
inferno7–13-0.019%28 Sept →
mirage3–13-0.1111%28 Sept →
nuke13–9-0.0513%28 Sept →
anubis13–80.029%28 Sept →
inferno6–13-0.0710%28 Sept →
inferno3–13-0.0110%27 Sept →
cache3–120.0315%26 Sept →
anubis13–4-0.039%26 Sept →
mirage4–13-0.0519%26 Sept →
inferno12–12-0.0315%25 Sept →
nuke4–13-0.1310%25 Sept →
dust28–13-0.077%25 Sept →
anubis6–13-0.0713%25 Sept →
dust211–13-0.0714%25 Sept →
anubis13–7-0.0018%25 Sept →
cache5–13-0.128%25 Sept →
dust24–13-0.0610%25 Sept →
dust213–11-0.108%25 Sept →
dust212–12-0.0212%24 Sept →
ancient2–130.0316%24 Sept →
ancient13–40.038%23 Sept →
ancient4–13-0.070%23 Sept →
dust26–13-0.0418%23 Sept →
mirage13–8-0.078%22 Sept →
inferno13–40.0516%22 Sept →

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 →

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