Halfox ♔

Halfox ♔ — CS2 Stats

FR76561198415325518[U:1:455059790]Steam profile ↗✓ No bans

625Tracked matches55%Win rate2020Tracked since
615Hours in CS
CSDB Rating6.3 SolidPositional Player
Premier CS Rating16,349Purple band · top ~23% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Apr 2026 (210 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: 16,349 -999 17 Feb – 9 Apr · 24 days played
13,70617,727peak 17,72717 Feb9 Apr
18,103Peak Premier in tracked matches
25Days played since 2026-02-17

Premier CS Rating

  • 1,378 below peak (17,727)
  • +199 over 30 days · steady
  • Next: Pink band at 20,000 — 3,651 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate46.6%44.4%46.9%meets
Shot accuracy8.9%11.9%13.0%4.1% short
Kill/death ratio1.041.031.080.04 short
Match win rate45.7%45.2%46.7%1.0% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHalfox ♔PREMIER16,349 · Purple 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

Aim77
Positioning61
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLLWWWWLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +3.4pp headshot accuracy · +45ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 655ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 668ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 645ms

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 (+1.1 against its own average).

Aim7.7
Utility3.4
Positioning6.1
Opening Duels5.6

Limited utility dependence

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

s1mple

Plays most like s1mple 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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.

Reaction time. 638ms 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

Aim7.7
Positioning6.1
Utility3.4
Mechanics8.3
Opening Duels3.8
Win Impact6.7

Composite 6.3/10 (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 time638ms+9ms
first ⅓ avg 630ms → last ⅓ avg 638ms
Headshot accuracy18.1%+1.2%
first ⅓ avg 17.0% → last ⅓ avg 18.1%

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

0.17Best match rating · 13–3 · inferno, 10 Mar →
32%Best headshot accuracy · 13–10 · dust2, 22 Feb →
438msFastest reaction time · 6–13 · ancient, 8 Mar →
13–0Biggest win · ancient, 10 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
3–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 67% over 15ancientWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
ancientC207–1335%0.03
dust2B2010–1050%0.02
infernoB189–950%0.02
overpassS1510–567%0.04
anubisC114–736%0.02
nukeA85–363%0.04
mirageA85–363%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,230Lifetime kills
1.04K/D · Top 50% of Purple band
1,408Matches
45.7%Match win rate · Top 50% of Purple band
46.6%Headshot % · Top 50% of Purple band
8.9%Shot accuracy
3,662MVPs
615Hours (in match)
1,740Bombs planted
352Bombs defused

Most-used weapons

Lifetime map wins

2,102inferno
1,667dust2
898vertigo
841nuke
217train
46cbble
16italy
12piranesi

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.0%Headshot accuracy
36.7%Accuracy (enemy spotted)
39.6%Spray accuracy
87.5%Counter-strafing
9.3°Preaim
638msReaction time
38.5%T opening success
52.1%CT opening success
0.47Enemies flashed / flash
4.5%Flash assists
9.10HE damage / grenade
2.87Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4704 — below the 0.5 mark we flag

    Grenade Lineups →
  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 38.5286% — below the 40% mark we flag

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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–130.0518%9 Apr →
anubis5–13-0.0718%9 Apr →
dust29–130.0412%9 Apr →
dust213–50.0324%9 Apr →
ancient13–20.0619%3 Apr →
anubis13–60.1025%3 Apr →
anubis13–40.0220%3 Apr →
ancient3–130.0319%1 Apr →
dust213–70.0324%1 Apr →
nuke4–13-0.0722%31 Mar →
ancient13–70.0617%31 Mar →
overpass7–13-0.0713%31 Mar →
nuke13–70.1023%31 Mar →
overpass13–5-0.0017%31 Mar →
overpass13–100.0214%30 Mar →
ancient13–30.0413%29 Mar →
dust210–13-0.0417%29 Mar →
nuke13–50.1115%27 Mar →
mirage13–50.0622%27 Mar →
ancient10–130.0215%27 Mar →
anubis8–13-0.0114%27 Mar →
inferno9–13-0.0419%26 Mar →
inferno7–13-0.0320%25 Mar →
dust213–30.0420%25 Mar →
inferno13–60.0417%25 Mar →
overpass13–50.0426%25 Mar →
overpass7–130.0024%24 Mar →
mirage15–150.0111%24 Mar →
mirage6–0-0.0824%22 Mar →
dust28–13-0.0210%12 Mar →
nuke13–2-0.0115%12 Mar →
mirage13–70.0422%12 Mar →
overpass13–70.0210%12 Mar →
anubis13–40.1315%12 Mar →
ancient3–130.0216%12 Mar →
inferno9–130.0117%10 Mar →
dust213–100.0221%10 Mar →
mirage6–13-0.0114%10 Mar →
dust213–30.1616%10 Mar →
anubis10–13-0.0118%10 Mar →
inferno13–100.0113%10 Mar →
ancient13–00.1427%10 Mar →
inferno13–30.1727%10 Mar →
overpass13–60.0617%9 Mar →
dust213–90.0730%9 Mar →
ancient13–70.0918%9 Mar →
ancient6–13-0.0719%8 Mar →
inferno11–13-0.0111%8 Mar →
inferno13–80.0916%8 Mar →
mirage11–13-0.067%8 Mar →
inferno13–30.1424%8 Mar →
dust215–150.0320%8 Mar →
overpass13–30.1114%8 Mar →
overpass13–90.0820%8 Mar →
dust213–70.0414%8 Mar →
inferno5–13-0.0515%5 Mar →
ancient6–13-0.0213%4 Mar →
mirage13–60.0311%4 Mar →
ancient8–130.0214%3 Mar →
overpass13–90.1021%3 Mar →
nuke11–130.0822%3 Mar →
dust213–70.0720%3 Mar →
inferno1–130.0315%28 Feb →
anubis11–130.0713%28 Feb →
inferno4–130.0529%28 Feb →
dust210–13-0.049%28 Feb →
mirage13–90.0311%28 Feb →
ancient14–16-0.0216%28 Feb →
inferno13–11-0.0121%28 Feb →
nuke8–130.0228%27 Feb →
ancient6–130.0616%27 Feb →
dust27–13-0.0518%27 Feb →
dust24–13-0.0314%27 Feb →
overpass8–130.019%27 Feb →
ancient2–13-0.0712%27 Feb →
overpass11–130.0520%27 Feb →
inferno13–50.0620%27 Feb →
overpass8–80.0828%24 Feb →
inferno9–7-0.0721%24 Feb →
inferno9–13-0.0513%23 Feb →
ancient13–90.1210%23 Feb →
overpass13–50.0211%23 Feb →
anubis12–40.0519%23 Feb →
inferno13–60.0812%22 Feb →
nuke13–60.0120%22 Feb →
dust26–130.0128%22 Feb →
anubis8–13-0.0119%22 Feb →
ancient13–90.0619%22 Feb →
ancient10–13-0.0016%22 Feb →
nuke13–20.1116%22 Feb →
dust28–13-0.0113%22 Feb →
ancient11–130.049%22 Feb →
overpass13–40.0224%22 Feb →
dust213–100.1132%22 Feb →
ancient11–13-0.0514%19 Feb →
dust22–13-0.0411%19 Feb →
inferno15–15-0.0411%19 Feb →
dust216–14-0.0118%17 Feb →
anubis8–130.0211%17 Feb →
anubis7–13-0.0212%17 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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