FoXnumba1

FoXnumba1 — CS2 Stats

LT76561199014238845[U:1:1053973117]Steam profile ↗✓ No bans

857Tracked matches64%Win rate2020Tracked since
3,902Hours in CS52Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating16,194Purple band · top ~23.6% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (7 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: 16,194 +262 30 Sept – 25 Oct · 20 days played
12,69619,434peak 19,43430 Sept25 Oct
19,601Peak Premier in tracked matches
20Days played since 2026-09-30

Premier CS Rating

  • 3,240 below peak (19,434)
  • +262 over 30 days · steady
  • Next: Pink band at 20,000 — 3,806 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 Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate46.5%41.3%41.8%above
Shot accuracy14.9%12.7%12.2%above
Kill/death ratio0.830.950.980.15 short
Match win rate43.0%42.6%43.3%meets

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFoXnumba1FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER16,194 · 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

Aim71
Positioning54
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateTLTWWWWLLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +3.3pp headshot accuracy · −21ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–1–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 492ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 491ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 502ms

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 (+1.6 against its own average).

Aim7.1
Utility4.3
Positioning5.4
Opening Duels1.9
Clutch3.8

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

iM

Plays most like iM 97% 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

CT openings. Opening success drops from 55% on T to 36% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 67% 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

Aim7.1
Positioning5.4
Utility4.3
Mechanics3.8
Opening Duels3.9
Win Impact9.8

Composite 5.8/10 (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 rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time540ms+20ms
first ⅓ avg 520ms → last ⅓ avg 540ms
Headshot accuracy23.1%−2.2%
first ⅓ avg 25.3% → last ⅓ avg 23.1%

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

0.19Best match rating · 8–0 · inferno, 9 Oct →
100%Best headshot accuracy · 0–2 · nuke, 1 Oct →
344msFastest reaction time · 13–6 · inferno, 10 Oct →
13–0Biggest win · inferno, 24 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 60% over 25anubisWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2515–1060%-0.01
mirageA2414–1058%-0.02
dust2A2011–955%-0.03
ancientA106–460%-0.01
anubisB105–550%-0.02
cacheA74–357%0.02
nuke—41–325%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,745Lifetime kills
0.83K/D
4,330Matches
43.0%Match win rate · Top 50% of Level 2 players
46.5%Headshot % · Top 25% of Level 2 players
14.9%Shot accuracy · Top 50% of Level 2 players
9,943MVPs
2,072Hours (in match)
5,514Bombs planted
769Bombs defused

Most-used weapons

AWP15,212
AK-4713,541
MP72,805
FAMAS1,376
Knife948

Lifetime map wins

8,986inferno
8,097dust2
1,492nuke
858vertigo
499train
232office
224cbble
158lake

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

Faceit stats

Combat

142Matches
48%Win rate
1.13Avg K/D
88.8ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2839%1.2617.5
Inferno1567%1.3916.9
Dust21385%1.6018.4
Anubis1346%1.2616.6
Vertigo743%1.2314.7
Ancient771%1.3219.0
Nuke3100%2.0222.3
Cache250%0.7313.5

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.

22.5%Headshot accuracy
32.8%Accuracy (enemy spotted)
30.4%Spray accuracy
66.9%Counter-strafing
7.5°Preaim
526msReaction time
54.9%T opening success
36.3%CT opening success
0.50Enemies flashed / flash
3.6%Flash assists
9.70HE damage / grenade
4.40Flashes / 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 36.3102% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
ancient15–15-0.0119%25 Oct →
dust210–130.0237%25 Oct →
inferno15–15-0.0324%24 Oct →
inferno13–0-0.0338%24 Oct →
ancient13–5-0.059%24 Oct →
inferno13–90.0321%24 Oct →
cache13–6-0.0622%24 Oct →
inferno9–130.0132%24 Oct →
cache11–130.0315%24 Oct →
mirage2–13-0.1224%24 Oct →
cache13–60.0718%24 Oct →
mirage13–5-0.0238%23 Oct →
dust213–2-0.0421%23 Oct →
inferno16–14-0.0323%23 Oct →
mirage13–4-0.0413%23 Oct →
mirage8–13-0.039%23 Oct →
cache11–13-0.0223%23 Oct →
mirage10–13-0.0422%23 Oct →
mirage10–130.0124%23 Oct →
inferno13–5-0.0516%23 Oct →
mirage13–80.0022%22 Oct →
mirage13–20.0628%22 Oct →
anubis13–9-0.0216%22 Oct →
inferno13–30.0240%22 Oct →
anubis5–130.0528%22 Oct →
mirage13–11-0.0426%22 Oct →
ancient13–5-0.0618%22 Oct →
dust23–13-0.0220%21 Oct →
dust213–110.0115%21 Oct →
cache13–60.0622%21 Oct →
ancient13–160.0523%21 Oct →
inferno13–10-0.0024%21 Oct →
nuke13–70.0633%20 Oct →
mirage13–40.0019%20 Oct →
ancient13–70.0123%20 Oct →
dust24–130.0417%20 Oct →
mirage13–4-0.0622%20 Oct →
inferno13–5-0.0528%13 Oct →
dust211–13-0.0743%12 Oct →
inferno13–8-0.0121%12 Oct →
inferno13–80.0531%12 Oct →
anubis13–9-0.0338%11 Oct →
dust211–13-0.0425%11 Oct →
inferno11–13-0.0120%11 Oct →
cache8–13-0.0220%11 Oct →
mirage13–80.0631%11 Oct →
dust21–13-0.1327%11 Oct →
inferno13–6-0.0617%10 Oct →
inferno6–13-0.0733%10 Oct →
mirage5–13-0.0922%10 Oct →
dust213–30.0227%10 Oct →
anubis6–13-0.0432%9 Oct →
dust213–50.0242%9 Oct →
inferno13–20.0927%9 Oct →
inferno8–00.1975%9 Oct →
inferno14–16-0.0040%9 Oct →
mirage11–130.0329%8 Oct →
ancient1–11-0.0121%8 Oct →
mirage13–60.0918%8 Oct →
dust213–7-0.0813%8 Oct →
dust210–13-0.0625%8 Oct →
mirage13–8-0.0116%7 Oct →
dust213–7-0.0234%7 Oct →
cache13–100.0522%7 Oct →
anubis9–13-0.0612%7 Oct →
inferno13–110.0232%7 Oct →
ancient13–50.0217%7 Oct →
dust213–10-0.0816%6 Oct →
mirage13–8-0.0318%6 Oct →
inferno10–13-0.0626%6 Oct →
anubis13–40.0929%6 Oct →
mirage6–13-0.0523%5 Oct →
inferno13–00.0122%5 Oct →
dust26–13-0.0627%5 Oct →
inferno5–13-0.0136%5 Oct →
anubis9–13-0.0327%5 Oct →
mirage7–13-0.0229%4 Oct →
mirage10–13-0.0715%4 Oct →
inferno8–13-0.1015%4 Oct →
dust213–30.0324%4 Oct →
dust215–15-0.0916%3 Oct →
anubis13–6-0.0924%3 Oct →
mirage13–10-0.0422%3 Oct →
nuke13–160.0225%3 Oct →
ancient13–9-0.0033%3 Oct →
inferno8–13-0.0325%3 Oct →
anubis8–13-0.0921%3 Oct →
ancient8–13-0.0924%3 Oct →
dust213–110.0225%2 Oct →
dust213–11-0.0417%2 Oct →
ancient16–140.0017%2 Oct →
inferno13–9-0.0219%2 Oct →
mirage13–9-0.0319%2 Oct →
mirage15–15-0.0118%1 Oct →
mirage13–90.0627%1 Oct →
inferno10–13-0.0823%1 Oct →
dust213–110.0422%1 Oct →
nuke0–2-0.05100%1 Oct →
anubis13–110.0124%30 Sept →
nuke15–150.0430%30 Sept →

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 →

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