xof

xof — CS2 Stats

76561198143515938[U:1:183250210]Steam profile ↗✓ No bans

915Tracked matches57%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

+11Tracked matches · now 915
−3.3ppWin rate · 60.0% → 56.7%

Rating over time

Premier CS Rating: 22,024 +2,037 13 Oct – 21 Jun · 8 days played
19,87622,474peak 22,47413 Oct21 Jun
Faceit ELO: 1,640 +0 13 Sept – 24 Sept · 3 observations
1,6401,640peak 1,64013 Sept24 Sept
22,474Peak Premier in tracked matches
1,640Highest Faceit ELO seen on CSDB
36Days played since 2025-09-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGxofFACEITLevel 7STANDINGTop 42.3% of rankedPEAK ELO1,640csdb.gg/stats

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Performance scores

Aim72
Positioning60
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWLWLWWWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −2.5pp headshot accuracy · −28ms 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 16%
  • Avg reaction 537ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 564ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 578ms

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 against its own average).

Aim7.2
Utility3.9
Positioning6.0
Opening Duels4.6
Clutch5.4

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

donk

Plays most like donk 94% 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

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

Reaction time. 590ms 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

Aim7.2
Positioning6.0
Utility3.9
Mechanics5.9
Opening Duels4.9
Win Impact7.2

Composite 6.0/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time597ms−73ms
first ⅓ avg 670ms → last ⅓ avg 597ms
Headshot accuracy18.6%−0.9%
first ⅓ avg 19.5% → last ⅓ avg 18.6%

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

0.48Best match rating · 3–1 · nuke, 6 Jun →
41%Best headshot accuracy · 13–3 · anubis, 20 Aug →
406msFastest reaction time · 4–13 · inferno, 19 Oct →
13–1Biggest win · nuke, 18 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

overpassBest map · 73% over 11trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC228–1436%-0.01
nukeA1912–763%0.02
ancientB157–847%0.00
mirageC135–838%-0.01
overpassS118–373%0.01
anubisA85–363%-0.02
trainD51–420%-0.03
dust2—42–250%0.03
cache—32–167%0.07

Across the last 100 tracked matches.

Faceit stats

Combat

576Matches
52%Win rate
1.28Avg K/D
92.1ADR
48%Headshot %

Clutches & streaks

47%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8048%1.2018.8
Inferno6856%1.2017.3
Anubis5959%1.2719.6
Nuke5060%1.2318.4
Ancient3949%1.3718.8
Overpass2255%1.4118.6
Dust21331%1.0118.6
Train333%1.2121.3

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.

18.0%Headshot accuracy
37.8%Accuracy (enemy spotted)
37.7%Spray accuracy
76.4%Counter-strafing
9.8°Preaim
590msReaction time
44.7%T opening success
54.7%CT opening success
0.37Enemies flashed / flash
2.3%Flash assists
8.97HE damage / grenade
6.41Flashes / 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 0.3748 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke10–130.0313%20 Oct →
nuke13–7-0.0125%20 Oct →
ancient9–130.0318%20 Oct →
cache13–60.1315%19 Oct →
inferno4–13-0.069%19 Oct →
mirage13–110.0017%19 Oct →
nuke16–140.0316%18 Oct →
nuke13–1-0.0823%18 Oct →
mirage7–13-0.0310%18 Oct →
inferno9–130.0121%29 Sept →
ancient13–80.1421%29 Sept →
nuke14–16-0.0218%20 Aug →
anubis13–30.0441%20 Aug →
nuke13–60.0620%19 Aug →
anubis13–70.0116%19 Aug →
anubis13–8-0.055%11 Aug →
ancient13–80.0112%10 Aug →
inferno9–13-0.0313%10 Aug →
dust213–50.0920%10 Aug →
mirage13–16-0.0125%9 Aug →
dust214–160.0617%9 Aug →
inferno13–11-0.0224%9 Aug →
mirage10–13-0.0513%5 Aug →
anubis13–4-0.0111%5 Aug →
inferno13–80.0416%5 Aug →
nuke2–13-0.1216%5 Aug →
anubis11–13-0.0116%4 Aug →
ancient5–13-0.099%4 Aug →
nuke13–11-0.0326%3 Aug →
nuke13–7-0.0534%3 Aug →
cache13–30.0327%3 Aug →
ancient13–11-0.0018%21 Jun →
inferno13–90.0430%21 Jun →
nuke3–10.4836%6 Jun →
mirage3–13-0.0931%6 Jun →
inferno13–100.0220%6 Jun →
inferno13–60.0720%4 Jun →
nuke13–70.0218%4 Jun →
overpass16–120.0120%2 Jun →
ancient7–13-0.049%2 Jun →
ancient2–13-0.0515%25 May →
mirage13–110.0117%25 May →
nuke13–8-0.0029%25 May →
inferno7–13-0.0437%25 May →
ancient10–13-0.0415%21 May →
inferno3–13-0.068%21 May →
ancient13–110.0317%21 May →
nuke13–9-0.0227%20 May →
ancient13–30.0926%20 May →
inferno8–13-0.0214%20 May →
anubis10–13-0.0917%12 May →
inferno12–12-0.009%12 May →
ancient14–16-0.0313%9 May →
overpass8–13-0.0514%9 May →
inferno13–5-0.0313%9 May →
nuke13–100.0231%7 May →
ancient13–80.0920%5 May →
cache11–130.0423%5 May →
mirage6–13-0.1129%5 May →
mirage13–80.0123%3 Feb →
overpass13–11-0.0014%3 Feb →
mirage5–130.0625%3 Feb →
inferno2–10-0.0619%22 Jan →
anubis10–13-0.0122%22 Jan →
mirage13–80.0327%13 Jan →
train8–13-0.0621%13 Jan →
mirage11–13-0.0220%16 Dec →
inferno12–120.0518%16 Dec →
anubis13–5-0.0121%20 Nov →
overpass13–100.0213%20 Nov →
train12–12-0.0410%7 Nov →
mirage7–13-0.0129%28 Oct →
overpass16–14-0.0017%28 Oct →
dust23–13-0.0229%24 Oct →
inferno13–20.0823%24 Oct →
overpass10–130.0213%24 Oct →
nuke13–90.0426%13 Oct →
overpass13–40.0227%13 Oct →
inferno13–100.039%11 Oct →
dust216–13-0.0325%11 Oct →
ancient9–13-0.0427%11 Oct →
mirage13–100.1018%11 Oct →
nuke10–130.0016%11 Oct →
overpass13–6-0.0013%11 Oct →
overpass11–130.0214%11 Oct →
nuke9–130.0529%11 Oct →
train13–90.0126%11 Oct →
ancient13–9-0.0416%11 Oct →
inferno10–13-0.0214%11 Oct →
nuke13–50.0516%11 Oct →
inferno4–13-0.0222%7 Oct →
train6–13-0.0719%7 Oct →
ancient9–13-0.0220%7 Oct →
inferno8–13-0.037%7 Oct →
overpass13–90.0233%7 Oct →
inferno9–130.0123%4 Oct →
train17–19-0.0223%4 Oct →
inferno8–13-0.088%4 Oct →
nuke7–130.0125%24 Sept →
overpass13–40.0015%24 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 →

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