xof

xof — CS2 Stats

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

904Tracked matches60%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 7 · 1,640 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 904 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 19 Aug 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

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 – 19 Sept · 2 observations
1,6401,640peak 1,64013 Sept19 Sept
22,474Peak Premier in tracked matches
1,640Highest Faceit ELO seen on CSDB
36Days played since 2025-08-19

Faceit ELO

  • At peak — 1,640
  • Next: Level 9 at 1,751 — 111 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-13
  • Level 7 first seen 2026-09-13

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 7 · 1,640 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,640csdb.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

Aim63
Positioning57
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWWWWWLWLL

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · −0.8pp headshot accuracy · −23ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 600ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 601ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 613ms

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 (+0.9 against its own average).

Aim6.3
Utility3.8
Positioning5.7
Opening Duels4.2
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

m0NESY

Plays most like m0NESY 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 635ms 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

Aim6.3
Positioning5.7
Utility3.8
Mechanics5.5
Opening Duels3.5
Win Impact8.3

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time632ms−24ms
first ⅓ avg 656ms → last ⅓ avg 632ms
Headshot accuracy20.6%+1.1%
first ⅓ avg 19.5% → last ⅓ avg 20.6%

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 →
469msFastest reaction time · 13–11 · mirage, 25 May →
13–2Biggest win · inferno, 24 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

overpassBest map · 67% over 15trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC229–1341%0.00
nukeA1610–663%0.03
overpassS1510–567%0.01
ancientB136–746%-0.01
mirageC135–838%-0.00
anubisA85–363%-0.02
trainD61–517%-0.03
dust2A53–260%0.02
cache—21–150%0.04

Across the last 100 tracked matches.

Faceit stats

Combat

574Matches
52%Win rate
1.28Avg K/D
92.0ADR
48%Headshot %

Clutches & streaks

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

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8048%1.2018.8
Inferno6757%1.2117.3
Anubis5959%1.2719.6
Nuke5060%1.2318.4
Ancient3847%1.3418.6
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.

19.3%Headshot accuracy
35.4%Accuracy (enemy spotted)
33.2%Spray accuracy
75.0%Counter-strafing
9.4°Preaim
635msReaction time
37.3%T opening success
50.7%CT opening success
0.40Enemies flashed / flash
3.4%Flash assists
8.28HE damage / grenade
6.11Flashes / 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 0.3958 — 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 37.2972% — below the 40% mark we flag

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.

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

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
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 →
overpass13–60.0323%23 Sept →
inferno9–130.0323%23 Sept →
overpass5–13-0.0721%23 Sept →
overpass9–13-0.0118%23 Sept →
inferno13–40.0825%5 Sept →
mirage13–50.0427%5 Sept →
dust213–11-0.0011%5 Sept →
train7–13-0.0124%22 Aug →
mirage8–130.0222%22 Aug →
overpass13–110.0616%19 Aug →
nuke13–100.0315%19 Aug →

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 →