Xerty

Xerty — CS2 Stats

FR76561198973873777[U:1:1013608049]Steam profile ↗✓ No bans

1,152Tracked matches40%Win rate2025Tracked since
589Hours in CS
CSDB Rating3.7 LearningPositional Player
FaceitLevel 1 · 397 ELOTop 100.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify
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. 44 days played since 5 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 1,000 -697 7 Apr24 Jun · 22 days played
1,0002,130peak 2,1307 Apr24 Jun
2,279Peak Premier in tracked matches
397Highest Faceit ELO seen on CSDB
44Days played since 2026-03-05

Faceit ELO

  • At peak — 397
  • Next: Level 2 at 501 104 to go

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.

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=1,911), 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 1 medianLevel 2 medianvs Level 2
Headshot rate37.4%41.0%41.3%3.9% short
Shot accuracy3.6%14.1%12.6%9.0% short
Kill/death ratio0.840.950.960.11 short
Match win rate39.3%42.2%42.5%3.2% short

This profile sits below the typical Level 2 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGXertyFACEITLevel 1 · 397 ELOSTANDINGTop 100.0% of rankedPEAK ELO397csdb.gg/stats

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Performance scores

Aim44
Positioning52
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateWWLLLLWWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.2pp headshot accuracy · −1ms 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

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 658ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 681ms

Last 20

  • 812 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 682ms

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 PlayerPositioning stands above the rest of this profile (+1.6 against its own average).

Aim4.4
Utility3.9
Positioning5.2
Opening Duels3.1
Clutch2.4

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

iM

Plays most like iM 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 47% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 698ms 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

Aim4.4
Positioning5.2
Utility3.9
Mechanics5.0
Opening Duels2.4
Win Impact1.7

Composite 3.7/10 (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 rating0.02+0.04
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time702ms−48ms
first ⅓ avg 749ms → last ⅓ avg 702ms
Headshot accuracy24.3%+4.5%
first ⅓ avg 19.8% → last ⅓ avg 24.3%

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

0.25Best match rating · 9–1 · inferno, 19 Jun
50%Best headshot accuracy · 3–9 · overpass, 21 Jun
469msFastest reaction time · 9–7 · inferno, 12 Mar
13–2Biggest win · dust2, 24 Apr

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
810In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 80% over 5nukeWeakest map · 39% over 28
MapGradePlayedRecordWin rateAvg rating
infernoB29131645%-0.01
nukeC28111739%-0.00
mirageA2012860%0.03
dust2C125742%0.02
cacheS54180%-0.05
ancient41325%-0.01
overpass2020%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (39% over 28). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,978Lifetime kills
0.84K/D
2,186Matches
39.3%Match win rate
37.4%Headshot %
3.6%Shot accuracy
4,061MVPs
589Hours (in match)
1,465Bombs planted
367Bombs defused

Most-used weapons

Lifetime map wins

3,687dust2
2,724nuke
2,521inferno
150train
109vertigo
49lake
37safehouse
33ar_shoots

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

Faceit stats

Combat

101Matches
42%Win rate
0.67Avg K/D
59.4ADR
35%Headshot %

Clutches & streaks

32%1v1 clutch win
10%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust22839%0.679.9
Mirage2438%0.639.8
Nuke1741%0.6911.7
Ancient1533%0.6611.9
Inferno1060%0.7513.3
Train333%0.8116.7
Overpass250%0.668.0
Anubis2100%0.487.0

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.

22.6%Headshot accuracy
31.5%Accuracy (enemy spotted)
30.9%Spray accuracy
72.6%Counter-strafing
11.9°Preaim
698msReaction time
31.6%T opening success
47.3%CT opening success
0.44Enemies flashed / flash
4.2%Flash assists
7.43HE damage / grenade
13.11Flashes / 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 0.4378 — 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 31.6012% — below the 40% mark we flag

Spend your practice time on Nuke

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

39% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–80.1329%22 Jul
nuke13–90.0026%22 Jul
nuke9–130.0217%22 Jul
nuke2–9-0.1535%22 Jul
ancient6–13-0.0116%18 Jul
dust210–130.0148%18 Jul
mirage13–100.1119%14 Jul
nuke9–70.0012%6 Jul
nuke4–90.049%6 Jul
inferno7–9-0.0328%6 Jul
inferno6–9-0.0431%6 Jul
mirage14–160.0831%24 Jun
overpass3–9-0.0250%21 Jun
dust213–90.0432%21 Jun
nuke8–130.0126%21 Jun
nuke5–9-0.1021%20 Jun
overpass8–130.029%20 Jun
nuke13–80.1825%20 Jun
nuke9–30.0526%19 Jun
inferno9–50.1418%19 Jun
inferno9–10.2536%19 Jun
inferno4–90.0620%19 Jun
dust23–13-0.0820%18 Jun
mirage5–13-0.0524%18 Jun
dust211–13-0.0314%18 Jun
nuke13–30.0031%13 Jun
nuke9–130.0438%13 Jun
inferno14–16-0.0423%9 Jun
nuke9–130.0621%9 May
ancient13–60.015%9 May
inferno16–120.0317%9 May
cache13–10-0.0413%6 May
nuke11–130.0133%6 May
dust23–13-0.059%3 May
mirage5–130.0322%3 May
dust26–13-0.0024%2 May
inferno16–13-0.0317%2 May
cache13–30.0416%2 May
cache13–7-0.0424%29 Apr
cache9–13-0.138%28 Apr
cache9–1-0.0533%28 Apr
nuke13–9-0.0317%28 Apr
dust213–20.0535%24 Apr
nuke5–13-0.1127%24 Apr
dust24–130.1219%24 Apr
mirage13–11-0.0112%22 Apr
mirage13–50.0824%21 Apr
mirage13–70.0419%20 Apr
ancient8–13-0.0022%20 Apr
dust213–20.1023%20 Apr
nuke11–13-0.0314%20 Apr
mirage13–10-0.0116%20 Apr
inferno15–150.0227%19 Apr
mirage13–100.0220%18 Apr
inferno9–130.0025%18 Apr
ancient7–13-0.0524%16 Apr
dust215–15-0.0124%13 Apr
mirage13–110.0512%12 Apr
nuke9–130.0918%11 Apr
mirage9–130.0914%10 Apr
mirage3–13-0.0314%10 Apr
mirage11–130.0130%10 Apr
dust213–60.0925%9 Apr
mirage13–9-0.0316%9 Apr
mirage3–13-0.1010%8 Apr
nuke9–130.0421%8 Apr
dust213–60.0521%8 Apr
mirage16–140.0018%7 Apr
mirage16–140.0822%6 Apr
mirage14–160.0224%6 Apr
nuke13–90.0418%31 Mar
nuke7–130.0214%25 Mar
inferno9–5-0.0116%25 Mar
nuke7–9-0.0528%22 Mar
inferno11–130.0727%21 Mar
inferno4–9-0.1913%21 Mar
inferno3–9-0.0824%21 Mar
inferno9–20.0514%21 Mar
inferno4–9-0.1710%20 Mar
inferno9–30.1728%20 Mar
inferno6–9-0.0442%18 Mar
nuke5–9-0.0215%18 Mar
nuke4–9-0.1011%18 Mar
nuke9–6-0.0010%15 Mar
nuke9–30.1022%15 Mar
inferno5–90.0433%15 Mar
inferno8–80.026%15 Mar
inferno6–9-0.1013%12 Mar
inferno3–9-0.198%12 Mar
nuke7–5-0.0115%12 Mar
inferno9–7-0.0817%12 Mar
inferno9–6-0.0314%11 Mar
nuke9–30.0115%8 Mar
inferno2–9-0.2419%8 Mar
inferno9–7-0.0119%6 Mar
inferno9–50.1425%6 Mar
nuke4–9-0.0824%6 Mar
inferno9–50.0929%6 Mar
inferno9–3-0.0129%5 Mar
mirage13–20.1231%5 Mar

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →