xn

xn — CS2 Stats

PL76561198823079164[U:1:862813436]Steam profile ↗✓ No bans

1,239Tracked matches62%Win rate2020Tracked since
2,155Hours in CS10Hrs last 2 wks
CSDB Rating3.8 LearningAll-Rounder
CSDB Leaderboard#72793 of 221126 tracked
FaceitLevel 3 · 956 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova Master
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. 35 days played since 21 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,000 -2,444 21 Jun5 Jul · 9 days played
20,00022,444peak 22,44421 Jun5 Jul
22,444Peak Premier in tracked matches
956Highest Faceit ELO seen on CSDB
35Days played since 2026-06-21

Faceit ELO

  • At peak — 956
  • Next: Level 5 at 1,051 95 to go
  • Reached: Level 4 · Level 3 · Level 2

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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches100
Win rate50%
K/D0.60
Headshot %31%

Measured 8 Sep 202617 Sep 2026; previous 5 Sep 2026 → 8 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=8,548), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.8%41.9%42.7%3.9% short
Shot accuracy8.7%12.2%11.2%2.5% short
Kill/death ratio0.560.980.990.43 short
Match win rate44.1%43.3%43.9%meets

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGxnFACEITLevel 3 · 956 ELOSTANDINGTop 90.6% of rankedPEAK ELO956csdb.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

Aim44
Positioning38
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY42517Last 10042%Win rateWLWWLTWLLL

Last 10 vs previous 10: −50pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · +17ms reaction

Win rate down 50pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 528ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 598ms

Last 20

  • 1361 · 65% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 589ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim4.4
Utility3.6
Positioning3.8
Opening Duels1.2
Clutch3.8

Strong CT-side opener

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

NiKo

Plays most like NiKo 84% 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

T-side openings. Opening success drops from 45% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.4
Positioning3.8
Utility3.6
Mechanics3.3
Opening Duels1.9
Win Impact9.0

Composite 3.8/10 (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 rating-0.04+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time615ms+25ms
first ⅓ avg 590ms → last ⅓ avg 615ms
Headshot accuracy9.1%−5.7%
first ⅓ avg 14.8% → last ⅓ avg 9.1%

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

0.07Best match rating · 13–9 · shelter, 10 Jul
50%Best headshot accuracy · 2–13 · ancient, 3 Jul
414msFastest reaction time · 5–13 · dust2, 12 Jul
13–1Biggest win · boulder, 29 Jul

Across the last 100 tracked matches.

Highlights

8Longest win streak
56In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 67% over 6italyWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB1991047%-0.04
boulderB115645%-0.03
ancientD103730%-0.06
fachwerkC94544%-0.02
shelterA95456%-0.02
cacheD72529%-0.06
anubisC73443%-0.05
nukeS64267%-0.03
dust2S64267%-0.06
italyD51420%-0.03
train4040%-0.06
inferno3030%-0.05
vertigo21150%0.01
office110100%-0.09
overpass1010%-0.07

Across the last 100 tracked matches.

Lifetime stats

35,464Lifetime kills
0.56K/D
3,033Matches
44.1%Match win rate · Top 50% of Level 3 players
38.8%Headshot %
8.7%Shot accuracy
3,227MVPs
1,198Hours (in match)
2,287Bombs planted
364Bombs defused

Most-used weapons

AK-478,744
AWP3,546
MP91,112
Knife757

Lifetime map wins

7,591nuke
2,418inferno
1,606dust2
1,535train
1,267vertigo
407office
278italy
65lake

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

Faceit stats

Combat

151Matches
52%Win rate
0.86Avg K/D
79.6ADR
35%Headshot %

Clutches & streaks

39%1v1 clutch win
16%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2167%1.1115.9
Nuke1457%0.9312.9
Ancient1155%1.1514.8
Dust21155%1.1716.3
Inferno956%1.0014.1
Anubis633%0.8616.7
Cache540%1.0216.2
Overpass3100%0.5810.0

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.

8.6%Headshot accuracy
35.0%Accuracy (enemy spotted)
40.6%Spray accuracy
64.9%Counter-strafing
11.3°Preaim
591msReaction time
29.5%T opening success
45.2%CT opening success
0.43Enemies flashed / flash
2.9%Flash assists
7.86HE damage / grenade
5.70Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.6312% — below the 15% mark we flag

    Aim Training
  2. 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 0.4312 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 29.4844% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke13–80.0414%16 Sept
train6–13-0.074%15 Sept
fachwerk13–2-0.0412%14 Sept
vertigo5–2-0.017%14 Sept
italy7–13-0.0710%14 Sept
inferno15–15-0.0310%14 Sept
mirage16–13-0.0310%14 Sept
vertigo0–130.0216%13 Sept
mirage0–3-0.060%13 Sept
cache14–16-0.068%3 Sept
dust213–9-0.057%3 Sept
mirage13–5-0.039%1 Sept
anubis13–8-0.117%1 Sept
cache13–3-0.0111%1 Sept
dust213–11-0.0713%1 Sept
mirage13–4-0.034%31 Aug
nuke13–7-0.0610%31 Aug
ancient13–50.004%31 Aug
train6–13-0.032%13 Aug
office13–7-0.0916%7 Aug
shelter13–2-0.060%7 Aug
train7–13-0.1010%7 Aug
mirage1–13-0.0715%7 Aug
dust213–11-0.037%7 Aug
anubis13–20.046%7 Aug
italy13–4-0.032%7 Aug
ancient4–13-0.069%5 Aug
cache1–13-0.066%5 Aug
mirage1–130.0120%5 Aug
fachwerk13–8-0.038%29 Jul
boulder13–10.0316%29 Jul
boulder11–130.0113%29 Jul
inferno7–13-0.0417%29 Jul
dust213–7-0.0816%24 Jul
fachwerk13–7-0.034%24 Jul
boulder13–11-0.015%24 Jul
boulder9–13-0.045%24 Jul
boulder3–00.000%24 Jul
boulder11–13-0.0614%23 Jul
anubis15–15-0.099%23 Jul
cache5–13-0.108%23 Jul
boulder12–12-0.0810%20 Jul
fachwerk7–130.0418%20 Jul
mirage6–13-0.0729%20 Jul
fachwerk12–12-0.036%18 Jul
boulder7–13-0.045%18 Jul
cache13–5-0.0723%17 Jul
cache0–13-0.110%17 Jul
mirage12–12-0.0729%17 Jul
anubis12–12-0.0713%17 Jul
shelter13–10-0.0911%16 Jul
shelter12–12-0.039%16 Jul
mirage7–13-0.050%15 Jul
nuke0–7-0.0418%15 Jul
shelter5–13-0.0412%13 Jul
shelter13–10.0343%13 Jul
fachwerk2–13-0.0219%13 Jul
boulder13–2-0.087%13 Jul
fachwerk4–13-0.0511%12 Jul
boulder13–5-0.0114%12 Jul
dust25–13-0.0512%12 Jul
fachwerk13–11-0.039%11 Jul
nuke13–10-0.0415%11 Jul
italy3–130.0416%11 Jul
shelter4–130.0013%11 Jul
mirage8–130.0112%11 Jul
boulder10–13-0.0721%11 Jul
fachwerk8–13-0.0410%11 Jul
shelter13–40.0111%11 Jul
mirage13–8-0.0414%10 Jul
shelter13–90.0712%10 Jul
shelter11–13-0.0914%9 Jul
italy7–13-0.1010%6 Jul
nuke5–13-0.0810%5 Jul
overpass8–13-0.0727%5 Jul
anubis1–130.0130%5 Jul
ancient2–3-0.0433%5 Jul
ancient7–13-0.0311%4 Jul
nuke13–7-0.0126%4 Jul
ancient13–2-0.0715%4 Jul
ancient0–5-0.090%4 Jul
ancient13–4-0.0622%4 Jul
ancient2–13-0.1050%3 Jul
italy9–13-0.0210%2 Jul
dust29–13-0.086%2 Jul
mirage13–8-0.0314%2 Jul
mirage13–7-0.0411%2 Jul
mirage7–13-0.024%29 Jun
train1–13-0.0517%28 Jun
mirage13–1-0.0413%28 Jun
inferno0–13-0.070%27 Jun
ancient0–2-0.090%27 Jun
anubis13–3-0.0318%26 Jun
mirage13–10-0.099%26 Jun
mirage2–13-0.0925%26 Jun
ancient1–13-0.070%25 Jun
cache6–13-0.0420%25 Jun
anubis0–13-0.0717%23 Jun
mirage13–11-0.106%21 Jun
mirage10–13-0.0124%21 Jun

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 →