0xE8E4D2F0

0xE8E4D2F0 — CS2 Stats

76561199533717296[U:1:1573451568]Steam profile ↗✓ No bans

1,392Tracked matches57%Win rate2023Tracked since
1,007Hours in CS
CSDB Rating6.9 SolidSupport
Premier CS Rating20,018Top 50% of 205,416 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#80107 of 252732 tracked
FaceitLevel 10 · 2,004 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,392 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,018 -98 23 Mar – 6 Sept · 28 days played
19,33521,357peak 21,35723 Mar6 Sept
21,357Peak Premier in tracked matches
2,004Highest Faceit ELO seen on CSDB
30Days played since 2026-03-23

Faceit ELO

  • At peak — 2,004
  • Next: 2,500 ELO at 2,500 — 496 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-06
  • Level 9 first seen 2026-09-06

Premier CS Rating

  • 1,339 below peak (21,357)
  • -841 over 90 days
  • Next: Red band at 25,000 — 4,982 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-09-06

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 10 among CSDB-tracked players (n=30,061), 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 10 median
Headshot rate52.6%50.9%
Shot accuracy1.3%13.7%
Kill/death ratio0.921.09
Match win rate47.0%48.4%

Share this profile

CSDB.GG0xE8E4D2F0FACEITLevel 10 · 2,004 ELOSTANDINGTop 12.4% of rankedPREMIER20,018 · Pink bandPEAK ELO2,004csdb.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

Aim81
Positioning52
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLWWLWWLLLW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · +0.0pp headshot accuracy · +61ms reaction

Win rate −10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 631ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 633ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 602ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim8.1
Utility7.0
Positioning5.2
Opening Duels4.5
Clutch3.6

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 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Reaction time. 597ms 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

Aim8.1
Positioning5.2
Utility7.0
Mechanics8.1
Opening Duels3.5
Win Impact7.2

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time595ms−70ms
first ⅓ avg 666ms → last ⅓ avg 595ms
Headshot accuracy17.9%−4.6%
first ⅓ avg 22.6% → last ⅓ avg 17.9%

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

0.15Best match rating · 13–4 · inferno, 30 Mar →
40%Best headshot accuracy · 13–6 · mirage, 14 May →
438msFastest reaction time · 6–13 · nuke, 7 Jun →
13–2Biggest win · ancient, 3 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 78% over 9infernoWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
nukeA2212–1055%0.01
mirageB178–947%0.01
infernoC167–944%0.01
ancientC167–944%-0.00
anubisS97–278%0.03
overpassB84–450%-0.02
dust2S75–271%-0.03
cache—31–233%0.02
train—11–0100%0.03
stronghold—11–0100%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,881Lifetime kills
0.92K/D
1,886Matches
47.0%Match win rate
52.6%Headshot % · Top 50% of Level 10 players
1.3%Shot accuracy
5,132MVPs
1,007Hours (in match)
1,079Bombs planted
500Bombs defused

Most-used weapons

Lifetime map wins

2,714nuke
2,670inferno
1,136dust2
773vertigo
532train
75office
31lake
15cbble

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

Faceit stats

Combat

250Matches
55%Win rate
1.31Avg K/D
93.8ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
30%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6151%1.3018.5
Anubis5258%1.5119.8
Ancient4252%1.2818.9
Nuke2767%1.3217.9
Inferno2446%1.1016.1
Dust21656%1.2617.9
Vertigo1346%1.1818.7
Train862%1.2518.8

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.

19.1%Headshot accuracy
36.7%Accuracy (enemy spotted)
41.4%Spray accuracy
86.3%Counter-strafing
9.2°Preaim
597msReaction time
40.1%T opening success
47.9%CT opening success
0.69Enemies flashed / flash
11.2%Flash assists
9.80HE damage / grenade
14.29Flashes / match

Recommended for you

Spend your practice time on Inferno

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

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0414%4 Jul →
nuke13–90.0620%4 Jul →
mirage13–5-0.0132%3 Jul →
inferno12–16-0.0730%3 Jul →
ancient13–9-0.0613%3 Jul →
mirage13–6-0.0218%3 Jul →
nuke1–7-0.017%3 Jul →
mirage5–130.0319%3 Jul →
mirage12–16-0.0218%3 Jul →
ancient13–2-0.0430%3 Jul →
ancient13–60.0615%3 Jul →
inferno6–130.0128%2 Jul →
dust213–9-0.0237%2 Jul →
mirage13–7-0.0118%2 Jul →
ancient14–160.0617%2 Jul →
nuke13–100.048%1 Jul →
ancient14–160.0321%1 Jul →
inferno13–70.0818%1 Jul →
inferno6–130.0320%1 Jul →
nuke13–110.0419%1 Jul →
dust21–4-0.080%1 Jul →
overpass11–13-0.0118%29 Jun →
ancient11–13-0.0016%27 Jun →
nuke13–100.0021%27 Jun →
mirage8–130.0215%27 Jun →
nuke13–110.0220%27 Jun →
anubis13–110.0022%24 Jun →
anubis13–80.0313%24 Jun →
mirage13–20.077%23 Jun →
anubis13–30.0913%23 Jun →
ancient13–110.0113%23 Jun →
nuke9–130.0116%22 Jun →
inferno5–13-0.0815%22 Jun →
mirage15–15-0.0320%22 Jun →
inferno8–13-0.0014%22 Jun →
overpass13–9-0.0723%22 Jun →
overpass5–13-0.0232%21 Jun →
nuke5–13-0.059%21 Jun →
overpass13–5-0.0128%21 Jun →
anubis8–13-0.109%21 Jun →
dust212–9-0.0419%21 Jun →
nuke0–13-0.1520%21 Jun →
inferno13–60.0118%16 Jun →
ancient16–14-0.0216%15 Jun →
inferno13–40.0624%15 Jun →
mirage13–9-0.0520%7 Jun →
dust213–10-0.0017%7 Jun →
nuke6–130.0121%7 Jun →
dust29–130.016%7 Jun →
overpass8–13-0.0526%7 Jun →
mirage11–130.0323%3 Jun →
ancient10–13-0.0311%24 May →
ancient13–40.0525%24 May →
nuke13–50.0522%24 May →
cache12–120.0029%24 May →
inferno8–13-0.1014%24 May →
nuke13–110.0716%24 May →
overpass13–70.0325%21 May →
anubis13–100.0318%21 May →
inferno13–10-0.0111%21 May →
inferno9–130.0023%21 May →
inferno13–110.0120%21 May →
nuke8–130.0123%21 May →
nuke13–80.0125%21 May →
inferno13–8-0.0116%19 May →
ancient3–13-0.0813%19 May →
mirage11–130.0726%19 May →
nuke13–11-0.0120%19 May →
inferno11–13-0.0320%19 May →
nuke13–20.0618%19 May →
dust213–6-0.0215%19 May →
ancient1–13-0.0715%16 May →
mirage5–130.0738%16 May →
nuke8–130.0523%16 May →
ancient11–130.1214%16 May →
nuke13–100.0521%16 May →
mirage13–60.0940%14 May →
train13–90.0328%7 May →
nuke12–12-0.0124%7 May →
cache6–13-0.0019%7 May →
mirage13–80.0219%4 May →
anubis13–100.0619%4 May →
ancient6–13-0.0118%3 May →
anubis13–60.1232%3 May →
nuke7–130.0015%3 May →
cache13–60.0630%2 May →
ancient13–60.0721%24 Apr →
mirage3–13-0.0617%24 Apr →
mirage16–130.0422%15 Apr →
anubis7–13-0.0514%14 Apr →
anubis13–80.0927%5 Apr →
mirage3–13-0.0516%5 Apr →
stronghold1–1-0.080%5 Apr →
overpass13–8-0.0236%4 Apr →
ancient6–13-0.1019%4 Apr →
inferno13–40.1532%30 Mar →
inferno8–130.0737%30 Mar →
dust213–10-0.0234%23 Mar →
nuke13–110.0323%23 Mar →
overpass8–13-0.0317%23 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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