E46

E46 — CS2 Stats

76561199785054961[U:1:1824789233]Steam profile ↗✓ No bans

1,553Tracked matches53%Win rate2024Tracked since
1,219Hours in CS18Hrs last 2 wks
CSDB Rating6.6 SolidOpening Duellist
Premier CS Rating3,886Grey band · top ~83.5% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 3,886 -6,113 2 Aug – 2 Oct · 49 days played
2,57510,102peak 10,1022 Aug2 Oct
10,102Peak Premier in tracked matches
50Days played since 2026-08-02

Premier CS Rating

  • 6,216 below peak (10,102)
  • -1,114 over 30 days · declining
  • Next: Light Blue band at 5,000 — 1,114 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate36.1%38.2%39.9%3.8% short
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio1.160.830.92above
Match win rate46.3%40.2%42.3%above

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGE46PREMIER3,886 · Grey bandcsdb.gg/stats

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Performance scores

Aim83
Positioning79
Utility42

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateWWLLLLLWLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −0.5pp headshot accuracy · −25ms reaction

Win rate down 20pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 550ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 591ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2.7 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.3
Utility4.2
Positioning7.9
Opening Duels8.0
Clutch1.0

Limited utility dependence

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

s1mple

Plays most like s1mple 85% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

T openings. 78% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 78% on T to 57% on CT — first contacts on the defending side are being lost.

Reaction time. 608ms 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

Aim8.3
Positioning7.9
Utility4.2
Mechanics7.8
Opening Duels8.3
Win Impact6.1

Composite 6.6/10 (Solid), 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 rating0.06+0.02
first ⅓ avg 0.04 → last ⅓ avg 0.06
Reaction time600ms−51ms
first ⅓ avg 652ms → last ⅓ avg 600ms
Headshot accuracy19.6%+2.5%
first ⅓ avg 17.2% → last ⅓ avg 19.6%

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

0.20Best match rating · 15–15 · inferno, 14 Aug →
50%Best headshot accuracy · 4–3 · inferno, 24 Sept →
438msFastest reaction time · 3–13 · inferno, 1 Oct →
13–1Biggest win · ancient, 2 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W2Current streak
8–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 63% over 8nukeWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2B3317–1652%0.05
nukeD216–1529%0.05
infernoC218–1338%0.04
mirageD103–730%0.05
anubisA85–363%0.06
ancientD62–433%0.04
cache—10–10%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,014Lifetime kills
1.16K/D · Top 10% of Grey band
1,763Matches
46.3%Match win rate · Top 25% of Grey band
36.1%Headshot %
0.0%Shot accuracy
4,463MVPs
696Hours (in match)
2,704Bombs planted
541Bombs defused

Most-used weapons

Lifetime map wins

3,824dust2
3,047inferno
2,730nuke
1,464vertigo
134train
48office
1italy

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

Faceit stats

Combat

10Matches
50%Win rate
1.04Avg K/D
72.5ADR
30%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2333%0.7912.0
Vertigo3100%1.7017.7
Anubis20%0.467.0
Mirage10%0.7110.0
Nuke1100%1.3320.0

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.

19.1%Headshot accuracy
42.5%Accuracy (enemy spotted)
36.7%Spray accuracy
85.1%Counter-strafing
9.6°Preaim
608msReaction time
78.0%T opening success
56.7%CT opening success
0.35Enemies flashed / flash
10.1%Flash assists
7.09HE damage / grenade
4.80Flashes / 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 0.3479 — below the 0.5 mark we flag

    Grenade Lineups →
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.

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10.0531%2 Oct →
nuke13–90.1432%2 Oct →
ancient7–130.029%1 Oct →
dust27–130.0622%1 Oct →
inferno3–13-0.087%1 Oct →
ancient9–130.0923%30 Sept →
inferno4–130.0523%30 Sept →
anubis13–90.1515%30 Sept →
dust210–130.0327%29 Sept →
mirage6–13-0.0120%29 Sept →
mirage4–13-0.0218%29 Sept →
nuke9–13-0.0229%29 Sept →
mirage13–80.1413%25 Sept →
mirage11–130.0325%24 Sept →
inferno4–3-0.0950%24 Sept →
mirage14–160.0613%24 Sept →
dust213–50.1718%24 Sept →
cache2–130.024%23 Sept →
dust213–80.0420%23 Sept →
nuke13–10.1123%22 Sept →
dust213–70.1221%22 Sept →
dust213–90.1720%21 Sept →
inferno9–20.1927%20 Sept →
dust213–80.0310%20 Sept →
inferno13–50.1418%20 Sept →
dust213–70.1530%20 Sept →
mirage13–90.099%19 Sept →
nuke13–100.1720%18 Sept →
inferno13–90.0521%18 Sept →
mirage5–13-0.0010%18 Sept →
dust25–130.0310%18 Sept →
nuke3–13-0.0713%17 Sept →
anubis16–140.0018%17 Sept →
inferno4–13-0.0035%17 Sept →
dust215–150.0514%17 Sept →
ancient13–8-0.0123%16 Sept →
nuke11–130.0625%16 Sept →
inferno3–130.1011%15 Sept →
anubis11–130.0616%15 Sept →
nuke11–130.0524%14 Sept →
dust213–110.1215%14 Sept →
anubis1–13-0.0114%14 Sept →
nuke11–130.0616%13 Sept →
dust215–15-0.0223%13 Sept →
dust28–130.028%12 Sept →
anubis13–60.0913%12 Sept →
inferno13–100.0913%9 Sept →
nuke13–20.0827%8 Sept →
dust213–40.0820%8 Sept →
dust216–130.0317%5 Sept →
anubis13–110.1316%5 Sept →
nuke11–130.0926%5 Sept →
nuke5–130.0410%4 Sept →
dust213–80.0623%3 Sept →
mirage5–130.1018%3 Sept →
dust21–130.0720%3 Sept →
mirage13–60.0514%3 Sept →
nuke11–130.0211%2 Sept →
dust210–130.0219%2 Sept →
nuke6–130.0515%2 Sept →
dust213–30.0813%2 Sept →
nuke9–13-0.0221%1 Sept →
dust29–130.0413%1 Sept →
anubis13–110.0712%1 Sept →
dust26–13-0.0320%1 Sept →
inferno15–150.0121%31 Aug →
dust213–16-0.0628%30 Aug →
nuke3–13-0.0320%28 Aug →
dust213–100.0110%27 Aug →
nuke14–160.0419%26 Aug →
inferno1–8-0.0244%25 Aug →
ancient7–130.0210%24 Aug →
inferno8–130.0613%24 Aug →
inferno6–100.0010%23 Aug →
dust213–30.1012%23 Aug →
inferno3–13-0.0113%20 Aug →
nuke9–130.0714%20 Aug →
inferno6–130.0020%19 Aug →
dust28–13-0.0016%17 Aug →
nuke13–110.0912%16 Aug →
inferno13–100.039%15 Aug →
nuke3–130.0318%14 Aug →
inferno15–150.2014%14 Aug →
inferno14–160.0216%12 Aug →
ancient6–130.0514%11 Aug →
inferno16–120.0710%10 Aug →
dust213–110.0222%9 Aug →
anubis10–13-0.0111%8 Aug →
dust25–13-0.0118%8 Aug →
dust210–130.0813%7 Aug →
nuke10–130.0215%7 Aug →
nuke13–70.0830%6 Aug →
dust213–5-0.0126%6 Aug →
dust213–100.0119%6 Aug →
inferno13–110.0313%5 Aug →
dust211–130.0922%5 Aug →
mirage3–80.0524%4 Aug →
dust215–150.0917%4 Aug →
inferno3–130.0128%3 Aug →
dust216–120.0318%2 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.