Everest

Everest — CS2 Stats

DE76561198106466792[U:1:146201064]Steam profile ↗✓ No bans

969Tracked matches55%Win rate2020Tracked since
4,573Hours in CS
CSDB Rating5.9 SolidAll-Rounder
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,529 +4,791 29 Sept – 27 Dec · 43 days played
11,46818,165peak 18,16529 Sept27 Dec
18,397Peak Premier in tracked matches
47Days played since 2025-09-25

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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate51.1%44.8%45.7%above
Shot accuracy19.0%12.4%12.7%above
Kill/death ratio0.791.031.050.26 short
Match win rate69.6%45.2%45.7%above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEverestFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning50
Utility51

0–100 skill scores via Leetify.

Recent form

COLD55–43–2Last 10055%Win rateLWLLLLLWWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +4.8pp headshot accuracy · −146ms 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 37%
  • Avg reaction 589ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 605ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 678ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim7.1
Utility5.1
Positioning5.0
Opening Duels3.0

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 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Reaction time. 675ms 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

Aim7.1
Positioning5.0
Utility5.1
Mechanics7.9
Opening Duels1.7
Win Impact6.7

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time685ms+21ms
first ⅓ avg 663ms → last ⅓ avg 685ms
Headshot accuracy21.7%+0.7%
first ⅓ avg 21.1% → last ⅓ avg 21.7%

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 · 13–0 · train, 22 Nov →
100%Best headshot accuracy · 0–13 · dust2, 18 Jan →
453msFastest reaction time · 0–13 · dust2, 18 Jan →
13–0Biggest win · train, 22 Nov →

Across the last 100 tracked matches.

Highlights

10Longest win streak
9–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 80% over 10overpassWeakest map · 42% over 26
MapGradePlayedRecordWin rateAvg rating
overpassC2611–1542%0.01
infernoA2113–862%0.02
mirageS2013–765%0.03
trainB126–650%0.02
dust2S108–280%-0.02
ancientA53–260%-0.03
nuke—41–325%-0.02
anubis—10–10%-0.03
vertigo—10–10%-0.07

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (42% over 26). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

104,988Lifetime kills
0.79K/D
9,908Matches
69.6%Match win rate · Top 5% of Level 6 players
51.1%Headshot % · Top 25% of Level 6 players
19.0%Shot accuracy · Top 10% of Level 6 players
8,237MVPs
4,573Hours (in match)
2,163Bombs planted
833Bombs defused

Most-used weapons

AK-4745,451
AWP13,450
FAMAS1,813
Tec-91,697
P901,596
MAC-101,546

Lifetime map wins

8,809dust2
6,127inferno
1,733train
1,029vertigo
874nuke
779cbble
117lake
115office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.2%Headshot accuracy
32.8%Accuracy (enemy spotted)
40.1%Spray accuracy
85.8%Counter-strafing
8.9°Preaim
675msReaction time
34.5%T opening success
39.3%CT opening success
0.51Enemies flashed / flash
5.3%Flash assists
8.76HE damage / grenade
7.37Flashes / 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. 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 34.4859% — below the 40% mark we flag

Spend your practice time on Overpass

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

42% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0123%27 Jan →
dust213–30.0628%27 Jan →
anubis10–13-0.0320%18 Jan →
dust20–13-0.05100%18 Jan →
overpass7–13-0.0315%27 Dec →
overpass13–16-0.019%27 Dec →
mirage5–130.0119%22 Dec →
mirage13–30.0213%22 Dec →
overpass13–90.0212%22 Dec →
vertigo6–13-0.0719%19 Dec →
train4–13-0.0820%19 Dec →
inferno4–13-0.0836%17 Dec →
dust213–11-0.0415%17 Dec →
mirage13–20.013%15 Dec →
overpass11–13-0.0122%15 Dec →
ancient13–90.0118%11 Dec →
mirage2–13-0.0538%11 Dec →
inferno13–50.0515%11 Dec →
overpass13–40.0828%10 Dec →
inferno11–130.0013%10 Dec →
dust216–13-0.0812%9 Dec →
mirage13–11-0.0119%9 Dec →
overpass13–100.0224%8 Dec →
train13–110.0112%8 Dec →
mirage13–90.0818%7 Dec →
mirage13–90.0522%6 Dec →
dust213–10-0.0428%4 Dec →
inferno15–15-0.0319%4 Dec →
overpass11–13-0.0718%3 Dec →
mirage13–110.0716%3 Dec →
train8–13-0.0320%2 Dec →
mirage13–110.0325%2 Dec →
train0–9-0.0822%2 Dec →
ancient13–9-0.0614%1 Dec →
overpass11–13-0.0217%1 Dec →
mirage13–70.0224%30 Nov →
nuke5–13-0.0617%30 Nov →
inferno2–13-0.0618%30 Nov →
inferno13–60.0314%30 Nov →
inferno13–90.0122%30 Nov →
overpass13–40.0523%29 Nov →
mirage13–20.0529%29 Nov →
train13–100.0621%29 Nov →
overpass13–70.0720%26 Nov →
overpass2–13-0.0828%25 Nov →
inferno13–8-0.0117%25 Nov →
mirage7–13-0.0114%25 Nov →
overpass16–14-0.0015%24 Nov →
inferno13–100.0435%24 Nov →
dust213–7-0.0521%24 Nov →
overpass15–150.0217%23 Nov →
train8–130.0214%23 Nov →
ancient12–16-0.0819%23 Nov →
inferno13–40.1121%23 Nov →
overpass10–130.0717%22 Nov →
train13–6-0.016%22 Nov →
overpass11–13-0.0423%22 Nov →
inferno13–90.0518%22 Nov →
nuke11–13-0.0635%22 Nov →
train13–00.1521%22 Nov →
ancient7–13-0.0114%17 Nov →
inferno5–13-0.0122%16 Nov →
mirage13–80.0526%14 Nov →
mirage13–40.0725%14 Nov →
inferno10–130.0217%14 Nov →
inferno13–110.0921%14 Nov →
nuke5–130.0123%14 Nov →
overpass10–13-0.0220%14 Nov →
mirage13–50.1130%13 Nov →
nuke16–130.0320%13 Nov →
overpass13–90.0521%12 Nov →
inferno13–60.0618%12 Nov →
mirage13–10-0.0032%2 Nov →
inferno13–80.0127%1 Nov →
dust213–20.1234%1 Nov →
ancient13–8-0.0214%31 Oct →
train13–40.0620%30 Oct →
overpass13–50.0710%30 Oct →
mirage10–130.0615%28 Oct →
overpass13–16-0.0222%27 Oct →
train11–130.0117%27 Oct →
overpass11–13-0.0422%26 Oct →
overpass13–30.0230%20 Oct →
inferno13–100.0213%20 Oct →
dust213–7-0.0316%19 Oct →
overpass6–13-0.0135%17 Oct →
overpass13–50.0535%17 Oct →
overpass0–8-0.0217%15 Oct →
mirage12–16-0.0018%14 Oct →
inferno13–100.0213%13 Oct →
inferno9–13-0.0712%13 Oct →
dust25–13-0.0511%11 Oct →
inferno3–130.0016%11 Oct →
mirage8–130.0126%9 Oct →
train13–110.0321%9 Oct →
dust213–10-0.0219%9 Oct →
inferno13–70.0924%29 Sept →
train8–130.0314%28 Sept →
overpass16–140.0621%28 Sept →
overpass8–130.0330%25 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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