EndRz

EndRz — CS2 Stats

US76561198401347512[U:1:441081784]Steam profile ↗✓ No bans

1,187Tracked matches38%Win rate2023Tracked since
2,403Hours in CS25Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 868 → 868
+6Tracked matches · now 1,187
+3.5ppWin rate · 34.5% → 37.9%

Rating over time

Premier CS Rating: 10,182 +2,544 24 May – 30 Aug · 7 days played
7,63810,182peak 10,18224 May30 Aug
Faceit ELO: 868 +0 30 Aug – 5 Oct · 2 observations
868868peak 86830 Aug5 Oct
10,182Peak Premier in tracked matches
868Highest Faceit ELO seen on CSDB
53Days played since 2026-02-03

Faceit ELO

  • At peak — 868
  • 0 over 30 days · steady
  • Next: Level 4 at 901 — 33 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-30
  • Level 2 first seen 2026-08-30

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
Matches1118−7
Win rate55%44%+10pp
K/D0.811.10−0.29
Headshot %33%30%+3pp

Measured 5 Oct 2026 → 11 Oct 2026; previous 25 Sep 2026 → 5 Oct 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.

Share this profile

CSDB.GGEndRz30 DAYS0 ELOPEAK ELO868csdb.gg/stats

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Performance scores

Aim63
Positioning61
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWWLWLWLWW

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · −9.2pp headshot accuracy · −57ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 574ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 618ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 647ms

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 Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim6.3
Utility3.5
Positioning6.1
Opening Duels3.6
Clutch3.0

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

donk

Plays most like donk 89% 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

Reaction time. 642ms 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

Aim6.3
Positioning6.1
Utility3.5
Mechanics4.8
Opening Duels3.9
Win Impact1.0

Composite 4.4/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time642ms−60ms
first ⅓ avg 702ms → last ⅓ avg 642ms
Headshot accuracy22.6%+5.6%
first ⅓ avg 17.0% → last ⅓ avg 22.6%

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

0.17Best match rating · 13–3 · ancient, 6 Oct →
60%Best headshot accuracy · 3–13 · cache, 30 Apr →
500msFastest reaction time · 16–13 · inferno, 13 May →
13–1Biggest win · inferno, 27 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 58% over 12mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeC198–1142%-0.04
infernoA1810–856%-0.03
anubisC167–944%-0.04
mirageD155–1033%-0.03
ancientA127–558%-0.01
cacheD93–633%-0.02
dust2—42–250%-0.05
vertigo—32–167%0.04
train—22–0100%-0.03
overpass—22–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,722Lifetime kills
0.89K/D
2,753Matches
40.2%Match win rate
42.5%Headshot %
8.5%Shot accuracy
10,591MVPs
1,320Hours (in match)
2,232Bombs planted
3,458Bombs defused

Most-used weapons

AK-4720,765
AWP9,788
Knife1,263
P2501,164

Lifetime map wins

4,048dust2
3,917inferno
2,646nuke
2,012train
1,590vertigo
291cbble
31office
19lake

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

Faceit stats

Combat

408Matches
46%Win rate
0.83Avg K/D
77.5ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
14%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient5556%1.0015.2
Anubis4052%0.9815.8
Mirage4055%0.9114.4
Vertigo3342%0.8215.0
Inferno3043%1.0015.6
Overpass2669%0.9916.2
Nuke2635%0.8913.2
Dust21735%0.7612.7

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.

23.3%Headshot accuracy
33.1%Accuracy (enemy spotted)
33.2%Spray accuracy
71.5%Counter-strafing
8.9°Preaim
642msReaction time
41.3%T opening success
49.7%CT opening success
0.49Enemies flashed / flash
4.8%Flash assists
5.17HE damage / grenade
3.58Flashes / 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 0.4921 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0513%11 Oct →
inferno13–9-0.0019%11 Oct →
ancient13–30.1725%6 Oct →
cache8–13-0.0818%6 Oct →
inferno13–10-0.038%6 Oct →
dust28–13-0.0228%1 Oct →
nuke13–110.0211%1 Oct →
nuke14–160.0432%29 Sept →
nuke9–5-0.053%28 Sept →
vertigo9–10.1420%28 Sept →
mirage9–13-0.029%27 Sept →
cache10–13-0.0318%27 Sept →
train13–11-0.0320%24 Sept →
anubis4–13-0.0440%24 Sept →
nuke10–13-0.0427%22 Sept →
cache8–13-0.0632%22 Sept →
mirage10–13-0.0238%22 Sept →
nuke6–13-0.0228%15 Sept →
mirage13–50.0526%15 Sept →
ancient6–13-0.0130%14 Sept →
nuke9–13-0.070%10 Sept →
cache13–110.0518%10 Sept →
ancient13–10-0.0414%7 Sept →
cache8–130.0025%7 Sept →
inferno12–12-0.0228%7 Sept →
anubis4–13-0.058%4 Sept →
mirage10–13-0.0354%4 Sept →
anubis13–3-0.0225%4 Sept →
inferno9–13-0.0322%1 Sept →
nuke7–13-0.0710%1 Sept →
nuke13–10-0.0844%27 Aug →
cache16–130.0228%27 Aug →
nuke13–11-0.0226%27 Aug →
anubis8–13-0.0621%12 Aug →
inferno6–13-0.0614%11 Aug →
mirage6–13-0.0517%11 Aug →
anubis13–11-0.0836%8 Aug →
vertigo13–8-0.0110%3 Aug →
mirage13–10-0.0914%3 Aug →
cache13–8-0.0311%7 Jul →
mirage7–13-0.0417%30 Jun →
ancient10–13-0.049%30 Jun →
mirage15–150.0017%27 Jun →
inferno13–30.0314%27 Jun →
mirage13–10-0.0419%25 Jun →
anubis4–13-0.0713%25 Jun →
nuke13–10-0.0512%23 Jun →
dust213–9-0.077%18 Jun →
dust213–7-0.0428%17 Jun →
inferno13–2-0.0227%10 Jun →
inferno13–9-0.0522%9 Jun →
nuke12–12-0.0415%9 Jun →
cache10–13-0.0518%6 Jun →
vertigo11–13-0.0116%6 Jun →
anubis13–11-0.0714%5 Jun →
anubis13–9-0.0716%2 Jun →
anubis13–5-0.0415%2 Jun →
ancient13–8-0.0415%28 May →
nuke13–3-0.0419%28 May →
anubis11–13-0.0222%28 May →
ancient13–10-0.0132%28 May →
inferno13–70.0011%26 May →
mirage4–13-0.106%26 May →
ancient16–14-0.0112%24 May →
anubis13–2-0.0417%24 May →
inferno13–8-0.0212%24 May →
dust28–13-0.0538%21 May →
mirage13–50.039%21 May →
overpass13–4-0.0415%21 May →
overpass13–60.1116%21 May →
inferno11–13-0.0218%20 May →
ancient13–7-0.0512%20 May →
ancient6–13-0.113%20 May →
train13–10-0.049%16 May →
nuke5–13-0.054%14 May →
anubis10–13-0.0417%13 May →
inferno16–13-0.0414%13 May →
anubis2–13-0.0118%9 May →
nuke14–16-0.0017%7 May →
cache3–13-0.0460%30 Apr →
mirage9–13-0.0023%23 Apr →
mirage4–13-0.0614%23 Mar →
anubis11–120.0125%17 Mar →
anubis11–13-0.0429%9 Mar →
mirage11–13-0.0613%3 Mar →
nuke5–0-0.0920%3 Mar →
inferno13–9-0.0622%3 Mar →
inferno13–10.0312%27 Feb →
inferno12–12-0.0811%22 Feb →
nuke8–13-0.0420%22 Feb →
anubis13–30.0225%22 Feb →
inferno4–13-0.0910%12 Feb →
nuke13–90.0118%12 Feb →
ancient12–160.0117%8 Feb →
ancient10–130.0229%8 Feb →
nuke1–13-0.058%8 Feb →
inferno5–13-0.0611%8 Feb →
ancient13–110.0020%4 Feb →
inferno8–13-0.038%3 Feb →
mirage13–11-0.0215%3 Feb →

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 →

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