sTand uP

sTand uP — CS2 Stats

DE76561198026217240[U:1:65951512]Steam profile ↗✓ No bans

984Tracked matches62%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,249 → 2,249
+10Tracked matches · now 984
−3.4ppWin rate · 65.5% → 62.1%

Rating over time

Premier CS Rating: 22,924 -4,593 22 May – 9 Jun · 18 days played
18,61028,743peak 28,74322 May9 Jun
Faceit ELO: 2,249 +0 31 Aug – 14 Sept · 2 observations
2,2492,249peak 2,24931 Aug14 Sept
28,743Peak Premier in tracked matches
2,249Highest Faceit ELO seen on CSDB
43Days played since 2025-05-22

Faceit ELO

  • At peak — 2,249
  • Next: 2,500 ELO at 2,500 — 251 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

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.

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CSDB.GGsTand uPPEAK ELO2,249csdb.gg/stats

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Performance scores

Aim79
Positioning61
Utility55

0–100 skill scores via Leetify.

Recent form

HOT59–39–2Last 10059%Win rateLWWWWLWLWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −8.5pp headshot accuracy · −77ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 581ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 560ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 30%
  • Avg reaction 599ms

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 (+0.9 against its own average).

Aim7.9
Utility5.5
Positioning6.1
Opening Duels3.4
Clutch5.8

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: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 603ms 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

Aim7.9
Positioning6.1
Utility5.5
Mechanics6.3
Opening Duels2.5
Win Impact9.0

Composite 6.5/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time605ms−59ms
first ⅓ avg 665ms → last ⅓ avg 605ms
Headshot accuracy30.0%+2.1%
first ⅓ avg 27.9% → last ⅓ avg 30.0%

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

0.18Best match rating · 13–5 · train, 1 Oct →
60%Best headshot accuracy · 2–13 · dust2, 3 Jun →
438msFastest reaction time · 7–13 · inferno, 23 Nov →
13–0Biggest win · dust2, 23 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 71% over 14dust2Weakest map · 52% over 31
MapGradePlayedRecordWin rateAvg rating
dust2B3116–1552%0.01
ancientB1910–953%0.02
nukeS1410–471%0.03
mirageA117–464%0.02
anubisA106–460%-0.01
infernoS96–367%0.02
train—31–233%0.04
cache—22–0100%0.03
brewery—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (52% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,485Matches
53%Win rate
1.15Avg K/D
79.0ADR
52%Headshot %

Clutches & streaks

49%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis8555%1.1516.7
Ancient6664%1.2918.2
Nuke5666%1.2517.9
Dust25556%1.1016.3
Inferno5549%1.0415.4
Mirage2544%1.2619.4
Train540%1.5819.6
Cache4100%1.6321.3

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.

29.0%Headshot accuracy
31.7%Accuracy (enemy spotted)
39.9%Spray accuracy
78.2%Counter-strafing
9.1°Preaim
603msReaction time
40.0%T opening success
40.1%CT opening success
0.57Enemies flashed / flash
13.1%Flash assists
9.48HE damage / grenade
7.29Flashes / 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 39.9779% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0619%30 Oct →
nuke13–9-0.0318%28 Oct →
anubis13–11-0.0321%31 Aug →
cache13–70.0221%31 Aug →
ancient13–8-0.0126%31 Aug →
dust28–13-0.0427%24 Aug →
cache13–110.0440%24 Aug →
ancient7–130.0425%24 Aug →
dust213–5-0.0223%24 Jul →
dust213–3-0.0239%9 Jun →
dust27–13-0.0244%9 Jun →
inferno13–100.0332%5 Jun →
dust213–40.0227%5 Jun →
mirage13–20.0752%5 Jun →
nuke8–13-0.0718%3 Jun →
mirage15–150.0323%3 Jun →
dust22–13-0.0860%3 Jun →
ancient10–13-0.0134%3 Jun →
mirage13–40.0624%1 Jun →
anubis4–13-0.0231%1 Jun →
dust213–70.1034%20 May →
nuke13–100.0112%20 May →
ancient13–70.0433%20 May →
dust213–100.0527%13 May →
dust213–30.1326%13 May →
nuke13–100.0129%13 May →
ancient13–160.0927%13 May →
ancient13–90.0238%13 May →
dust25–13-0.0121%25 Apr →
ancient3–13-0.0235%25 Apr →
mirage13–100.0131%25 Apr →
nuke13–4-0.0224%25 Apr →
dust28–130.0346%25 Apr →
anubis8–13-0.0621%19 Feb →
nuke7–130.1025%13 Jan →
ancient13–11-0.0212%13 Jan →
inferno13–11-0.0216%13 Jan →
nuke11–13-0.0017%13 Jan →
dust29–13-0.0427%4 Jan →
inferno13–6-0.0232%4 Jan →
ancient9–130.0124%15 Dec →
inferno13–90.0432%15 Dec →
dust213–90.0330%15 Dec →
nuke13–5-0.0328%24 Nov →
nuke10–13-0.0136%24 Nov →
inferno9–30.1040%24 Nov →
ancient13–80.0627%23 Nov →
dust213–00.0627%23 Nov →
dust213–80.0022%23 Nov →
ancient13–60.0126%23 Nov →
mirage13–30.0729%23 Nov →
inferno7–130.0119%23 Nov →
dust213–80.0433%20 Nov →
dust215–150.0126%19 Nov →
nuke13–50.1725%19 Nov →
mirage10–130.0124%19 Nov →
mirage13–90.0123%24 Oct →
dust213–70.0420%24 Oct →
inferno5–13-0.0132%24 Oct →
train13–50.1839%1 Oct →
dust213–80.0228%17 Sept →
ancient13–70.0429%3 Sept →
dust211–13-0.0325%31 Aug →
mirage12–160.0141%28 Aug →
dust26–13-0.0218%28 Aug →
dust29–130.0033%24 Aug →
brewery9–60.0637%12 Jul →
inferno9–50.1247%12 Jul →
anubis13–10-0.0222%1 Jul →
train11–13-0.0233%27 Jun →
ancient13–6-0.0130%27 Jun →
anubis13–50.0523%25 Jun →
mirage13–40.0629%25 Jun →
train6–12-0.0221%25 Jun →
anubis13–50.0121%17 Jun →
nuke13–50.0943%16 Jun →
nuke13–90.0230%10 Jun →
ancient13–80.1334%10 Jun →
ancient8–13-0.0216%9 Jun →
dust25–13-0.0440%6 Jun →
dust24–13-0.0314%5 Jun →
dust213–11-0.0016%3 Jun →
ancient5–13-0.0023%3 Jun →
nuke13–60.0429%3 Jun →
anubis10–13-0.0325%3 Jun →
ancient10–13-0.0327%1 Jun →
dust21–130.0238%1 Jun →
dust213–6-0.0119%1 Jun →
mirage2–13-0.0744%1 Jun →
anubis16–14-0.0221%1 Jun →
dust27–130.0722%26 May →
anubis9–130.0124%26 May →
nuke13–70.0733%25 May →
mirage13–11-0.0128%25 May →
ancient13–20.1428%25 May →
dust213–80.0035%23 May →
ancient11–13-0.0031%22 May →
dust29–10.0539%22 May →
anubis13–10.0315%22 May →
inferno8–13-0.0419%22 May →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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