korelz

korelz — CS2 Stats

76561199206948439[U:1:1246682711]Steam profile ↗✓ No bans

1,800Tracked matches52%Win rate2022Tracked since
CSDB Rating7.4 StrongPositional Player
Premier CS Rating22,219Pink band · top ~6.1% of ranked players (population est.)
FaceitLevel 8 · 2,012 ELOTop 31.2% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGkorelzFACEITLevel 8 · 2,012 ELOSTANDINGTop 31.2% of rankedPREMIER22,219 · Pink bandcsdb.gg/stats

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Performance scores

Aim88
Positioning67
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateWWLWLLLWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.4pp headshot accuracy · −48ms 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 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 647ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 587ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 611ms

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 (+1.9 against its own average).

Aim8.8
Utility5.9
Positioning6.7
Opening Duels3.4
Clutch3.4

Sharp aimerExcellent counter-strafing

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

b1t

Plays most like b1t 96% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

CT openings. Opening success drops from 58% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 589ms 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

Aim8.8
Positioning6.7
Utility5.9
Mechanics9.3
Opening Duels4.6
Win Impact5.6

Composite 7.4/10 (Strong), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time593ms−44ms
first ⅓ avg 637ms → last ⅓ avg 593ms
Headshot accuracy20.0%+1.8%
first ⅓ avg 18.2% → last ⅓ avg 20.0%

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 · 13–4 · inferno, 8 Oct →
40%Best headshot accuracy · 13–11 · mirage, 25 Sept →
328msFastest reaction time · 13–7 · inferno, 25 Oct →
13–1Biggest win · mirage, 9 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
14–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 70% over 10nukeWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA3220–1263%0.03
dust2A2313–1057%0.01
infernoB137–654%0.03
anubisA116–555%0.03
cacheS107–370%0.01
nukeC73–443%-0.00
ancient—42–250%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,353Matches
50%Win rate
1.20Avg K/D
79.5ADR
50%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage37351%1.1516.9
Dust222954%1.2216.2
Inferno11550%1.2616.6
Ancient11541%1.0715.7
Anubis7548%1.0916.4
Cache3656%1.0915.2
Nuke2832%0.9814.8
Overpass2737%1.1615.1

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.

20.8%Headshot accuracy
36.7%Accuracy (enemy spotted)
44.1%Spray accuracy
91.9%Counter-strafing
8.5°Preaim
589msReaction time
57.7%T opening success
39.2%CT opening success
0.64Enemies flashed / flash
3.5%Flash assists
11.15HE damage / grenade
10.05Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.2305% — below the 40% mark we flag

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–90.0316%15 Nov →
anubis13–80.0416%14 Nov →
mirage3–13-0.0524%14 Nov →
mirage13–60.0937%13 Nov →
dust29–130.0222%13 Nov →
ancient11–130.0124%13 Nov →
inferno7–13-0.0432%13 Nov →
mirage13–110.0723%13 Nov →
cache7–13-0.0420%13 Nov →
inferno7–130.0722%13 Nov →
dust213–90.0217%13 Nov →
nuke13–100.0426%13 Nov →
nuke6–13-0.0819%12 Nov →
cache13–90.1729%12 Nov →
cache15–15-0.0127%12 Nov →
cache13–80.0818%12 Nov →
dust212–120.0322%12 Nov →
nuke13–70.0519%12 Nov →
nuke13–160.0520%11 Nov →
inferno10–13-0.0124%11 Nov →
inferno13–7-0.0021%11 Nov →
cache16–14-0.0613%11 Nov →
mirage9–130.0215%11 Nov →
dust27–130.0121%11 Nov →
inferno13–5-0.048%3 Nov →
dust25–13-0.0415%3 Nov →
mirage13–70.0720%3 Nov →
inferno11–13-0.0216%3 Nov →
inferno12–120.0423%3 Nov →
mirage13–50.1215%3 Nov →
inferno13–100.0311%3 Nov →
dust23–13-0.0314%3 Nov →
mirage8–130.0411%3 Nov →
dust20–13-0.098%2 Nov →
dust213–60.0726%2 Nov →
mirage9–13-0.056%2 Nov →
inferno13–70.0414%25 Oct →
nuke3–13-0.058%25 Oct →
anubis13–110.0229%25 Oct →
dust213–110.0430%25 Oct →
anubis11–13-0.0220%24 Oct →
mirage13–60.0013%24 Oct →
mirage13–70.1333%20 Oct →
nuke1–13-0.065%18 Oct →
inferno13–40.0918%13 Oct →
mirage6–130.0226%11 Oct →
dust22–13-0.0127%11 Oct →
dust25–130.0127%11 Oct →
dust213–100.0624%8 Oct →
inferno13–40.1824%8 Oct →
anubis13–70.0723%1 Oct →
mirage14–16-0.0321%28 Sept →
dust213–30.0711%27 Sept →
anubis13–90.1031%26 Sept →
mirage13–100.0115%26 Sept →
anubis9–130.0121%26 Sept →
dust213–6-0.0322%25 Sept →
mirage11–13-0.0117%25 Sept →
mirage13–110.0022%25 Sept →
mirage13–110.0440%25 Sept →
mirage4–130.0620%21 Sept →
inferno1–13-0.0325%20 Sept →
dust27–130.0029%20 Sept →
dust216–140.0418%17 Sept →
mirage13–70.0414%17 Sept →
anubis14–160.0219%14 Sept →
ancient13–80.0520%14 Sept →
mirage13–100.0117%13 Sept →
cache13–60.0423%4 Sept →
anubis9–13-0.0019%4 Sept →
dust213–6-0.0513%4 Sept →
mirage0–13-0.0711%26 Aug →
cache19–16-0.0316%6 Aug →
mirage16–140.0413%22 Jul →
mirage13–110.0418%22 Jul →
inferno16–140.0133%21 Jul →
anubis13–50.0814%20 Jul →
anubis13–100.0211%18 Jul →
mirage13–6-0.0122%17 Jul →
cache13–110.0315%17 Jul →
mirage9–130.0536%17 Jul →
mirage10–13-0.0115%16 Jul →
cache13–8-0.0214%10 Jul →
dust213–30.0018%9 Jul →
cache5–13-0.0127%1 Jul →
dust26–130.0611%23 Jun →
dust216–14-0.0122%23 Jun →
mirage12–160.0012%22 Jun →
dust213–50.0213%22 Jun →
ancient13–8-0.0216%15 Jun →
mirage13–110.0316%15 Jun →
anubis10–13-0.0324%15 Jun →
mirage13–80.0112%11 Jun →
dust213–80.0623%11 Jun →
dust213–110.0923%10 Jun →
mirage13–90.0421%10 Jun →
ancient13–16-0.078%9 Jun →
mirage13–10.0720%9 Jun →
mirage13–90.0619%9 Jun →
mirage13–90.0024%9 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K 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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