Koraans

Koraans — CS2 Stats

76561198089943671[U:1:129677943]Steam profile ↗✓ No bans

1,385Tracked matches53%Win rate2020Tracked since
CSDB Rating5.6 SolidClutch Specialist
Premier CS Rating16,808Purple band · top ~21.2% of ranked players (population est.)
FaceitLevel 3 · 1,095 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (2 days ago). 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: 16,808 -1,737 16 Aug – 27 Oct · 24 days played
16,67819,885peak 19,88516 Aug27 Oct
Faceit ELO: 1,095 +0 10 Sept – 3 Oct · 2 observations
1,0951,095peak 1,09510 Sept3 Oct
19,885Peak Premier in tracked matches
1,095Highest Faceit ELO seen on CSDB
30Days played since 2026-07-16

Faceit ELO

  • At peak — 1,095
  • 0 over 30 days · steady
  • Next: Level 6 at 1,201 — 106 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-10
  • Level 4 first seen 2026-09-10

Premier CS Rating

  • 3,077 below peak (19,885)
  • -1,380 over 30 days · declining
  • Next: Pink band at 20,000 — 3,192 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

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.

Share this profile

CSDB.GGKoraansFACEITLevel 3 · 1,095 ELOSTANDINGTop 90.6% of rankedPREMIER16,808 · Purple band30 DAYS0 ELOPEAK ELO1,095csdb.gg/stats

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Performance scores

Aim64
Positioning53
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWLLWLLWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +3.2pp headshot accuracy · +62ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 675ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 575ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2 against its own average).

Aim6.4
Utility4.9
Positioning5.3
Opening Duels0.9
Clutch6.4

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

iM

Plays most like iM 86% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 582ms 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

Aim6.4
Positioning5.3
Utility4.9
Mechanics6.8
Opening Duels2.4
Win Impact6.1

Composite 5.6/10 (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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time585ms−44ms
first ⅓ avg 629ms → last ⅓ avg 585ms
Headshot accuracy11.8%−0.9%
first ⅓ avg 12.7% → last ⅓ avg 11.8%

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

0.06Best match rating · 13–9 · dust2, 15 Oct →
25%Best headshot accuracy · 5–13 · nuke, 10 Sept →
242msFastest reaction time · 4–2 · mirage, 22 Oct →
13–1Biggest win · cache, 15 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–2In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 67% over 15mirageWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C198–1142%-0.04
anubisC167–944%-0.03
mirageC156–940%-0.04
infernoS1510–567%-0.03
ancientA117–464%-0.02
nukeC94–544%-0.06
cacheC73–443%-0.00
office—31–233%-0.06
vertigo—21–150%-0.11
train—11–0100%-0.03
eldorado—10–10%-0.20
italy—10–10%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

93Matches
52%Win rate
1.35Avg K/D
78.5ADR
37%Headshot %

Clutches & streaks

52%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust21947%0.7611.8
Mirage1267%1.0016.1
Ancient1136%0.9015.9
Inferno850%0.9817.3
Anubis540%0.7110.4
Nuke560%1.0120.0
Vertigo250%1.1815.5
Cache20%0.599.5

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.

12.1%Headshot accuracy
33.4%Accuracy (enemy spotted)
37.5%Spray accuracy
80.5%Counter-strafing
9.1°Preaim
582msReaction time
43.7%T opening success
35.1%CT opening success
0.46Enemies flashed / flash
7.9%Flash assists
8.74HE damage / grenade
7.47Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.0797% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4612 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 35.0957% — below the 40% mark we flag

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.

40% 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
ancient13–2-0.036%27 Oct →
anubis2–130.0122%27 Oct →
dust213–10-0.0213%26 Oct →
mirage6–13-0.0818%26 Oct →
inferno7–13-0.1011%26 Oct →
nuke13–6-0.0213%26 Oct →
anubis9–13-0.0316%23 Oct →
cache14–160.0211%22 Oct →
mirage13–11-0.0520%22 Oct →
dust213–100.0221%22 Oct →
mirage5–13-0.022%22 Oct →
ancient13–7-0.0616%22 Oct →
mirage4–2-0.1311%22 Oct →
anubis13–80.0213%22 Oct →
inferno13–6-0.036%21 Oct →
mirage11–130.037%21 Oct →
nuke13–5-0.0415%21 Oct →
office2–9-0.1020%21 Oct →
dust25–13-0.048%21 Oct →
dust213–10-0.0420%21 Oct →
nuke2–13-0.0713%21 Oct →
office13–11-0.0111%17 Oct →
train13–9-0.0314%17 Oct →
ancient10–13-0.046%17 Oct →
dust26–13-0.0416%17 Oct →
anubis13–30.042%17 Oct →
nuke3–13-0.0214%17 Oct →
vertigo13–11-0.069%16 Oct →
dust213–6-0.100%15 Oct →
cache4–13-0.0314%15 Oct →
ancient16–12-0.043%15 Oct →
anubis13–7-0.0210%15 Oct →
dust213–90.0611%15 Oct →
anubis6–13-0.079%15 Oct →
inferno13–4-0.0611%15 Oct →
cache11–6-0.0119%15 Oct →
nuke8–13-0.055%15 Oct →
cache13–10.030%15 Oct →
vertigo3–9-0.1717%15 Oct →
cache9–13-0.0211%14 Oct →
eldorado0–9-0.2021%14 Oct →
inferno2–9-0.243%14 Oct →
ancient9–130.053%14 Oct →
mirage10–13-0.017%14 Oct →
nuke6–9-0.1914%13 Oct →
anubis6–13-0.094%13 Oct →
dust212–16-0.036%12 Oct →
mirage10–13-0.045%12 Oct →
anubis6–13-0.057%11 Oct →
dust213–16-0.087%11 Oct →
anubis2–13-0.0513%11 Oct →
inferno13–8-0.019%11 Oct →
mirage15–15-0.0410%10 Oct →
ancient13–11-0.0111%10 Oct →
inferno13–70.019%10 Oct →
ancient16–12-0.059%10 Oct →
office2–13-0.0713%10 Oct →
anubis13–11-0.0712%29 Sept →
dust28–13-0.069%28 Sept →
inferno13–6-0.024%28 Sept →
inferno9–50.0510%28 Sept →
mirage13–60.0013%27 Sept →
ancient13–90.018%27 Sept →
dust27–13-0.049%27 Sept →
cache6–13-0.045%25 Sept →
inferno7–13-0.045%25 Sept →
mirage6–13-0.0710%23 Sept →
inferno13–10-0.0623%23 Sept →
anubis13–60.0312%23 Sept →
dust213–16-0.0617%21 Sept →
inferno16–130.0511%21 Sept →
mirage9–13-0.0810%10 Sept →
dust213–100.0114%10 Sept →
nuke5–13-0.0625%10 Sept →
mirage6–13-0.0815%10 Sept →
dust213–11-0.0115%10 Sept →
mirage13–2-0.039%10 Sept →
anubis4–13-0.059%10 Sept →
dust27–13-0.0415%8 Sept →
dust213–11-0.0612%3 Sept →
mirage13–10-0.025%3 Sept →
inferno13–8-0.0116%3 Sept →
anubis13–8-0.0310%3 Sept →
italy12–12-0.0112%3 Sept →
dust210–13-0.0715%27 Aug →
ancient13–80.0013%27 Aug →
dust21–9-0.069%27 Aug →
ancient10–13-0.0414%27 Aug →
cache13–50.0320%16 Aug →
inferno9–13-0.0214%16 Aug →
anubis13–16-0.077%16 Aug →
inferno13–11-0.028%11 Aug →
ancient5–13-0.025%11 Aug →
anubis15–15-0.064%11 Aug →
nuke13–6-0.0612%10 Aug →
nuke13–6-0.0313%10 Aug →
anubis13–7-0.032%29 Jul →
inferno10–13-0.0118%23 Jul →
dust28–13-0.0825%21 Jul →
mirage13–4-0.0311%16 Jul →

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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