KorvN

KorvN — CS2 Stats

76561198133599971[U:1:173334243]Steam profile ↗✓ No bans

920Tracked matches57%Win rate2020Tracked since
CSDB Rating6.9 SolidAll-Rounder
Premier CS Rating23,151Top 25% of 205,416 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#40414 of 252623 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

+492Premier CS Rating · 22,659 → 23,151

Rating over time

Premier CS Rating: 23,151 +775 14 Aug – 17 Oct · 17 days played
21,52025,574peak 25,57414 Aug17 Oct
25,574Peak Premier in tracked matches
46Days played since 2025-08-14

Premier CS Rating

  • 2,423 below peak (25,574)
  • +492 over 30 days · improving
  • Next: Red band at 25,000 — 1,849 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGKorvNFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER23,151 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning66
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateLLWWWWLWLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −3.5pp headshot accuracy · −56ms reaction

Win rate 0pp 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 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 477ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 480ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 508ms

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.

Aim7.4
Utility6.6
Positioning6.6
Opening Duels5.4

Effective flashes

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

jL

Plays most like jL 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.4
Positioning6.6
Utility6.6
Mechanics6.1
Opening Duels6.2
Win Impact7.4

Composite 6.9/10 (Solid), 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 rating0.03+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time549ms−2ms
first ⅓ avg 551ms → last ⅓ avg 549ms
Headshot accuracy18.5%−0.2%
first ⅓ avg 18.6% → last ⅓ avg 18.5%

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

0.21Best match rating · 13–4 · inferno, 17 Jan →
53%Best headshot accuracy · 13–3 · dust2, 18 Oct →
391msFastest reaction time · 13–5 · mirage, 26 Jan →
13–2Biggest win · mirage, 11 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
6–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 71% over 7ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB3719–1851%0.03
infernoA138–562%0.04
dust2A106–460%0.03
cacheA95–456%0.04
ancientD93–633%0.01
nukeB84–450%0.02
overpassS75–271%0.01
anubis—32–167%0.03
train—21–150%0.02
stronghold—10–10%0.03
office—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,424Matches
53%Win rate
1.28Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
18Longest win streak

Recent Faceit resultsWWWWW

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.

19.2%Headshot accuracy
33.3%Accuracy (enemy spotted)
33.8%Spray accuracy
77.6%Counter-strafing
8.2°Preaim
536msReaction time
52.0%T opening success
57.7%CT opening success
0.70Enemies flashed / flash
12.1%Flash assists
11.32HE damage / grenade
9.42Flashes / match

Recommended for you

Spend your practice time on Ancient

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 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.028%17 Oct →
cache10–130.0925%17 Oct →
dust213–70.0524%12 Sept →
cache13–30.0019%12 Sept →
ancient10–10.0813%12 Sept →
mirage13–60.0225%12 Sept →
mirage13–160.0223%12 Sept →
mirage13–2-0.0514%11 Sept →
nuke14–16-0.0214%11 Sept →
inferno13–70.0520%18 Aug →
mirage9–130.0122%18 Aug →
mirage7–130.0213%18 Aug →
nuke13–3-0.0115%17 Aug →
cache13–40.0124%17 Aug →
dust213–30.0221%17 Aug →
mirage13–110.0918%12 Aug →
mirage10–130.0026%12 Aug →
dust29–130.0123%12 Aug →
anubis13–100.0128%15 Jul →
cache13–6-0.0129%24 Jun →
mirage13–40.0320%13 Jun →
mirage13–80.1525%2 Jun →
cache13–100.0924%1 Jun →
stronghold11–130.0312%29 May →
mirage12–12-0.0013%29 May →
cache9–130.0221%3 May →
cache2–130.0610%3 May →
cache13–80.0716%2 May →
cache12–12-0.0013%2 May →
mirage4–13-0.0713%25 Apr →
mirage8–13-0.026%7 Apr →
mirage13–20.1019%26 Mar →
mirage13–80.1017%25 Mar →
mirage10–13-0.0116%19 Mar →
nuke13–40.1128%26 Jan →
overpass13–80.0515%26 Jan →
mirage13–50.0525%26 Jan →
anubis13–70.106%26 Jan →
dust213–60.0918%26 Jan →
inferno2–13-0.0615%24 Jan →
anubis14–16-0.0114%24 Jan →
inferno8–130.0014%21 Jan →
ancient13–8-0.019%18 Jan →
mirage13–8-0.0026%18 Jan →
inferno13–40.2121%17 Jan →
mirage5–13-0.0619%8 Jan →
dust210–130.0215%4 Jan →
mirage12–120.0010%30 Dec →
mirage6–130.0321%30 Dec →
ancient5–13-0.089%30 Dec →
mirage16–140.0418%29 Dec →
train5–130.0210%29 Dec →
ancient9–130.1522%29 Dec →
inferno13–50.0135%29 Dec →
ancient10–130.0422%28 Dec →
nuke5–130.0226%28 Dec →
nuke15–150.0416%28 Dec →
ancient15–150.047%27 Dec →
dust25–130.0211%27 Dec →
inferno13–40.0710%27 Dec →
mirage13–100.1115%27 Dec →
inferno6–13-0.0311%27 Dec →
mirage2–13-0.0231%23 Dec →
mirage8–13-0.0115%23 Dec →
overpass11–130.0026%20 Dec →
dust21–13-0.039%5 Dec →
mirage13–60.1734%5 Dec →
mirage6–13-0.0419%5 Dec →
mirage5–13-0.0612%29 Oct →
dust213–90.0733%29 Oct →
ancient13–16-0.0621%29 Oct →
mirage13–50.0923%21 Oct →
dust213–30.0653%18 Oct →
ancient8–13-0.0226%8 Oct →
mirage9–130.0322%8 Oct →
overpass13–110.0310%24 Sept →
inferno13–50.1120%8 Sept →
overpass13–110.0116%3 Sept →
nuke13–8-0.0228%3 Sept →
mirage15–15-0.059%3 Sept →
mirage13–90.0210%3 Sept →
mirage13–70.0618%22 Aug →
nuke13–90.0316%20 Aug →
office13–80.0327%17 Aug →
ancient13–10-0.018%16 Aug →
overpass4–13-0.0821%15 Aug →
train13–70.0214%15 Aug →
dust213–70.0413%15 Aug →
mirage13–80.0123%15 Aug →
inferno13–60.0914%15 Aug →
mirage13–90.0917%15 Aug →
overpass13–90.0016%15 Aug →
overpass5–10.048%15 Aug →
nuke11–130.0022%15 Aug →
inferno13–110.0612%15 Aug →
mirage15–150.1717%14 Aug →
inferno13–100.1024%14 Aug →
mirage13–110.0918%14 Aug →
inferno3–13-0.0316%14 Aug →
mirage13–9-0.029%14 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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