Kurrent

Kurrent — CS2 Stats

US76561198851562129[U:1:891296401]Steam profile ↗✓ No bans

1,415Tracked matches52%Win rate2020Tracked since
5,314Hours in CS36Hrs last 2 wks
CSDB Rating6.9 SolidSupport
CSDB Leaderboard#3783 of 251135 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 27,522 +2,866 3 May – 19 Sept · 23 days played
24,65627,771peak 27,7713 May19 Sept
27,771Peak Premier in tracked matches
52Days played since 2026-04-29

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,332), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate51.5%48.2%50.9%meets
Shot accuracy14.7%13.3%13.7%above
Kill/death ratio1.781.071.09above
Match win rate48.8%46.9%48.4%meets

Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGKurrentFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim88
Positioning53
Utility77

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLWWLTLWWWL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +1.4pp headshot accuracy · +5ms reaction

Win rate down 20pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 493ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 485ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 482ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim8.8
Utility7.7
Positioning5.3
Opening Duels4.8
Clutch5.0

Sharp aimerStrong CT-side openerHigh utility contribution

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

device

Plays most like device 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning 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

Strengths

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

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 63% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning5.3
Utility7.7
Mechanics7.3
Opening Duels4.2
Win Impact5.6

Composite 6.9/10 (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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time490ms−11ms
first ⅓ avg 501ms → last ⅓ avg 490ms
Headshot accuracy20.5%−0.0%
first ⅓ avg 20.5% → last ⅓ avg 20.5%

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

0.16Best match rating · 13–2 · mirage, 7 Sept →
40%Best headshot accuracy · 8–1 · dust2, 25 Jul →
344msFastest reaction time · 13–2 · ancient, 29 Aug →
13–1Biggest win · cache, 16 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 71% over 17mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
cacheC229–1341%-0.00
anubisA1810–856%0.01
ancientS1712–571%0.04
infernoA1610–663%0.02
mirageC145–936%0.00
dust2B84–450%0.02
nuke—42–250%-0.01
overpass—10–10%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

173,119Lifetime kills
1.78K/D · Top 5% of Level 9 players
5,066Matches
48.8%Match win rate · Top 50% of Level 9 players
51.5%Headshot % · Top 50% of Level 9 players
14.7%Shot accuracy · Top 50% of Level 9 players
17,839MVPs
2,621Hours (in match)
2,645Bombs planted
3,399Bombs defused

Most-used weapons

AK-4768,595
AWP36,701
SSG 083,364
MP92,132
MAC-101,743

Lifetime map wins

8,529inferno
5,008nuke
4,822dust2
4,262vertigo
3,630train
351office
335cbble
61lake

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

Faceit stats

Combat

368Matches
54%Win rate
1.31Avg K/D
79.1ADR
39%Headshot %

Clutches & streaks

45%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient4459%1.2617.1
Anubis4360%1.2916.0
Mirage2952%1.2018.7
Inferno2467%1.3715.0
Vertigo1747%1.4317.1
Nuke1464%1.1817.4
Dust2850%1.0015.9
Overpass333%1.4316.7

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.

20.9%Headshot accuracy
36.8%Accuracy (enemy spotted)
36.6%Spray accuracy
83.0%Counter-strafing
7.8°Preaim
486msReaction time
30.5%T opening success
63.4%CT opening success
0.64Enemies flashed / flash
12.6%Flash assists
11.22HE damage / grenade
13.82Flashes / 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 30.4885% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0721%9 Oct →
mirage13–110.0113%21 Sept →
ancient13–30.0226%19 Sept →
mirage3–50.0324%19 Sept →
dust212–120.0320%18 Sept →
inferno2–130.0117%11 Sept →
mirage13–110.0425%11 Sept →
dust213–60.0431%7 Sept →
mirage13–20.1622%7 Sept →
anubis13–150.0115%5 Sept →
cache13–80.0428%4 Sept →
anubis13–70.0115%3 Sept →
cache9–13-0.0722%3 Sept →
anubis13–40.0218%3 Sept →
ancient13–20.1025%29 Aug →
cache13–5-0.0514%28 Aug →
cache10–13-0.0028%23 Aug →
dust22–13-0.0617%23 Aug →
mirage13–110.0321%23 Aug →
inferno13–90.0412%22 Aug →
anubis6–13-0.0125%22 Aug →
ancient13–80.0921%15 Aug →
ancient16–140.0125%12 Aug →
inferno0–2-0.010%9 Aug →
ancient13–110.1123%9 Aug →
dust211–130.0537%7 Aug →
inferno8–13-0.0617%7 Aug →
anubis4–13-0.0412%1 Aug →
ancient2–13-0.0616%31 Jul →
inferno6–13-0.0719%31 Jul →
inferno13–10-0.0134%28 Jul →
ancient13–70.0311%28 Jul →
inferno13–60.1027%27 Jul →
anubis5–13-0.0422%27 Jul →
anubis13–6-0.0119%26 Jul →
ancient7–130.0213%25 Jul →
dust25–130.0132%25 Jul →
anubis13–100.0333%25 Jul →
cache5–13-0.0516%25 Jul →
dust28–10.0240%25 Jul →
inferno13–70.0527%25 Jul →
mirage7–13-0.0018%25 Jul →
inferno13–100.0220%19 Jul →
mirage4–13-0.0726%19 Jul →
anubis9–130.0513%17 Jul →
ancient13–30.1612%16 Jul →
cache13–10.0433%16 Jul →
anubis13–10-0.0314%15 Jul →
ancient13–9-0.0126%11 Jul →
mirage9–130.0212%11 Jul →
anubis13–50.0324%10 Jul →
inferno13–30.0433%10 Jul →
cache13–30.0225%10 Jul →
anubis13–40.0921%9 Jul →
cache15–15-0.0110%9 Jul →
dust213–2-0.0218%6 Jul →
ancient13–80.0222%6 Jul →
ancient6–13-0.065%4 Jul →
anubis13–70.0521%4 Jul →
cache11–1-0.0327%4 Jul →
anubis13–70.0727%3 Jul →
ancient13–30.0616%3 Jul →
cache12–12-0.0419%1 Jul →
mirage0–3-0.0925%28 Jun →
nuke13–8-0.0325%23 Jun →
inferno13–40.0421%20 Jun →
anubis5–13-0.0620%19 Jun →
anubis6–13-0.0312%19 Jun →
inferno13–30.1529%19 Jun →
mirage13–50.0316%13 Jun →
mirage1–30.000%13 Jun →
nuke7–130.000%13 Jun →
overpass3–130.000%12 Jun →
inferno4–130.000%12 Jun →
ancient13–10.0621%7 Jun →
mirage12–12-0.0420%7 Jun →
cache12–120.0228%7 Jun →
cache13–60.0018%4 Jun →
mirage3–13-0.0214%4 Jun →
mirage4–13-0.0632%4 Jun →
dust213–110.0730%31 May →
ancient13–40.0833%31 May →
inferno13–6-0.0225%31 May →
inferno13–110.0120%25 May →
cache5–130.0837%25 May →
anubis13–20.0632%25 May →
nuke3–13-0.0328%25 May →
ancient11–130.0020%16 May →
inferno4–130.0125%16 May →
cache12–12-0.0428%7 May →
cache11–13-0.0324%6 May →
ancient8–130.019%5 May →
cache7–130.0216%5 May →
nuke13–30.0432%3 May →
cache13–80.0933%3 May →
cache13–60.027%2 May →
cache8–13-0.0321%2 May →
cache3–13-0.0126%30 Apr →
anubis1–13-0.0730%29 Apr →
cache13–110.0513%29 Apr →

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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