KolbenKonrad420 — CS2 Stats

76561198405059912[U:1:444794184]✓ No bans

2,132Tracked matches33%Win rate2024Tracked since
CSDB Rating2.7 Learning
Premier CS Rating5,309Light Blue band · top ~77.3% of ranked players (population est.)
CSDB Leaderboard#42217 of 55318 tracked
FaceitLevel 2 · 543 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Share this profile

CSDB.GGKolbenKonrad420FACEITLevel 2 · 543 ELOSTANDINGTop 97.9% of rankedPREMIER5,309 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim37
Positioning36
Utility42

0–100 skill scores via Leetify.

Recent form

COLD41581Last 10041%Win rateLLLLLLLWWW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Aim3.7
Aggression4.5
Utility4.2
Positioning3.6
Opening Duels0.8
Clutch2.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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. 620ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7
Positioning3.6
Utility4.2
Mechanics2.8
Opening Duels1.0
Win Impact0.0

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time611ms−68ms
first ⅓ avg 679ms → last ⅓ avg 611ms
Headshot accuracy22.1%+7.3%
first ⅓ avg 14.8% → last ⅓ avg 22.1%

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.

Highlights

0.12Best rating — inferno 12–6
130Biggest win — cache
5Longest win streak
L7Current streak
129In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 55% over 11mirageWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
mirageC2071335%-0.02
anubisC1761135%-0.04
infernoB178947%-0.01
nukeC146843%0.01
dust2C114736%0.01
ancientA116555%-0.01
cacheB63350%-0.00
vertigo31233%-0.05
overpass1010%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

200Matches
46%Win rate
0.94Avg K/D
72.5ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5151%0.9212.8
Dust24854%0.8613.2
Inferno3339%1.1513.3
Anubis1926%0.9713.5
Nuke1942%0.8312.6
Ancient1443%0.8513.1
Vertigo1338%0.9213.7
Overpass2100%1.1217.5

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.

20.3%Headshot accuracy
30.3%Accuracy (enemy spotted)
28.7%Spray accuracy
62.7%Counter-strafing
11.8°Preaim
620msReaction time
28.3%T opening success
37.8%CT opening success
0.52Enemies flashed / flash
6.5%Flash assists
6.46HE damage / grenade
7.95Flashes / 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 28.3392% — 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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0533%30 Aug
dust24–13-0.060%30 Aug
cache3–13-0.0243%30 Aug
inferno5–90.0036%26 Aug
dust213–16-0.0020%25 Aug
anubis5–13-0.0930%25 Aug
cache3–13-0.0536%25 Aug
mirage16–140.0117%25 Aug
ancient12–60.0516%25 Aug
inferno9–5-0.1413%25 Aug
anubis10–13-0.0215%25 Aug
mirage13–11-0.0230%25 Aug
vertigo9–4-0.0717%25 Aug
inferno9–50.096%25 Aug
inferno7–9-0.0255%25 Aug
overpass9–130.0220%24 Aug
anubis2–13-0.0313%24 Aug
anubis3–13-0.0913%24 Aug
dust25–130.1013%24 Aug
ancient10–130.069%24 Aug
cache13–00.0739%24 Aug
mirage4–6-0.0525%24 Aug
ancient13–60.0227%24 Aug
mirage9–130.0215%24 Aug
nuke0–13-0.0222%24 Aug
mirage12–16-0.0028%21 Aug
mirage7–130.0214%21 Aug
inferno3–9-0.1024%21 Aug
inferno9–130.0020%20 Aug
cache13–50.0221%20 Aug
nuke7–9-0.0219%20 Aug
anubis13–100.0323%20 Aug
nuke13–10-0.0217%20 Aug
nuke8–8-0.0210%20 Aug
anubis16–14-0.0313%20 Aug
nuke13–110.0611%20 Aug
ancient2–130.0117%19 Aug
anubis5–13-0.1228%16 Aug
mirage7–130.0016%16 Aug
dust210–13-0.0217%16 Aug
nuke7–13-0.0216%15 Aug
dust29–130.047%15 Aug
ancient13–11-0.0414%15 Aug
anubis3–4-0.0221%15 Aug
ancient11–13-0.018%15 Aug
dust22–13-0.0521%15 Aug
mirage8–13-0.0613%14 Aug
nuke13–60.0411%14 Aug
dust213–90.0225%13 Aug
inferno16–130.0710%13 Aug
mirage13–100.0516%13 Aug
inferno13–80.0820%13 Aug
vertigo4–13-0.0111%11 Aug
anubis13–7-0.093%10 Aug
anubis13–110.0012%7 Aug
anubis7–13-0.0710%7 Aug
mirage5–9-0.060%5 Aug
ancient13–80.0121%5 Aug
inferno9–13-0.0827%5 Aug
mirage13–5-0.0211%5 Aug
mirage13–40.0210%5 Aug
inferno13–6-0.0113%5 Aug
vertigo5–9-0.0616%4 Aug
inferno9–5-0.0617%4 Aug
inferno9–70.0418%4 Aug
inferno9–5-0.0529%4 Aug
inferno4–9-0.0813%4 Aug
mirage13–30.057%31 Jul
nuke9–13-0.0419%30 Jul
mirage2–11-0.0322%30 Jul
ancient11–13-0.0419%30 Jul
nuke2–13-0.0322%30 Jul
nuke13–90.0629%29 Jul
inferno12–60.126%29 Jul
anubis11–13-0.0018%29 Jul
dust213–110.0517%29 Jul
nuke4–130.0032%29 Jul
ancient14–16-0.037%28 Jul
mirage6–13-0.079%27 Jul
cache13–50.0218%27 Jul
nuke2–130.0212%27 Jul
dust213–11-0.0015%27 Jul
ancient13–7-0.0316%27 Jul
anubis8–130.039%27 Jul
mirage11–13-0.0915%27 Jul
inferno8–130.0123%27 Jul
nuke16–140.0920%27 Jul
cache5–13-0.076%27 Jul
mirage5–13-0.0818%27 Jul
anubis13–100.0110%27 Jul
anubis9–13-0.044%26 Jul
ancient9–0-0.080%26 Jul
mirage13–110.0312%26 Jul
anubis9–13-0.0713%26 Jul
dust213–8-0.009%26 Jul
inferno6–130.015%21 Jul
mirage11–13-0.0714%19 Jul
nuke13–9-0.0131%13 Jul
mirage12–16-0.0119%13 Jul
dust25–130.0313%13 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 →