Krib

Krib — CS2 Stats

US76561198297758501[U:1:337492773]Steam profile ↗✓ No bans

1,781Tracked matches41%Win rate2020Tracked since
CSDB Rating4.8 Developing
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKribFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning35
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY46495Last 10046%Win rateWTWLLWLLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim5.6
Aggression2.4
Utility6.2
Positioning3.5
Opening Duels0.0
Clutch4.4

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 78% playstyle similarity

Most alike: utility contribution, 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

T-side openings. Opening success drops from 37% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 705ms 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

Aim5.6
Positioning3.5
Utility6.2
Mechanics8.1
Opening Duels0.9
Win Impact2.1

Composite 4.8/10 (Developing), 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-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time712ms+17ms
first ⅓ avg 695ms → last ⅓ avg 712ms
Headshot accuracy24.7%+2.7%
first ⅓ avg 22.1% → last ⅓ avg 24.7%

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 — mirage 13–1
131Biggest win — mirage
5Longest win streak
58In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 63% over 24infernoWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2415963%-0.01
mirageC146843%-0.02
ancientA148657%-0.00
nukeC125742%-0.01
anubisA116555%-0.01
infernoD101910%-0.01
vertigoD72529%-0.02
cacheD51420%-0.03
train32167%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

28Matches
29%Win rate
0.84Avg K/D
69.7ADR
48%Headshot %

Clutches & streaks

42%1v1 clutch win
7%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient540%0.6511.8
Nuke520%1.1119.6
Anubis425%1.0214.3
Vertigo450%0.6810.3
Dust2333%0.8516.7
Mirage20%0.6013.0
Inferno10%0.6712.0

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.

24.4%Headshot accuracy
27.3%Accuracy (enemy spotted)
26.0%Spray accuracy
86.7%Counter-strafing
8.9°Preaim
705msReaction time
16.8%T opening success
37.0%CT opening success
0.72Enemies flashed / flash
8.7%Flash assists
13.45HE damage / grenade
9.22Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 705.3189ms — above the 700ms mark we flag

    Aim Training
  2. 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 16.8104% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0423%24 Aug
nuke15–15-0.0717%24 Aug
nuke13–40.0126%23 Aug
mirage7–13-0.0728%23 Aug
inferno8–13-0.029%9 Aug
ancient13–60.0426%9 Aug
dust24–13-0.0519%9 Aug
mirage8–13-0.0023%9 Aug
dust213–9-0.0424%3 Aug
inferno10–130.0037%3 Aug
nuke11–13-0.0823%27 Jul
ancient10–130.0024%25 Jul
cache5–13-0.0527%25 Jul
nuke13–8-0.0321%25 Jul
inferno10–13-0.0319%19 Jul
mirage6–130.0139%19 Jul
mirage10–13-0.0833%17 Jul
dust213–40.0024%17 Jul
ancient7–13-0.0521%13 Jul
dust213–8-0.0431%13 Jul
dust29–13-0.0226%13 Jul
anubis13–9-0.0424%9 Jul
cache10–13-0.0513%9 Jul
cache3–13-0.0629%7 Jul
cache8–130.0627%7 Jul
cache13–5-0.0627%7 Jul
anubis10–13-0.0521%28 Jun
ancient13–5-0.0319%28 Jun
dust213–11-0.0133%28 Jun
mirage13–7-0.0224%28 Jun
mirage13–6-0.0417%28 Jun
nuke13–60.0140%22 Jun
dust27–13-0.0222%22 Jun
mirage13–80.0330%22 Jun
dust210–13-0.0233%21 Jun
anubis13–40.0715%21 Jun
anubis8–13-0.0124%21 Jun
dust212–12-0.0215%20 Jun
inferno12–12-0.0326%20 Jun
dust25–13-0.0421%13 Jul
mirage13–10-0.0416%20 Mar
mirage13–10.1229%19 Mar
nuke10–130.0130%19 Mar
mirage7–13-0.0345%19 Mar
anubis13–50.0115%14 Mar
dust213–8-0.0130%12 Feb
nuke13–9-0.0221%5 Jan
ancient11–130.0218%5 Jan
ancient13–80.0617%5 Jan
inferno6–130.0235%3 Jan
vertigo9–130.0428%3 Jan
inferno10–13-0.0221%3 Jan
dust216–140.0615%2 Jan
vertigo13–40.0433%2 Jan
dust213–70.0213%1 Jan
dust211–13-0.0621%1 Jan
dust213–100.0322%31 Dec
dust213–7-0.029%31 Dec
vertigo4–13-0.0616%30 Dec
nuke13–80.0429%30 Dec
train13–60.0522%29 Dec
dust213–30.0515%29 Dec
vertigo6–13-0.0324%29 Dec
ancient9–13-0.0017%22 Dec
nuke7–130.0219%20 Dec
dust23–13-0.0714%20 Dec
vertigo11–13-0.099%17 Dec
nuke6–13-0.0635%17 Dec
dust213–100.0923%16 Dec
ancient11–13-0.0230%15 Dec
vertigo0–8-0.0319%15 Dec
ancient2–00.0625%15 Dec
nuke15–150.0220%15 Dec
dust213–30.0714%15 Dec
inferno9–13-0.0811%15 Dec
mirage9–13-0.0223%15 Dec
train13–50.0623%11 Dec
inferno16–140.0530%11 Dec
vertigo13–9-0.0122%10 Dec
anubis13–3-0.0530%10 Dec
train6–130.0737%10 Dec
anubis6–13-0.0510%9 Dec
ancient13–10-0.0214%9 Dec
anubis10–13-0.0513%6 Dec
inferno9–13-0.0223%6 Dec
nuke11–130.0122%3 Dec
mirage13–9-0.1031%1 Dec
anubis11–130.0322%1 Dec
ancient13–3-0.0437%1 Dec
anubis13–10-0.0118%1 Dec
inferno10–130.0216%29 Nov
mirage11–13-0.0021%27 Nov
dust213–11-0.0415%27 Nov
ancient13–90.0410%26 Nov
anubis13–60.0724%26 Nov
ancient13–100.0218%26 Nov
dust213–60.0624%26 Nov
ancient9–13-0.0825%26 Nov
dust27–13-0.0528%26 Nov
mirage15–15-0.0313%26 Nov

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 →