Kripps

Kripps — CS2 Stats

76561198126563822[U:1:166298094]Steam profile ↗✓ No bans

1,187Tracked matches43%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPassive Rifler
Premier CS Rating23,800Top 25% of 29,473 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#7008 of 37499 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGKrippsPREMIER23,800 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning50
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY57421Last 10057%Win rateLLLWLLWWWW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression4.4
Utility5.7
Positioning5.0
Opening Duels1.4
Clutch3.2

Strong CT-side opener

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 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 46% on CT to 25% 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

Aim7.3
Positioning5.0
Utility5.7
Mechanics5.4
Opening Duels2.0
Win Impact2.8

Composite 5.4/10 (Developing), 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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time541ms−62ms
first ⅓ avg 602ms → last ⅓ avg 541ms
Headshot accuracy22.2%−0.8%
first ⅓ avg 23.0% → last ⅓ avg 22.2%

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

0.20Best rating — mirage 13–6
131Biggest win — dust2
6Longest win streak
L3Current streak
77In matches decided by ≤2 rounds
12Overtime games

Map breakdown

vertigoBest map · 67% over 12infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA25151060%0.01
dust2A159660%0.01
vertigoS128467%0.03
cacheC114736%0.03
anubisA106460%0.05
ancientA85363%0.00
infernoD72529%0.02
overpass42250%0.01
nuke43175%0.01
train32167%-0.02
tuscan_d110100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

125Matches
65%Win rate
1.46Avg K/D
100.5ADR
52%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1275%1.8420.7
Inferno838%1.4520.1
Nuke786%1.9919.3
Dust26100%1.3018.7
Anubis650%1.6221.7
Ancient560%1.4012.8
Vertigo250%1.3621.0
Train250%0.9219.0

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.

22.0%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.7%Spray accuracy
74.1%Counter-strafing
9.8°Preaim
542msReaction time
25.2%T opening success
46.1%CT opening success
0.64Enemies flashed / flash
5.0%Flash assists
7.37HE damage / grenade
12.80Flashes / 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 25.1702% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–130.0615%10 Jun
mirage12–16-0.0330%9 Jun
dust20–13-0.060%7 Jun
ancient13–8-0.0515%7 Jun
ancient8–13-0.0323%7 Jun
inferno6–130.0320%1 Jun
mirage13–100.0320%31 May
overpass13–11-0.0720%31 May
dust213–10-0.0324%30 May
vertigo16–130.0014%30 May
mirage7–13-0.0418%30 May
vertigo7–13-0.0117%30 May
ancient13–110.0428%30 May
dust27–13-0.0117%30 May
cache11–130.0213%30 May
dust211–130.0022%30 May
dust213–7-0.0250%29 May
anubis5–130.0144%29 May
anubis13–90.0625%29 May
anubis13–80.0023%24 May
inferno16–120.0431%19 May
overpass19–220.0416%18 May
mirage13–60.0018%18 May
cache9–13-0.0322%17 May
mirage5–13-0.0120%16 May
cache16–190.0622%16 May
nuke13–100.0427%16 May
nuke11–13-0.0128%16 May
ancient9–13-0.0311%16 May
dust213–60.0326%16 May
inferno10–130.0133%16 May
dust213–10.1321%16 May
anubis9–130.0120%14 May
mirage13–40.1014%14 May
dust216–130.0023%14 May
train13–50.0732%14 May
overpass6–130.0325%14 May
anubis13–80.0414%14 May
ancient13–90.0431%14 May
mirage13–100.0427%14 May
mirage2–13-0.0924%10 May
vertigo7–13-0.0035%10 May
inferno13–160.0327%10 May
mirage13–70.0533%10 May
mirage13–4-0.0414%10 May
anubis13–110.0319%10 May
train13–4-0.0125%9 May
mirage9–130.0528%9 May
dust213–4-0.0519%9 May
tuscan_d13–40.1028%9 May
vertigo13–80.0321%9 May
vertigo13–60.1737%9 May
mirage13–60.2024%9 May
cache13–80.0135%9 May
inferno7–130.0425%9 May
vertigo13–90.0323%9 May
mirage10–130.0414%8 May
nuke13–11-0.0321%8 May
mirage19–170.0726%8 May
anubis13–70.0318%8 May
train7–13-0.1017%8 May
mirage9–13-0.0226%8 May
anubis13–40.1125%8 May
mirage16–140.0036%7 May
inferno13–9-0.0426%7 May
dust210–13-0.0421%5 May
vertigo8–13-0.0221%5 May
dust213–100.0317%5 May
vertigo13–70.0524%5 May
vertigo13–90.0424%5 May
ancient13–7-0.0324%5 May
mirage13–2-0.085%3 May
cache11–130.0217%3 May
anubis11–130.1521%3 May
vertigo13–100.0425%3 May
cache13–100.0625%2 May
cache7–130.0522%2 May
mirage16–14-0.0428%2 May
nuke13–60.0240%2 May
cache9–10.0217%2 May
dust28–130.0931%2 May
vertigo7–13-0.0423%2 May
dust213–60.1129%2 May
mirage13–80.0328%2 May
mirage7–13-0.069%2 May
anubis7–130.0226%2 May
vertigo19–160.0523%1 May
mirage13–90.0417%1 May
cache13–20.0519%1 May
cache11–130.0332%30 Apr
mirage13–80.0231%30 Apr
cache9–130.0421%30 Apr
ancient8–130.0614%30 Apr
mirage5–13-0.0521%29 Apr
mirage13–100.0523%29 Apr
dust215–15-0.0227%28 Apr
overpass13–90.0231%28 Apr
mirage5–130.0225%28 Apr
ancient13–40.0324%22 Apr
dust213–10-0.0318%22 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 →