Chipz — CS2 Stats

76561198403336819[U:1:443071091]✓ No bans

315Tracked matches54%Win rate2020Tracked since
CSDB Rating4.2 Developing
FaceitLevel 8 · 1,469 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGChipzFACEITLevel 8 · 1,469 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim59
Positioning45
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY54406Last 10054%Win rateWWLLWWLLWL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim5.9
Aggression2.2
Utility2.8
Positioning4.5
Opening Duels0.0
Clutch1.4

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 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 599ms 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

Aim5.9
Positioning4.5
Utility2.8
Mechanics6.1
Opening Duels0.0
Win Impact6.2

Composite 4.2/10 (Developing), 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-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time592ms−30ms
first ⅓ avg 623ms → last ⅓ avg 592ms
Headshot accuracy20.2%+3.2%
first ⅓ avg 17.0% → last ⅓ avg 20.2%

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

0.13Best rating — nuke 13–1
130Biggest win — train
5Longest win streak
W2Current streak
612In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 80% over 5anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA28181064%-0.02
nukeS2215768%-0.00
dust2B158753%-0.02
ancientD1331023%-0.05
anubisD92722%-0.04
trainS54180%-0.01
cache4040%-0.04
mirage220100%0.04
overpass220100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

47Matches
53%Win rate
0.88Avg K/D
62.7ADR
37%Headshot %

Clutches & streaks

27%1v1 clutch win
11%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke757%0.8112.7
Inferno580%0.8111.2
Dust2367%0.9514.3
Ancient333%0.568.7
Overpass1100%1.2515.0

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.

18.9%Headshot accuracy
32.6%Accuracy (enemy spotted)
33.1%Spray accuracy
77.5%Counter-strafing
10.9°Preaim
599msReaction time
27.3%T opening success
26.8%CT opening success
0.39Enemies flashed / flash
3.7%Flash assists
7.80HE damage / grenade
2.50Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.386 — below the 0.5 mark we flag

    Grenade Lineups
  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 27.3205% — below the 40% mark we flag

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0426%25 Jul
inferno13–3-0.0414%25 Jul
dust29–13-0.0713%25 Jul
ancient3–13-0.1017%25 Jul
inferno6–30.0420%25 Jul
inferno13–9-0.068%25 Jun
ancient5–13-0.0833%25 Jun
cache8–13-0.0529%20 May
inferno5–10.0033%20 May
dust211–13-0.0217%18 May
cache1–13-0.1010%18 May
ancient8–13-0.0532%18 May
inferno13–11-0.0121%18 May
cache12–12-0.0312%18 May
nuke13–10.0916%18 May
cache8–130.0119%14 May
ancient7–13-0.0812%5 May
inferno13–5-0.0315%23 Apr
anubis13–70.0610%23 Apr
mirage13–100.0223%23 Apr
dust212–120.0413%23 Apr
anubis10–130.0144%20 Apr
inferno13–100.0324%20 Apr
nuke13–90.0228%20 Apr
inferno13–10.0010%20 Apr
anubis7–13-0.0315%20 Apr
anubis3–13-0.1312%14 Apr
nuke10–13-0.0710%14 Apr
inferno13–2-0.029%14 Apr
anubis10–40.0024%10 Apr
inferno13–9-0.1112%10 Apr
dust28–13-0.0524%10 Apr
dust22–80.0164%10 Apr
nuke13–3-0.0416%10 Apr
inferno5–1-0.1320%10 Apr
inferno9–13-0.0217%9 Apr
ancient7–13-0.0326%9 Apr
nuke13–70.0417%8 Apr
dust213–6-0.0012%8 Apr
ancient1–13-0.110%8 Apr
ancient6–13-0.0916%5 Apr
nuke17–19-0.0512%5 Apr
inferno15–15-0.0310%26 Mar
ancient13–9-0.0410%21 Mar
nuke13–9-0.0414%21 Mar
overpass13–80.019%21 Mar
dust211–13-0.0419%21 Mar
nuke14–16-0.0416%18 Mar
dust213–100.0217%18 Mar
inferno13–11-0.0314%16 Mar
nuke13–7-0.0115%16 Mar
nuke11–13-0.0325%9 Mar
inferno13–7-0.0319%9 Mar
nuke13–110.0311%9 Mar
inferno4–13-0.1218%9 Mar
ancient12–12-0.0624%9 Mar
anubis2–13-0.0913%9 Mar
dust216–13-0.0524%19 Feb
ancient13–60.0424%19 Feb
inferno11–13-0.0225%19 Feb
ancient4–13-0.0417%19 Feb
nuke11–13-0.0425%19 Feb
inferno13–40.1114%18 Feb
dust25–130.0112%17 Feb
inferno13–90.0330%17 Feb
nuke11–13-0.0322%27 Jan
inferno13–80.0119%27 Jan
dust213–1-0.0022%27 Jan
anubis6–13-0.0618%27 Jan
nuke1–70.000%24 Jan
inferno14–16-0.0718%24 Jan
nuke13–70.0223%24 Jan
anubis6–13-0.0115%21 Jan
nuke13–1-0.034%20 Jan
ancient12–120.0117%16 Jan
anubis11–13-0.077%16 Jan
dust213–11-0.0817%12 Jan
inferno13–60.059%12 Jan
dust213–5-0.0515%12 Jan
nuke13–9-0.0634%10 Jan
inferno11–13-0.0531%9 Jan
train13–00.0010%30 Dec
nuke13–10.135%17 Dec
dust213–11-0.0310%16 Dec
train13–5-0.0327%11 Dec
inferno3–13-0.106%11 Dec
nuke13–8-0.0521%9 Dec
inferno6–13-0.0615%9 Dec
overpass13–20.0115%8 Dec
mirage13–40.0617%8 Dec
train13–50.0129%8 Dec
nuke13–50.1033%8 Dec
inferno13–7-0.0225%8 Dec
inferno12–12-0.015%4 Dec
nuke13–30.0225%4 Dec
train13–2-0.0115%4 Dec
dust213–50.0116%4 Dec
inferno11–13-0.0319%3 Dec
train8–13-0.0219%3 Dec
nuke13–10-0.0218%2 Dec

Match data via Leetify.

Recent teammates

Milestones

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