dip — CS2 Stats

76561198119662656[U:1:159396928]✓ No bans

152Tracked matches62%Win rate2023Tracked since
CSDB Rating5.7 SolidAggressive Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGdipFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim78
Positioning48
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY454312Last 10045%Win rateWLWWTWWLLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.8
Aggression6.5
Utility1.4
Positioning4.8
Opening Duels1.2
Clutch6.0

Limited utility dependence

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 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; 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. 622ms 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

Aim7.8
Positioning4.8
Utility1.4
Mechanics7.9
Opening Duels1.2
Win Impact8.8

Composite 5.7/10 (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 rating-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time609ms−38ms
first ⅓ avg 646ms → last ⅓ avg 609ms
Headshot accuracy21.8%−3.9%
first ⅓ avg 25.7% → last ⅓ avg 21.8%

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

0.09Best rating — train 13–2
132Biggest win — dust2
5Longest win streak
69In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 67% over 6nukeWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB22111150%-0.01
dust2B21111052%-0.00
infernoD1551033%-0.03
nukeD91811%-0.05
ancientB84450%-0.03
anubisC83538%-0.01
trainB84450%0.00
overpassS64267%-0.02
cache220100%0.01
vertigo1010%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
50%Win rate
1.05Avg K/D
64.6ADR
48%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.6911.0
Mirage1100%1.4131.0

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.

22.8%Headshot accuracy
35.4%Accuracy (enemy spotted)
34.3%Spray accuracy
85.4%Counter-strafing
8.8°Preaim
622msReaction time
33.2%T opening success
36.2%CT opening success
0.22Enemies flashed / flash
3.2%Flash assists
5.32HE damage / grenade
1.31Flashes / 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 0.2175 — 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 33.1913% — below the 40% mark we flag

Spend your practice time on Nuke

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient16–14-0.0324%5 Jul
nuke4–13-0.0422%5 Jul
cache13–30.0021%3 May
cache13–70.0215%3 May
inferno12–12-0.0713%18 Mar
anubis13–90.0021%18 Mar
dust213–60.0224%18 Mar
inferno14–16-0.0234%18 Mar
mirage4–13-0.0525%18 Mar
mirage16–12-0.0721%16 Mar
dust213–6-0.0232%16 Mar
overpass13–7-0.0010%15 Mar
mirage13–70.0421%15 Mar
dust212–120.0436%15 Mar
anubis7–13-0.0533%13 Mar
dust213–2-0.038%13 Mar
overpass13–6-0.0722%13 Mar
ancient1–3-0.090%13 Mar
dust213–110.0018%2 Mar
nuke11–13-0.106%2 Mar
mirage13–40.0225%2 Mar
train7–13-0.0447%1 Mar
dust212–12-0.0314%1 Mar
train12–12-0.1121%6 Jan
mirage3–13-0.0842%6 Jan
dust25–13-0.0320%6 Jan
dust213–60.0827%6 Jan
nuke13–6-0.0720%5 Dec
mirage13–70.0920%5 Dec
vertigo9–13-0.0424%4 Dec
overpass13–110.0426%4 Nov
inferno6–13-0.0910%4 Nov
inferno13–9-0.0017%29 Oct
inferno8–13-0.0426%29 Oct
mirage11–13-0.0324%29 Oct
dust213–6-0.0021%28 Oct
train13–20.0937%28 Oct
mirage13–100.0333%20 Sept
dust28–13-0.0726%20 Sept
inferno13–5-0.0722%3 Sept
mirage9–13-0.0030%23 Aug
dust210–13-0.0319%23 Aug
mirage13–10-0.034%11 Jul
ancient9–13-0.0710%11 Jul
nuke12–12-0.0216%15 Jun
ancient13–70.0425%10 Jun
mirage13–10-0.0129%4 Jun
ancient13–80.0137%2 Jun
inferno4–13-0.0629%2 Jun
overpass9–13-0.0526%2 Jun
train8–13-0.0024%2 Jun
mirage12–120.0224%2 Jun
anubis13–9-0.0122%2 Jun
nuke6–130.0235%2 Jun
mirage13–90.0630%28 May
mirage13–6-0.0532%28 May
inferno13–9-0.0117%28 May
dust213–90.0225%28 May
mirage11–130.0036%28 May
overpass12–12-0.0126%27 May
dust211–13-0.0121%27 May
inferno6–13-0.0242%27 May
mirage11–13-0.0437%27 May
nuke11–13-0.0324%15 May
train13–80.0122%15 May
mirage12–12-0.0613%15 May
inferno12–12-0.0123%15 May
dust213–110.0440%15 May
inferno13–40.0416%14 May
anubis7–13-0.0613%14 May
dust22–13-0.0319%14 May
mirage10–13-0.0123%14 May
mirage19–170.0417%30 Apr
ancient4–13-0.0921%30 Apr
train13–6-0.0422%27 Apr
anubis13–9-0.0118%27 Apr
mirage13–3-0.0126%27 Apr
ancient13–50.0022%27 Apr
inferno13–6-0.0133%27 Apr
dust212–12-0.0233%27 Apr
nuke7–13-0.0933%27 Apr
anubis12–120.0323%11 Feb
inferno6–13-0.0436%11 Feb
inferno5–13-0.0622%11 Feb
mirage11–13-0.0321%11 Feb
dust213–70.0325%11 Feb
train6–130.0615%11 Feb
dust25–13-0.0339%10 Feb
dust213–110.0332%8 Feb
overpass13–4-0.0213%8 Feb
dust25–13-0.0222%31 Jan
anubis8–130.0021%31 Jan
nuke12–12-0.0133%31 Jan
inferno6–13-0.0634%30 Jan
anubis9–13-0.0124%30 Jan
train13–60.0633%30 Jan
dust28–20.0335%30 Jan
nuke8–13-0.0833%30 Jan
ancient7–13-0.0411%30 Jan
mirage4–13-0.0841%30 Jan

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 →