Bali

Bali — CS2 Stats

DK76561198976780464[U:1:1016514736]Steam profile ↗✓ No bans

938Tracked matches47%Win rate2020Tracked since
CSDB Rating3.2 LearningSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 938 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 14 Feb 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 9,891 +4,166 14 Feb11 Jun · 28 days played
5,69010,420peak 10,42014 Feb11 Jun
10,851Peak Premier in tracked matches
35Days played since 2026-02-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGBaliFACEITLevel 3STANDINGTop 90.6% 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

Aim24
Positioning36
Utility57

0–100 skill scores via Leetify.

Recent form

COLD51472Last 10051%Win rateLLLLLLWLWW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +0.2pp headshot accuracy · +6ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 05 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 728ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 702ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 698ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim2.4
Utility5.7
Positioning3.6
Opening Duels0.0
Clutch4.6

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 55% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 33% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 715ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim2.4
Positioning3.6
Utility5.7
Mechanics3.1
Opening Duels0.4
Win Impact3.9

Composite 3.2/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time718ms−50ms
first ⅓ avg 768ms → last ⅓ avg 718ms
Headshot accuracy12.8%+0.7%
first ⅓ avg 12.1% → last ⅓ avg 12.8%

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.

Personal bests

0.10Best match rating · 9–3 · inferno, 5 Jun
40%Best headshot accuracy · 9–3 · nuke, 5 Jun
563msFastest reaction time · 9–13 · nuke, 2 May
13–0Biggest win · ancient, 8 Mar

Across the last 100 tracked matches.

Highlights

7Longest win streak
L6Current streak
149In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 73% over 15mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC27111641%-0.03
ancientS2315865%-0.03
nukeS1511473%-0.03
anubisB115645%-0.03
overpassC94544%-0.04
mirageD62433%-0.03
dust2A53260%-0.03
cache4040%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

44Matches
41%Win rate
0.73Avg K/D
55.9ADR
33%Headshot %

Clutches & streaks

43%1v1 clutch win
6%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1050%0.6411.4
Ancient757%0.7111.3
Inferno617%0.6810.8
Train333%0.9712.7
Mirage250%0.8410.0

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.

12.6%Headshot accuracy
31.6%Accuracy (enemy spotted)
32.1%Spray accuracy
63.9%Counter-strafing
12.0°Preaim
715msReaction time
16.6%T opening success
33.1%CT opening success
0.67Enemies flashed / flash
3.8%Flash assists
8.94HE damage / grenade
6.38Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.6383% — below the 15% mark we flag

    Aim Training
  2. 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 715.0649ms — above the 700ms mark we flag

    Aim Training
  3. 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 16.6397% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.045%30 Jul
dust29–13-0.0314%30 Jul
inferno10–13-0.0118%28 Jul
cache2–13-0.0411%28 Jul
nuke6–13-0.0639%27 Jul
inferno10–13-0.038%27 Jul
ancient13–50.0219%27 Jul
anubis9–13-0.040%26 Jul
inferno13–11-0.0513%26 Jul
mirage13–8-0.045%26 Jul
mirage10–13-0.0416%26 Jul
cache1–10-0.0711%23 Jul
ancient13–100.046%23 Jul
inferno9–13-0.0517%11 Jun
dust22–13-0.080%11 Jun
nuke10–13-0.089%11 Jun
ancient8–13-0.0730%5 Jun
nuke16–12-0.0614%5 Jun
ancient16–14-0.0610%5 Jun
inferno13–8-0.0516%5 Jun
inferno9–30.102%5 Jun
nuke9–3-0.0440%5 Jun
cache10–13-0.0618%2 Jun
inferno7–9-0.0113%1 Jun
nuke13–6-0.0312%31 May
dust213–40.017%31 May
nuke13–9-0.077%24 May
anubis10–13-0.0514%24 May
anubis13–6-0.007%24 May
nuke13–6-0.0114%24 May
mirage8–13-0.0116%23 May
inferno16–14-0.056%15 May
ancient13–5-0.036%15 May
overpass13–10-0.0518%15 May
ancient16–140.037%3 May
ancient13–2-0.0211%3 May
nuke9–13-0.0717%2 May
inferno4–13-0.0119%2 May
cache12–12-0.0714%2 May
ancient15–15-0.059%2 May
ancient13–9-0.049%28 Apr
mirage13–16-0.057%19 Apr
inferno9–13-0.0314%18 Apr
ancient13–11-0.0511%18 Apr
overpass11–130.0112%18 Apr
inferno9–13-0.0127%18 Apr
ancient11–13-0.0212%10 Apr
inferno13–11-0.075%10 Apr
overpass4–13-0.0518%10 Apr
inferno13–6-0.0313%10 Apr
ancient13–9-0.0422%6 Apr
ancient13–11-0.034%6 Apr
ancient8–13-0.096%3 Apr
nuke13–9-0.0810%3 Apr
nuke13–11-0.025%3 Apr
ancient13–4-0.0611%3 Apr
mirage3–13-0.0513%3 Apr
overpass10–13-0.0521%2 Apr
inferno16–120.0113%2 Apr
anubis13–11-0.0414%2 Apr
overpass13–80.0110%2 Apr
anubis13–11-0.0413%28 Mar
inferno2–13-0.0116%28 Mar
nuke13–7-0.0311%28 Mar
inferno13–90.0314%28 Mar
inferno5–13-0.0317%28 Mar
overpass16–12-0.045%22 Mar
nuke13–30.0713%22 Mar
anubis11–13-0.088%22 Mar
inferno5–13-0.1317%22 Mar
ancient13–50.0110%20 Mar
inferno8–13-0.0613%20 Mar
inferno10–13-0.0319%20 Mar
overpass10–13-0.0815%18 Mar
inferno11–13-0.0310%18 Mar
ancient13–11-0.0416%15 Mar
ancient11–13-0.017%15 Mar
ancient11–13-0.0517%15 Mar
inferno2–13-0.117%15 Mar
nuke13–11-0.038%15 Mar
inferno13–2-0.048%15 Mar
overpass10–13-0.0610%8 Mar
ancient13–00.0524%8 Mar
anubis6–13-0.074%8 Mar
inferno13–3-0.030%8 Mar
ancient13–11-0.0514%7 Mar
dust213–3-0.0210%7 Mar
anubis16–130.029%7 Mar
mirage13–7-0.008%6 Mar
dust213–3-0.0212%6 Mar
overpass13–9-0.068%5 Mar
inferno11–13-0.0313%5 Mar
inferno7–9-0.0821%5 Mar
nuke13–110.0729%3 Mar
inferno13–40.1020%2 Mar
ancient10–13-0.057%2 Mar
anubis13–4-0.007%22 Feb
ancient5–13-0.116%22 Feb
nuke9–13-0.0523%22 Feb
anubis7–130.0210%14 Feb

Match data via Leetify.

Recent teammates

Milestones

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