ChalkolitMilk — CS2 Stats

76561198005397987[U:1:45132259]✓ No bans

477Tracked matches56%Win rate2023Tracked since
CSDB Rating6.6 SolidHybrid Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGChalkolitMilkFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning65
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY51418Last 10051%Win rateLLLTWWWLWL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

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

Aim6.9
Aggression10.0
Utility6.0
Positioning6.5
Opening Duels5.5
Clutch0.0

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

sh1ro

Plays most like sh1ro 90% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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

Aim6.9
Positioning6.5
Utility6.0
Mechanics7.5
Opening Duels5.5
Win Impact6.9

Composite 6.6/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time600ms−16ms
first ⅓ avg 615ms → last ⅓ avg 600ms
Headshot accuracy17.6%+1.6%
first ⅓ avg 16.0% → last ⅓ avg 17.6%

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 — cache 13–7
131Biggest win — dust2
5Longest win streak
L3Current streak
95In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 67% over 21mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2S2114767%0.04
ancientC125742%0.01
mirageD113827%0.01
trainA116555%0.02
infernoA117464%0.02
anubisD93633%-0.01
cacheA85363%0.03
nukeC83538%0.03
overpassA53260%0.03
vertigo42250%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

70Matches
59%Win rate
1.60Avg K/D
88.2ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
20Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust230%0.7912.3
Inferno3100%1.5016.3
Overpass250%1.4519.0
Ancient10%0.8012.0
Anubis10%1.3320.0
Vertigo10%0.8815.0

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.

17.8%Headshot accuracy
31.9%Accuracy (enemy spotted)
35.0%Spray accuracy
83.9%Counter-strafing
8.5°Preaim
599msReaction time
48.8%T opening success
55.5%CT opening success
0.65Enemies flashed / flash
6.4%Flash assists
6.84HE damage / grenade
15.34Flashes / match

Recommended for you

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0411%23 Aug
mirage11–13-0.0810%23 Aug
overpass3–13-0.0338%16 Aug
nuke12–120.069%8 Aug
dust213–70.0731%2 Aug
train13–7-0.0110%26 Jul
inferno13–90.0526%26 Jul
dust210–130.0114%21 Jul
nuke13–40.108%21 Jul
mirage7–13-0.0518%19 Jul
cache5–50.010%19 Jul
inferno13–100.0718%11 Jul
dust213–7-0.0433%11 Jul
cache13–20.0119%5 Jul
nuke13–60.0414%5 Jul
anubis10–13-0.0221%5 Jul
dust210–130.1119%4 Jul
mirage8–13-0.0320%3 Jul
overpass13–70.1114%3 Jul
mirage13–110.0313%3 Jul
dust213–5-0.0226%28 Jun
dust212–12-0.0317%19 Jun
mirage12–120.0216%18 Jun
cache6–13-0.0314%17 Jun
dust213–30.0816%17 Jun
overpass13–40.0119%7 Jun
dust213–80.0422%7 Jun
mirage7–130.0316%7 Jun
ancient10–13-0.0214%6 Jun
nuke4–130.0225%6 Jun
vertigo9–13-0.1014%6 Jun
inferno8–130.0124%5 Jun
anubis6–13-0.028%5 Jun
inferno13–6-0.0023%23 May
vertigo13–40.0717%23 May
ancient13–110.0015%22 May
cache13–30.1113%22 May
cache13–11-0.0427%18 May
anubis8–13-0.0813%3 May
ancient13–11-0.0226%3 May
overpass13–11-0.0014%2 May
cache8–13-0.0115%2 May
cache13–70.2025%29 Apr
inferno9–130.0122%11 Mar
vertigo13–30.0526%11 Mar
train5–00.0323%11 Mar
ancient9–13-0.0619%10 Mar
dust211–130.0129%9 Apr
train13–110.0216%9 Apr
dust213–10.0521%1 Apr
inferno10–130.0317%30 Mar
train2–13-0.0112%30 Mar
dust213–20.1112%30 Mar
train13–10-0.048%25 Mar
anubis13–11-0.0013%24 Mar
dust213–10-0.0224%21 Mar
dust29–130.0013%15 Mar
nuke12–12-0.0317%15 Mar
dust213–10.1030%15 Mar
train12–120.0915%15 Mar
ancient10–13-0.0212%15 Mar
mirage9–13-0.0114%14 Mar
anubis12–16-0.0510%11 Mar
ancient11–130.0112%9 Mar
overpass12–120.0515%2 Mar
train13–90.0333%1 Mar
mirage12–120.1023%1 Mar
vertigo5–13-0.0032%1 Mar
inferno13–30.1018%28 Feb
train9–130.0818%27 Feb
ancient13–90.0117%25 Feb
mirage16–120.0114%23 Feb
nuke16–130.0913%23 Feb
inferno13–20.0224%23 Feb
mirage13–30.0917%23 Feb
mirage10–13-0.008%23 Feb
dust213–80.0526%23 Feb
inferno9–13-0.0719%23 Feb
nuke11–13-0.0128%23 Feb
anubis13–40.0418%23 Feb
anubis13–6-0.014%23 Feb
inferno13–60.0015%23 Feb
anubis10–13-0.0412%19 Feb
dust28–130.0312%19 Feb
ancient11–130.0014%16 Feb
dust213–80.008%15 Feb
ancient13–40.1017%15 Feb
dust213–50.0212%14 Feb
ancient7–130.0720%14 Feb
nuke9–13-0.027%14 Feb
inferno13–8-0.059%10 Feb
train13–10-0.0120%9 Feb
train10–130.0312%8 Feb
dust213–40.1022%8 Feb
ancient13–100.0714%7 Feb
train9–13-0.0116%7 Feb
dust28–130.028%6 Feb
ancient5–130.0121%6 Feb
dust213–110.0923%6 Feb
anubis12–120.0810%2 Feb

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 →