ChocolateREMIX

ChocolateREMIX — CS2 Stats

CA76561197986801915[U:1:26536187]Steam profile ↗✓ No bans

178Tracked matches41%Win rate2021Tracked since
1,743Hours in CS2Hrs last 2 wks
CSDB Rating2.4 LearningClutch Specialist
Ladder ranks via Leetify
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. 56 days played since 22 Oct 2022. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 8,779 -1,949 16 Dec – 17 Jan · 3 days played
8,77910,728peak 10,72816 Dec17 Jan
10,728Peak Premier in tracked matches
56Days played since 2022-10-22

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

Performance scores

Aim14
Positioning44
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY39–52–9Last 10039%Win rateWLWWLLWLWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −0.9pp headshot accuracy · −57ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 620ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 618ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 647ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.4 against its own average).

Aim1.4
Utility3.0
Positioning4.4
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.

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

jL

Plays most like jL 58% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 637ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim1.4
Positioning4.4
Utility3.0
Mechanics1.9
Opening Duels1.6
Win Impact1.9

Composite 2.4/10 (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-0.05+0.00
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time635ms−149ms
first ⅓ avg 784ms → last ⅓ avg 635ms
Headshot accuracy11.7%−0.2%
first ⅓ avg 11.9% → last ⅓ avg 11.7%

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 · 13–2 · overpass, 13 Dec →
29%Best headshot accuracy · 11–13 · dust2, 18 May →
469msFastest reaction time · 10–13 · nuke, 14 Aug →
16–4Biggest win · dust2, 8 Jan →

Across the last 100 tracked matches.

Highlights

2Longest win streak
6–6In matches decided by ≤2 rounds
26Overtime games

Map breakdown

infernoBest map · 56% over 9mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C4617–2937%-0.05
ancientC135–838%-0.07
anubisD103–730%-0.06
infernoA95–456%-0.05
mirageD72–529%-0.05
nukeD62–433%-0.08
overpassB63–350%-0.04
cache—21–150%-0.05
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

43,862Lifetime kills
0.85K/D
2,388Matches
43.1%Match win rate
39.9%Headshot %
17.0%Shot accuracy · Top 25% of tracked players
4,650MVPs
1,100Hours (in match)
3,282Bombs planted
558Bombs defused

Most-used weapons

Lifetime map wins

25,421dust2
533inferno
284nuke
121vertigo
44dust
34train
24office
20aztec

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

5Matches
40%Win rate
0.49Avg K/D
44.7ADR
42%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%0.7311.0
Ancient10%0.377.0
Cache10%0.6111.0
Anubis1100%0.439.0
Nuke10%0.336.0

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.

11.3%Headshot accuracy
26.1%Accuracy (enemy spotted)
22.0%Spray accuracy
58.5%Counter-strafing
11.9°Preaim
637msReaction time
33.6%T opening success
39.4%CT opening success
0.47Enemies flashed / flash
1.7%Flash assists
8.14HE damage / grenade
2.32Flashes / 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 11.2541% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4748 — below the 0.5 mark we flag

    Grenade Lineups →
  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 33.6479% — 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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–9-0.075%25 Sept →
dust24–13-0.0022%25 Sept →
dust213–60.017%18 Sept →
cache13–11-0.0610%3 Sept →
anubis4–13-0.0711%3 Sept →
ancient12–16-0.109%2 Sept →
nuke13–11-0.0312%1 Sept →
nuke10–13-0.086%14 Aug →
anubis16–12-0.0510%14 Aug →
cache8–13-0.038%12 Aug →
ancient8–13-0.078%12 Aug →
mirage13–10-0.0119%12 Aug →
mirage7–13-0.0212%5 Aug →
mirage3–13-0.086%17 Jun →
dust212–12-0.107%3 Jun →
dust212–12-0.0419%3 Jun →
nuke9–13-0.0416%2 Jun →
ancient13–10-0.058%26 May →
dust25–13-0.0010%26 May →
dust213–10-0.103%21 May →
mirage12–120.0115%21 May →
ancient13–5-0.0115%18 May →
dust24–13-0.0925%18 May →
dust23–13-0.097%18 May →
inferno5–13-0.115%23 Mar →
dust213–7-0.044%23 Mar →
mirage8–13-0.0912%7 Mar →
dust213–60.0024%17 Sept →
dust211–13-0.0716%7 Sept →
ancient9–13-0.0410%17 Jun →
dust23–13-0.068%17 Jun →
anubis13–11-0.118%18 May →
dust211–13-0.0529%18 May →
anubis10–13-0.0823%30 Mar →
ancient11–13-0.0913%17 Jan →
inferno13–2-0.0121%17 Jan →
mirage13–6-0.0815%17 Jan →
ancient6–13-0.0911%17 Jan →
anubis7–13-0.0612%13 Jan →
anubis10–13-0.1013%13 Jan →
overpass16–14-0.0724%22 Dec →
ancient9–13-0.0910%22 Dec →
nuke4–13-0.1213%22 Dec →
inferno8–13-0.0413%22 Dec →
overpass4–13-0.1020%22 Dec →
ancient13–3-0.047%16 Dec →
overpass13–6-0.0318%16 Dec →
anubis11–13-0.0719%16 Dec →
anubis13–60.0819%13 Dec →
overpass13–20.109%13 Dec →
dust22–13-0.0727%13 Dec →
ancient2–13-0.1319%12 Dec →
dust25–13-0.0917%12 Dec →
inferno13–4-0.0118%12 Dec →
dust24–13-0.1025%12 Dec →
dust213–9-0.0415%11 Dec →
overpass15–15-0.052%10 Dec →
nuke16–12-0.088%10 Dec →
inferno7–13-0.0613%10 Dec →
anubis5–13-0.085%10 Dec →
dust213–90.0710%6 Dec →
dust213–10-0.0312%6 Dec →
dust25–13-0.0314%5 Dec →
dust213–9-0.036%5 Dec →
dust213–10-0.063%5 Dec →
anubis9–13-0.0710%3 Dec →
inferno13–11-0.064%3 Dec →
ancient16–13-0.027%3 Dec →
overpass6–13-0.072%28 Nov →
ancient13–3-0.096%28 Nov →
ancient5–13-0.075%28 Nov →
nuke3–13-0.116%27 Nov →
inferno9–13-0.042%27 Nov →
mirage3–13-0.0824%27 Nov →
vertigo13–10-0.018%26 Nov →
inferno13–30.025%24 Nov →
dust22–13-0.094%24 Nov →
dust213–6-0.0814%21 Nov →
dust211–130.0217%21 Nov →
inferno13–10-0.1127%20 Nov →
dust214–16-0.166%1 Mar →
dust215–15-0.0512%8 Jan →
dust216–4-0.0311%8 Jan →
dust216–12-0.0510%30 Dec →
dust215–15-0.0013%27 Dec →
dust25–16-0.0518%25 Dec →
dust25–16-0.106%25 Dec →
dust215–15-0.0819%23 Dec →
dust29–16-0.0814%9 Dec →
dust215–150.0214%6 Dec →
dust215–15-0.0221%3 Dec →
dust210–16-0.0715%28 Nov →
dust27–16-0.0517%25 Nov →
dust216–7-0.089%15 Nov →
dust211–16-0.0626%10 Nov →
dust216–10-0.054%9 Nov →
dust28–16-0.085%27 Oct →
dust216–9-0.0020%26 Oct →
dust216–14-0.0811%23 Oct →
dust26–16-0.1016%22 Oct →

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 →