Sweet Chocolate

Sweet Chocolate — CS2 Stats

US76561198072931008[U:1:112665280]Steam profile ↗✓ No bans

1,433Tracked matches57%Win rate2020Tracked since
1,727Hours in CS
CSDB Rating4.3 DevelopingSupport
CSDB Leaderboard#51092 of 252487 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,433
0.0ppWin rate · 56.7% → 56.7%

Rating over time

Premier CS Rating: 22,279 +3,175 1 Apr – 21 Sept · 40 days played
15,52422,279peak 22,2791 Apr21 Sept
22,279Peak Premier in tracked matches
57Days played since 2024-04-01

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches1——
Win rate0%——
K/D0.37——
Headshot %29%——

Measured 21 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,312), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate46.8%42.7%43.7%above
Shot accuracy19.2%11.3%12.0%above
Kill/death ratio1.390.991.02above
Match win rate52.7%43.9%44.7%above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGSweet ChocolateFACEITLevel 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

Aim47
Positioning40
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWLWLWWLWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +5.0pp headshot accuracy · −70ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 483ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 503ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 538ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim4.7
Utility5.4
Positioning4.0
Opening Duels0.0

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 76% 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

Counter-strafing. Only 67% 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

Aim4.7
Positioning4.0
Utility5.4
Mechanics3.7
Opening Duels0.0
Win Impact7.2

Composite 4.3/10 (Developing), 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-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time533ms−15ms
first ⅓ avg 548ms → last ⅓ avg 533ms
Headshot accuracy16.8%+0.2%
first ⅓ avg 16.7% → last ⅓ avg 16.8%

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

0.24Best match rating · 13–2 · anubis, 5 Oct →
100%Best headshot accuracy · 3–0 · dust2, 1 Oct →
375msFastest reaction time · 0–3 · mirage, 1 Apr →
13–2Biggest win · anubis, 5 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 68% over 31infernoWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
dust2S3121–1068%0.01
ancientB2211–1150%-0.02
infernoD174–1324%-0.03
mirageC156–940%-0.02
anubisD113–827%0.00
cache—22–0100%-0.02
nuke—11–0100%0.05
vertigo—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,167Lifetime kills
1.39K/D · Top 10% of Level 4 players
4,920Matches
52.7%Match win rate · Top 10% of Level 4 players
46.8%Headshot % · Top 50% of Level 4 players
19.2%Shot accuracy · Top 5% of Level 4 players
9,748MVPs
1,727Hours (in match)
5,225Bombs planted
1,186Bombs defused

Most-used weapons

AK-4725,640
AWP19,729
P2504,758
SSG 083,218
P903,050

Lifetime map wins

34,068dust2
2,136inferno
1,046nuke
447office
368train
254vertigo
197assault
163italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.2%Headshot accuracy
29.3%Accuracy (enemy spotted)
33.1%Spray accuracy
66.7%Counter-strafing
11.1°Preaim
548msReaction time
28.1%T opening success
19.2%CT opening success
0.65Enemies flashed / flash
7.4%Flash assists
9.09HE damage / grenade
10.97Flashes / 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. 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 28.1398% — below the 40% mark we flag

Spend your practice time on Inferno

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

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.076%1 Oct →
ancient13–6-0.0230%31 Aug →
ancient7–13-0.0720%22 Aug →
cache13–4-0.0113%22 Aug →
ancient0–6-0.097%15 Aug →
dust216–14-0.0115%15 Aug →
dust216–13-0.0120%15 Aug →
dust211–13-0.0221%14 Aug →
ancient13–50.0314%14 Aug →
dust21–13-0.0743%14 Aug →
inferno13–7-0.0614%11 Aug →
dust213–70.0622%11 Aug →
mirage3–13-0.0711%10 Aug →
mirage11–130.0515%10 Aug →
cache13–9-0.0315%10 Aug →
dust213–110.1013%10 Aug →
dust213–30.0314%10 Aug →
ancient2–130.018%9 Aug →
ancient13–11-0.0317%9 Aug →
anubis10–13-0.0610%8 Aug →
ancient13–6-0.116%7 Aug →
anubis6–13-0.0411%7 Aug →
mirage13–70.0121%7 Aug →
mirage13–3-0.0317%20 Jul →
inferno13–8-0.0215%20 Jul →
dust213–8-0.0321%21 Sept →
dust211–13-0.0226%26 Jul →
inferno1–5-0.110%16 May →
dust212–20.0527%23 Mar →
dust23–60.0044%28 Feb →
mirage6–13-0.0611%16 Feb →
nuke13–60.0517%7 Jan →
ancient8–10.179%5 Jan →
ancient11–130.0219%5 Jan →
anubis13–160.0122%4 Jan →
ancient9–13-0.0415%3 Jan →
dust213–30.0229%3 Jan →
dust213–110.0427%2 Jan →
inferno9–13-0.0321%21 Dec →
inferno1–40.0738%1 Dec →
inferno7–13-0.086%17 Nov →
anubis13–40.048%17 Nov →
ancient13–70.0310%3 Nov →
dust28–13-0.0211%8 Oct →
inferno4–13-0.0325%7 Oct →
ancient2–5-0.0214%6 Oct →
dust26–13-0.0118%6 Oct →
ancient13–70.0611%6 Oct →
ancient9–13-0.0512%5 Oct →
mirage13–110.0210%5 Oct →
anubis13–20.2417%5 Oct →
dust213–60.0033%4 Oct →
dust213–100.0520%3 Oct →
inferno3–13-0.0815%3 Oct →
dust23–00.12100%1 Oct →
inferno10–13-0.0313%1 Oct →
anubis9–13-0.0518%30 Sept →
ancient13–6-0.0417%30 Sept →
inferno11–13-0.0518%30 Sept →
mirage10–13-0.0119%30 Sept →
ancient8–13-0.0416%16 Sept →
mirage13–10-0.0318%15 Sept →
anubis9–13-0.0411%14 Sept →
ancient15–15-0.0213%9 Sept →
ancient5–13-0.0319%24 Aug →
dust213–11-0.057%24 Aug →
inferno11–130.0314%23 Aug →
dust213–40.009%23 Aug →
mirage15–150.0212%23 Aug →
ancient13–90.0223%21 Aug →
dust213–40.1817%21 Aug →
anubis13–7-0.0431%20 Aug →
anubis11–130.0116%18 Aug →
dust213–30.0323%18 Aug →
anubis8–130.018%26 Jul →
dust20–3-0.050%21 Jul →
dust23–13-0.0021%21 Jul →
dust213–110.0224%21 Jul →
anubis8–10-0.0120%8 May →
mirage9–13-0.0116%8 May →
dust216–12-0.0424%7 May →
mirage13–50.0214%7 May →
dust215–15-0.0123%6 May →
dust27–13-0.0513%6 May →
dust213–40.0416%5 May →
inferno13–10-0.0216%5 May →
inferno5–13-0.0612%4 May →
ancient13–6-0.038%4 May →
inferno11–13-0.0217%3 May →
dust213–30.0316%3 May →
ancient2–13-0.1625%28 Apr →
inferno13–11-0.0315%28 Apr →
mirage13–90.0310%28 Apr →
dust213–8-0.0124%27 Apr →
vertigo0–3-0.080%25 Apr →
inferno15–15-0.0013%25 Apr →
ancient13–110.0225%23 Apr →
inferno9–30.0543%18 Apr →
mirage0–3-0.110%1 Apr →
mirage7–13-0.0317%1 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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