CREAM

CREAM — CS2 Stats

76561198246628534[U:1:286362806]Steam profile ↗✓ No bans

303Tracked matches79%Win rate2025Tracked since
357Hours in CS
CSDB Rating7.2 StrongPositional Player
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. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim81
Positioning67
Utility47

0–100 skill scores via Leetify.

Recent form

HOT622711Last 10062%Win rateWLWWWWLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.6pp headshot accuracy · −26ms 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

  • 41 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 606ms

Last 10

  • 82 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 584ms

Last 20

  • 1541 · 75% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 597ms

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: Positional PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim8.1
Utility4.7
Positioning6.7
Opening Duels5.6

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

donk

Plays most like donk 92% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 596ms 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

Aim8.1
Positioning6.7
Utility4.7
Mechanics8.0
Opening Duels4.8
Win Impact10.0

Composite 7.2/10 (Strong), 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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time597ms+18ms
first ⅓ avg 579ms → last ⅓ avg 597ms
Headshot accuracy15.6%−1.5%
first ⅓ avg 17.1% → last ⅓ avg 15.6%

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.

Personal bests

0.17Best match rating · 13–4 · train, 18 Jan
83%Best headshot accuracy · 13–2 · office, 24 Dec
422msFastest reaction time · 9–13 · overpass, 18 Jan
13–2Biggest win · dust2, 15 Jan

Across the last 100 tracked matches.

Highlights

7Longest win streak
56In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 83% over 6trainWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS2114767%0.02
infernoB157847%0.04
overpassS1410471%0.01
dust2S1410471%0.04
nukeB126650%0.04
trainC83538%0.03
anubisS65183%0.06
ancientB63350%-0.01
vertigo330100%0.03
office110100%0.12

Across the last 100 tracked matches.

Lifetime stats

18,275Lifetime kills
1.21K/D · Top 25% of tracked players
848Matches
59.1%Match win rate · Top 5% of tracked players
34.5%Headshot %
12.7%Shot accuracy · Top 50% of tracked players
2,643MVPs
357Hours (in match)
446Bombs planted
283Bombs defused

Most-used weapons

Lifetime map wins

1,025dust2
1,000inferno
565nuke
463office
341vertigo
253train
65italy
50cbble

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.

16.3%Headshot accuracy
40.2%Accuracy (enemy spotted)
42.1%Spray accuracy
86.1%Counter-strafing
10.2°Preaim
596msReaction time
46.1%T opening success
52.3%CT opening success
0.53Enemies flashed / flash
5.3%Flash assists
11.33HE damage / grenade
3.61Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6134 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Train

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
overpass13–11-0.0416%12 Mar
inferno7–130.049%12 Mar
overpass13–9-0.0518%12 Mar
train13–30.019%1 Mar
anubis13–40.1115%18 Jan
train13–40.1716%18 Jan
overpass9–13-0.0414%18 Jan
mirage13–100.0919%18 Jan
inferno13–70.0819%18 Jan
overpass13–70.1217%18 Jan
mirage13–50.0313%16 Jan
overpass13–40.0318%16 Jan
dust213–30.0713%16 Jan
dust213–80.0620%16 Jan
overpass11–130.058%15 Jan
overpass13–6-0.017%15 Jan
mirage12–12-0.0123%15 Jan
train5–13-0.0520%15 Jan
mirage13–70.1014%15 Jan
dust213–20.0913%15 Jan
mirage13–30.0331%14 Jan
nuke13–60.0912%14 Jan
anubis13–5-0.0118%14 Jan
inferno11–130.0219%14 Jan
overpass13–70.0415%14 Jan
nuke13–90.0827%11 Jan
mirage3–13-0.009%11 Jan
dust213–20.0418%3 Jan
nuke12–120.0220%2 Jan
mirage13–20.0715%2 Jan
dust213–70.0212%2 Jan
mirage13–4-0.057%1 Jan
overpass13–80.0811%1 Jan
nuke13–40.1215%1 Jan
ancient8–13-0.029%1 Jan
train8–130.0130%1 Jan
mirage11–130.047%1 Jan
dust211–13-0.0414%1 Jan
anubis13–3-0.0212%31 Dec
train13–80.0915%31 Dec
mirage5–130.0122%31 Dec
mirage4–1-0.0767%31 Dec
nuke3–8-0.0115%30 Dec
ancient13–20.0115%28 Dec
anubis12–12-0.018%28 Dec
vertigo13–110.0319%28 Dec
mirage13–110.0216%28 Dec
dust212–120.0017%28 Dec
inferno13–70.1016%27 Dec
inferno13–70.1425%24 Dec
mirage7–13-0.0211%24 Dec
nuke11–130.0216%24 Dec
overpass7–130.0412%24 Dec
office13–20.1283%24 Dec
inferno13–60.0422%24 Dec
vertigo13–70.0124%24 Dec
nuke7–130.0212%24 Dec
train12–12-0.0115%23 Dec
mirage13–30.1119%23 Dec
inferno12–120.0321%22 Dec
train7–13-0.0214%21 Dec
dust213–80.0610%21 Dec
inferno12–120.059%20 Dec
dust212–12-0.0213%20 Dec
overpass13–6-0.017%20 Dec
nuke10–130.0018%18 Dec
overpass13–50.0211%18 Dec
ancient13–70.0816%18 Dec
mirage9–130.0822%17 Dec
inferno7–13-0.0219%17 Dec
anubis13–40.1418%17 Dec
inferno12–120.0621%17 Dec
overpass13–9-0.038%17 Dec
nuke13–90.0627%17 Dec
vertigo13–30.0618%16 Dec
dust213–70.0415%16 Dec
mirage13–10-0.0524%16 Dec
nuke5–1-0.0920%16 Dec
mirage13–80.0020%16 Dec
ancient8–13-0.0814%16 Dec
train12–120.0416%15 Dec
inferno13–70.019%15 Dec
inferno13–110.0415%14 Dec
dust213–50.0320%14 Dec
mirage13–90.0323%12 Dec
dust213–20.1236%12 Dec
ancient10–13-0.0320%12 Dec
ancient13–4-0.0110%10 Dec
inferno5–13-0.0118%10 Dec
inferno13–90.0512%9 Dec
anubis13–30.1519%9 Dec
mirage13–11-0.025%8 Dec
nuke9–130.0421%8 Dec
inferno4–13-0.0419%8 Dec
nuke13–70.0918%7 Dec
mirage13–2-0.0214%7 Dec
overpass8–13-0.0512%4 Dec
dust212–120.0114%4 Dec
dust213–20.0610%1 Dec
mirage11–130.0115%1 Dec

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 →