cream 3.14

cream 3.14 — CS2 Stats

76561198015075165[U:1:54809437]Steam profile ↗✓ No bans

3,761Tracked matches48%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating27,198Top 5% of 205,416 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#5039 of 252649 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,198 +2,657 22 Aug – 12 Oct · 21 days played
24,32427,198peak 27,19822 Aug12 Oct
Faceit ELO: 1,277 +0 28 Aug – 7 Sept · 2 observations
1,2771,277peak 1,27728 Aug7 Sept
27,313Peak Premier in tracked matches
1,277Highest Faceit ELO seen on CSDB
35Days played since 2026-08-10

Premier CS Rating

  • At peak — 27,198
  • +2,184 over 30 days · improving
  • Next: Gold band at 30,000 — 2,802 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-13
  • Pink band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGcream 3.14PREMIER27,198 · Red bandPEAK ELO1,277csdb.gg/stats

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Performance scores

Aim78
Positioning56
Utility71

0–100 skill scores via Leetify.

Recent form

COLD50–43–7Last 10050%Win rateLWWLLWLLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −7.1pp headshot accuracy · −130ms 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 -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 456ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 513ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 578ms

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 against its own average).

Aim7.8
Utility7.1
Positioning5.6
Opening Duels2.6
Clutch5.0

Effective flashes

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 91% 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 570ms 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

Aim7.8
Positioning5.6
Utility7.1
Mechanics7.1
Opening Duels3.1
Win Impact4.4

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time558ms+33ms
first ⅓ avg 525ms → last ⅓ avg 558ms
Headshot accuracy21.7%−2.1%
first ⅓ avg 23.8% → last ⅓ avg 21.7%

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 · 12–12 · anubis, 21 Sept →
67%Best headshot accuracy · 13–0 · vertigo, 3 Oct →
391msFastest reaction time · 6–13 · nuke, 12 Oct →
13–0Biggest win · vertigo, 3 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 86% over 7ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%0.00
mirageB137–654%0.00
nukeB126–650%0.01
ancientD122–1017%-0.00
infernoS118–373%0.01
vertigoB84–450%0.02
trainS76–186%0.03
cacheB63–350%-0.01
anubis—40–40%0.02
office—31–233%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

865Matches
50%Win rate
1.18Avg K/D
85.0ADR
47%Headshot %

Clutches & streaks

45%1v1 clutch win
24%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4257%1.1916.9
Ancient3148%1.1916.8
Inferno2343%1.1415.8
Nuke2339%1.1216.4
Dust22152%1.2517.2
Anubis1833%1.1218.8
Vertigo729%1.1317.1
Train40%0.9418.0

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.

21.6%Headshot accuracy
36.0%Accuracy (enemy spotted)
39.4%Spray accuracy
81.8%Counter-strafing
10.3°Preaim
570msReaction time
41.2%T opening success
43.6%CT opening success
0.76Enemies flashed / flash
15.8%Flash assists
17.45HE damage / grenade
10.60Flashes / match

Recommended for you

Spend your practice time on Ancient

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.027%12 Oct →
cache13–70.0512%12 Oct →
dust213–9-0.0315%12 Oct →
inferno6–13-0.0811%11 Oct →
dust211–130.0125%11 Oct →
dust213–90.0315%11 Oct →
vertigo3–13-0.0138%11 Oct →
dust27–13-0.045%11 Oct →
ancient3–130.0426%10 Oct →
vertigo7–130.0632%10 Oct →
nuke13–40.0429%10 Oct →
dust21–13-0.0729%10 Oct →
anubis10–13-0.0219%9 Oct →
dust212–12-0.0218%9 Oct →
cache13–60.0122%9 Oct →
train7–130.0536%7 Oct →
anubis5–130.0338%7 Oct →
ancient10–13-0.0113%5 Oct →
inferno13–10-0.0028%5 Oct →
train13–100.0125%5 Oct →
nuke13–80.0219%5 Oct →
train13–6-0.0044%4 Oct →
vertigo13–00.0767%3 Oct →
mirage13–60.0012%3 Oct →
ancient3–13-0.0525%2 Oct →
inferno13–60.0714%2 Oct →
dust213–50.0713%2 Oct →
vertigo13–4-0.0215%2 Oct →
nuke7–130.0113%2 Oct →
ancient7–13-0.048%30 Sept →
dust212–2-0.0126%27 Sept →
mirage13–5-0.075%27 Sept →
inferno13–70.0412%27 Sept →
cache15–15-0.0532%27 Sept →
nuke15–15-0.0118%27 Sept →
mirage13–40.0226%24 Sept →
inferno5–2-0.0920%24 Sept →
dust211–13-0.0328%24 Sept →
vertigo13–90.078%24 Sept →
ancient5–13-0.0714%24 Sept →
anubis12–120.1023%21 Sept →
ancient8–130.0411%21 Sept →
train13–110.0524%21 Sept →
mirage10–130.0827%21 Sept →
vertigo13–00.049%20 Sept →
nuke5–13-0.0117%20 Sept →
nuke13–4-0.0217%19 Sept →
mirage9–130.0112%19 Sept →
dust213–30.0436%19 Sept →
inferno13–4-0.0222%19 Sept →
dust210–13-0.0120%19 Sept →
ancient13–20.0321%19 Sept →
dust213–9-0.0117%17 Sept →
inferno15–150.0629%17 Sept →
vertigo9–13-0.0212%15 Sept →
dust25–130.0427%15 Sept →
mirage13–70.0837%15 Sept →
train13–60.0927%15 Sept →
anubis6–13-0.0427%12 Sept →
ancient4–13-0.0119%12 Sept →
ancient13–50.0324%12 Sept →
dust213–9-0.0718%12 Sept →
mirage13–110.0316%12 Sept →
nuke11–13-0.0128%12 Sept →
inferno12–6-0.027%12 Sept →
dust213–60.0432%12 Sept →
inferno13–50.0024%7 Sept →
cache1–9-0.0513%7 Sept →
office4–130.0437%7 Sept →
dust26–130.0115%5 Sept →
vertigo11–13-0.0038%5 Sept →
dust213–50.0238%4 Sept →
inferno13–90.0827%4 Sept →
office10–130.0527%3 Sept →
inferno12–120.0430%3 Sept →
dust211–13-0.0126%3 Sept →
cache4–13-0.0110%2 Sept →
mirage10–130.0421%30 Aug →
nuke13–60.0711%30 Aug →
mirage13–70.0636%30 Aug →
dust25–00.0340%30 Aug →
mirage4–13-0.0541%29 Aug →
dust213–40.0421%29 Aug →
mirage13–10-0.0627%29 Aug →
ancient11–13-0.0312%25 Aug →
mirage10–13-0.0710%24 Aug →
nuke8–13-0.0118%23 Aug →
ancient14–160.0319%22 Aug →
dust213–50.0418%22 Aug →
dust24–13-0.0115%22 Aug →
train13–90.0435%19 Aug →
ancient15–150.0521%19 Aug →
dust213–11-0.0131%16 Aug →
train13–9-0.0416%15 Aug →
office13–50.0921%12 Aug →
nuke13–10.0633%12 Aug →
dust27–130.0130%11 Aug →
mirage5–13-0.0411%11 Aug →
nuke13–70.0121%11 Aug →
cache13–60.0220%10 Aug →

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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