Sprinkles

Sprinkles — CS2 Stats

76561198016145789[U:1:55880061]Steam profile ↗✓ No bans

2,460Tracked matches34%Win rate2020Tracked since
CSDB Rating2.8 LearningPositional Player
Premier CS Rating5,280Light Blue band · top ~77.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (8 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: 5,280 +1,293 26 Aug – 24 Sept · 19 days played
3,9686,211peak 6,21126 Aug24 Sept
6,578Peak Premier in tracked matches
28Days played since 2026-08-24

Premier CS Rating

  • 931 below peak (6,211)
  • +1,293 over 30 days · improving
  • Next: Blue band at 10,000 — 4,720 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGSprinklesFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER5,280 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim26
Positioning34
Utility27

0–100 skill scores via Leetify.

Recent form

COLD43–55–2Last 10043%Win rateLWLLLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +0.3pp headshot accuracy · +31ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 784ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 13%
  • Avg reaction 783ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 767ms

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 Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim2.6
Utility2.7
Positioning3.4
Opening Duels0.0
Clutch2.6

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

NiKo

Plays most like NiKo 74% 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

CT openings. Opening success drops from 42% on T to 22% on CT — first contacts on the defending side are being lost.

Reaction time. 753ms 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

Aim2.6
Positioning3.4
Utility2.7
Mechanics7.3
Opening Duels1.5
Win Impact0.0

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time749ms+40ms
first ⅓ avg 709ms → last ⅓ avg 749ms
Headshot accuracy13.2%−1.0%
first ⅓ avg 14.2% → last ⅓ avg 13.2%

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

0.08Best match rating · 13–5 · cache, 24 Sept →
32%Best headshot accuracy · 16–14 · dust2, 2 Sept →
516msFastest reaction time · 7–13 · ancient, 30 Aug →
13–0Biggest win · mirage, 16 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 60% over 15ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2512–1348%-0.06
dust2B2211–1150%-0.05
infernoD165–1131%-0.06
cacheA159–660%-0.03
nukeB105–550%-0.04
ancientD71–614%-0.07
anubis—30–30%-0.04
vertigo—10–10%-0.14
overpass—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

723Matches
48%Win rate
0.79Avg K/D
62.1ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
15%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4250%0.6410.6
Inferno2357%0.7511.0
Dust21650%0.6710.9
Anubis1547%0.7311.1
Nuke825%0.538.6
Cache862%0.8210.9
Ancient10%0.377.0
Vertigo10%1.1925.0

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.

13.2%Headshot accuracy
27.0%Accuracy (enemy spotted)
24.9%Spray accuracy
82.7%Counter-strafing
10.7°Preaim
753msReaction time
42.3%T opening success
22.2%CT opening success
0.34Enemies flashed / flash
0.0%Flash assists
5.03HE damage / grenade
2.78Flashes / 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 13.2329% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 753.4814ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.3417 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.134%1 Oct →
cache13–50.0221%29 Sept →
mirage11–13-0.0724%28 Sept →
mirage6–13-0.100%27 Sept →
mirage7–13-0.0513%27 Sept →
mirage10–13-0.0512%25 Sept →
vertigo6–13-0.148%25 Sept →
cache8–13-0.0413%25 Sept →
mirage10–13-0.0713%24 Sept →
nuke11–13-0.0918%24 Sept →
overpass6–13-0.087%24 Sept →
dust26–13-0.0028%24 Sept →
cache13–50.0816%24 Sept →
inferno13–8-0.0913%21 Sept →
cache6–13-0.028%19 Sept →
inferno15–15-0.0817%19 Sept →
mirage13–30.0112%19 Sept →
mirage8–13-0.099%18 Sept →
mirage13–10-0.067%16 Sept →
mirage13–0-0.058%16 Sept →
cache13–6-0.0814%14 Sept →
inferno13–2-0.0517%14 Sept →
anubis7–13-0.058%13 Sept →
ancient5–13-0.1111%13 Sept →
dust25–130.0022%12 Sept →
dust28–130.0120%12 Sept →
mirage16–12-0.0310%12 Sept →
nuke16–13-0.0511%10 Sept →
nuke9–13-0.0711%10 Sept →
inferno11–13-0.0218%10 Sept →
inferno11–13-0.0516%10 Sept →
cache13–3-0.0311%10 Sept →
ancient13–16-0.0517%9 Sept →
anubis14–16-0.0216%9 Sept →
cache13–6-0.015%9 Sept →
dust213–9-0.0518%9 Sept →
dust23–13-0.146%8 Sept →
nuke4–13-0.0519%8 Sept →
dust211–13-0.0126%8 Sept →
mirage2–13-0.1113%8 Sept →
dust213–10-0.0712%8 Sept →
dust29–13-0.069%8 Sept →
dust213–10-0.0514%8 Sept →
ancient6–13-0.0619%5 Sept →
cache13–9-0.0213%5 Sept →
ancient13–11-0.0516%5 Sept →
mirage6–13-0.093%5 Sept →
nuke13–90.0111%5 Sept →
mirage13–9-0.0618%5 Sept →
inferno9–13-0.0311%4 Sept →
inferno9–13-0.120%4 Sept →
dust29–13-0.0212%4 Sept →
dust216–14-0.0713%4 Sept →
cache13–50.0222%4 Sept →
anubis7–13-0.0617%4 Sept →
cache13–11-0.0412%3 Sept →
mirage6–13-0.0821%3 Sept →
dust213–5-0.0711%3 Sept →
nuke13–9-0.0324%3 Sept →
mirage13–2-0.0421%3 Sept →
mirage13–10-0.1010%3 Sept →
dust216–14-0.0732%2 Sept →
nuke10–13-0.0229%2 Sept →
inferno5–13-0.1118%2 Sept →
mirage9–13-0.0913%2 Sept →
cache11–13-0.0724%2 Sept →
inferno13–9-0.0419%2 Sept →
mirage13–9-0.018%1 Sept →
mirage15–15-0.094%1 Sept →
inferno8–13-0.0612%1 Sept →
mirage13–16-0.102%1 Sept →
inferno16–13-0.0118%31 Aug →
inferno13–16-0.0613%31 Aug →
nuke13–50.0115%31 Aug →
inferno6–13-0.0515%31 Aug →
dust213–4-0.069%31 Aug →
cache13–10-0.0613%31 Aug →
ancient12–16-0.1025%30 Aug →
nuke13–5-0.044%30 Aug →
mirage13–8-0.0817%30 Aug →
nuke7–13-0.0418%30 Aug →
mirage13–10-0.0417%30 Aug →
ancient7–13-0.059%30 Aug →
cache10–13-0.0422%29 Aug →
inferno13–7-0.0218%29 Aug →
cache8–13-0.087%29 Aug →
dust213–10-0.0225%29 Aug →
mirage16–13-0.0313%29 Aug →
dust213–10-0.0311%28 Aug →
mirage11–13-0.0523%28 Aug →
dust29–13-0.0617%28 Aug →
dust28–13-0.0718%27 Aug →
ancient4–13-0.0916%27 Aug →
dust213–2-0.0129%27 Aug →
dust213–1-0.0710%27 Aug →
cache9–13-0.0717%27 Aug →
inferno7–13-0.056%26 Aug →
dust210–13-0.0213%26 Aug →
inferno11–13-0.068%26 Aug →
mirage13–100.0118%24 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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