FriedSlice

FriedSlice — CS2 Stats

76561198043839992[U:1:83574264]Steam profile ↗✓ No bans

2,136Tracked matches44%Win rate2023Tracked since
1,630Hours in CS13Hrs last 2 wks
CSDB Rating3.3 LearningPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

+33Tracked matches · now 2,136
+22.6ppWin rate · 21.4% → 44.0%
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. 51 days played since 25 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

51Days played since 2026-05-25

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=9,169), 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 3 medianLevel 4 medianvs Level 4
Headshot rate43.4%41.9%42.7%meets
Shot accuracy0.0%12.2%11.3%11.3% short
Kill/death ratio0.820.980.990.17 short
Match win rate38.2%43.3%43.9%5.7% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFriedSliceFACEITLevel 3STANDINGTop 90.6% 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

Aim26
Positioning37
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY37558Last 10037%Win rateLWWWLLWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.2pp headshot accuracy · +120ms 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 811ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 8%
  • Avg reaction 735ms

Last 20

  • 1172 · 55% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 676ms

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 (+1.4 against its own average).

Aim2.6
Utility3.3
Positioning3.7
Opening Duels0.0

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

NiKo

Plays most like NiKo 68% 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. 667ms 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
Positioning3.7
Utility3.3
Mechanics5.9
Opening Duels0.5
Win Impact3.0

Composite 3.3/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time662ms−6ms
first ⅓ avg 668ms → last ⅓ avg 662ms
Headshot accuracy10.4%−0.1%
first ⅓ avg 10.5% → last ⅓ avg 10.4%

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

0.11Best match rating · 13–9 · nuke, 18 Sept
33%Best headshot accuracy · 13–9 · dust2, 28 Jun
469msFastest reaction time · 4–13 · anubis, 7 Jun
13–0Biggest win · dust2, 31 May

Across the last 100 tracked matches.

Highlights

4Longest win streak
34In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 59% over 17cacheWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
nukeB24121250%-0.02
ancientA1710759%-0.05
cacheD1631319%-0.04
anubisD1431121%-0.05
infernoD124833%-0.04
mirageD113827%-0.06
dust232167%0.02
vertigo2020%-0.05
overpass1010%-0.05

Across the last 100 tracked matches.

Lifetime stats

46,708Lifetime kills
0.82K/D
2,802Matches
38.2%Match win rate
43.4%Headshot % · Top 50% of Level 3 players
0.0%Shot accuracy
3,643MVPs
1,138Hours (in match)
3,230Bombs planted
591Bombs defused

Most-used weapons

Lifetime map wins

4,713nuke
3,271inferno
2,275vertigo
1,368dust2
1,108train
778office
114italy
6ar_shoots

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

Faceit stats

Combat

9Matches
22%Win rate
0.60Avg K/D
ADR
37%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo520%0.6410.0
Inferno250%0.7814.0
Anubis10%0.171.0
Mirage10%0.5212.0

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.

9.4%Headshot accuracy
30.0%Accuracy (enemy spotted)
31.5%Spray accuracy
76.3%Counter-strafing
13.2°Preaim
667msReaction time
30.1%T opening success
34.0%CT opening success
0.43Enemies flashed / flash
1.5%Flash assists
5.54HE damage / grenade
4.47Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2455° — above the 12° mark we flag

    Aim Training
  2. 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 9.3814% — below the 15% 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 0.4339 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Cache

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.026%19 Sept
nuke13–90.118%18 Sept
nuke13–11-0.069%17 Sept
mirage13–50.0113%11 Sept
cache2–13-0.0912%11 Sept
inferno2–13-0.056%11 Sept
ancient13–9-0.032%10 Sept
nuke13–7-0.0410%10 Sept
anubis1–13-0.1013%10 Sept
ancient13–9-0.094%9 Sept
cache10–13-0.076%9 Sept
cache2–6-0.1018%9 Sept
mirage13–11-0.038%9 Sept
ancient12–12-0.067%8 Sept
nuke12–12-0.029%8 Sept
anubis13–6-0.023%8 Sept
mirage13–5-0.0710%8 Sept
mirage14–16-0.0714%8 Sept
ancient13–7-0.056%7 Sept
nuke13–1-0.0013%5 Sept
nuke1–13-0.059%5 Sept
cache10–130.0112%5 Sept
anubis12–12-0.0210%5 Sept
inferno2–13-0.084%5 Sept
inferno8–13-0.0518%4 Sept
nuke12–120.0215%4 Sept
cache12–120.0213%3 Sept
cache7–13-0.059%2 Sept
ancient10–13-0.038%2 Sept
nuke2–13-0.149%2 Sept
mirage11–13-0.0118%2 Sept
cache6–13-0.0728%1 Sept
nuke6–13-0.0511%31 Aug
ancient13–6-0.0214%28 Aug
nuke9–13-0.1014%27 Aug
nuke2–13-0.055%26 Aug
cache3–13-0.106%26 Aug
nuke13–8-0.0211%25 Aug
nuke3–13-0.0117%24 Aug
ancient1–13-0.093%24 Aug
ancient4–13-0.073%24 Aug
nuke13–9-0.018%24 Aug
mirage2–13-0.114%24 Aug
inferno1–70.0316%24 Aug
cache9–20.0611%23 Aug
nuke4–13-0.007%20 Aug
cache8–13-0.056%19 Aug
nuke13–8-0.0114%19 Aug
nuke8–130.0011%18 Aug
ancient13–10-0.0510%18 Aug
vertigo7–13-0.0713%17 Aug
inferno2–6-0.080%12 Aug
cache12–12-0.0413%11 Aug
cache6–13-0.022%8 Aug
mirage3–13-0.0415%8 Aug
dust27–13-0.0814%5 Aug
cache4–6-0.0117%1 Aug
mirage12–12-0.057%1 Aug
anubis4–13-0.055%25 Jul
nuke8–13-0.0627%8 Jul
anubis10–13-0.0424%1 Jul
overpass8–13-0.054%28 Jun
inferno8–13-0.0710%28 Jun
dust213–90.0533%28 Jun
nuke13–8-0.0411%27 Jun
cache5–13-0.0319%19 Jun
nuke13–80.079%18 Jun
inferno13–40.0621%18 Jun
inferno13–9-0.0510%16 Jun
mirage5–13-0.0811%15 Jun
ancient13–60.042%13 Jun
inferno13–70.0118%13 Jun
mirage8–13-0.102%10 Jun
nuke13–70.0311%9 Jun
ancient5–13-0.042%7 Jun
cache13–11-0.0417%7 Jun
anubis4–13-0.094%7 Jun
anubis7–13-0.0913%6 Jun
anubis6–13-0.038%6 Jun
ancient8–13-0.0514%6 Jun
anubis13–10-0.0122%6 Jun
ancient13–3-0.0611%6 Jun
ancient13–7-0.0711%3 Jun
nuke13–7-0.0610%3 Jun
anubis6–13-0.059%3 Jun
vertigo4–13-0.0313%3 Jun
inferno13–9-0.0320%2 Jun
ancient13–9-0.067%2 Jun
nuke10–13-0.057%31 May
cache13–90.0217%31 May
dust213–00.0815%31 May
mirage9–13-0.0511%30 May
anubis13–9-0.013%30 May
ancient13–8-0.0310%28 May
anubis7–13-0.0615%28 May
nuke13–40.036%27 May
anubis5–13-0.116%27 May
inferno11–13-0.096%27 May
ancient4–13-0.0613%26 May
inferno12–12-0.093%25 May

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 →