Lord of the fries

Lord of the fries — CS2 Stats

76561199161331235[U:1:1201065507]Steam profile ↗✓ No bans

194Tracked matches36%Win rate2025Tracked since
CSDB Rating1.4 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 194
+3.6ppWin rate · 32.1% → 35.7%
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. 50 days played since 17 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

50Days played since 2026-03-17

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim4
Positioning36
Utility3

0–100 skill scores via Leetify.

Recent form

STEADY32626Last 10032%Win rateWWLWLLTLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −0.1pp headshot accuracy · +98ms 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 -0.04
  • Avg headshot accuracy 6%
  • Avg reaction 733ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 6%
  • Avg reaction 746ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 6%
  • Avg reaction 697ms

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 (+2.1 against its own average).

Aim0.4
Utility0.3
Positioning3.6
Opening Duels0.6

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

ZywOo

Plays most like ZywOo 64% 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

T-side openings. Opening success drops from 40% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 702ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim0.4
Positioning3.6
Utility0.3
Mechanics2.6
Opening Duels1.2
Win Impact0.2

Composite 1.4/10 (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-0.05+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time696ms−42ms
first ⅓ avg 737ms → last ⅓ avg 696ms
Headshot accuracy7.2%−4.4%
first ⅓ avg 11.5% → last ⅓ avg 7.2%

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

0.03Best match rating · 6–13 · nuke, 28 Aug
26%Best headshot accuracy · 0–13 · ancient, 5 May
438msFastest reaction time · 2–13 · dust2, 28 Aug
13–1Biggest win · mirage, 20 May

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
35In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 42% over 12ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC32122038%-0.05
mirageC2391439%-0.06
dust2C125742%-0.05
ancientD71614%-0.04
cacheD61517%-0.09
officeD61517%-0.05
anubisD51420%-0.09
overpass31233%-0.08
inferno2020%-0.07
train2020%-0.08
vertigo21150%-0.06

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.

Skill profile

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

7.0%Headshot accuracy
24.3%Accuracy (enemy spotted)
30.3%Spray accuracy
61.8%Counter-strafing
18.8°Preaim
702msReaction time
18.8%T opening success
39.7%CT opening success
0.02Enemies flashed / flash
1.9%Flash assists
0.57HE damage / grenade
0.25Flashes / 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 18.8014° — 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 6.9659% — below the 15% mark we flag

    Aim Training
  3. 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 701.8393ms — above the 700ms mark we flag

    Aim Training
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 & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–50.0012%17 Sept
nuke13–10-0.092%15 Sept
inferno11–13-0.076%9 Sept
dust213–60.014%9 Sept
nuke10–13-0.086%8 Sept
mirage2–13-0.048%6 Sept
nuke12–120.017%6 Sept
nuke2–13-0.107%6 Sept
ancient4–13-0.025%4 Sept
mirage13–6-0.034%4 Sept
mirage4–13-0.107%2 Sept
cache13–4-0.0610%2 Sept
office8–13-0.098%2 Sept
nuke5–8-0.080%2 Sept
nuke6–130.039%28 Aug
anubis5–13-0.065%28 Aug
dust22–13-0.087%28 Aug
dust213–20.023%28 Aug
nuke10–130.023%22 Aug
nuke13–6-0.0211%19 Aug
dust23–13-0.083%16 Aug
train12–12-0.058%13 Aug
dust213–10-0.048%12 Aug
nuke9–13-0.0410%12 Aug
nuke7–13-0.037%10 Aug
nuke11–13-0.015%10 Aug
cache7–13-0.108%9 Aug
mirage10–13-0.095%9 Aug
dust213–9-0.1220%9 Aug
mirage13–4-0.0510%9 Aug
inferno8–13-0.078%8 Aug
nuke13–10-0.0613%8 Aug
anubis13–9-0.069%8 Aug
mirage13–5-0.078%18 Jun
dust29–13-0.0910%18 Jun
anubis12–16-0.0820%15 Jun
nuke13–6-0.0518%15 Jun
nuke6–13-0.1210%15 Jun
overpass3–13-0.0211%13 Jun
cache5–13-0.0613%13 Jun
mirage5–13-0.079%12 Jun
cache8–13-0.116%6 Jun
dust23–4-0.0616%6 Jun
nuke13–10-0.0710%6 Jun
ancient3–13-0.1018%31 May
anubis1–13-0.165%31 May
nuke4–13-0.0612%30 May
mirage13–8-0.0911%30 May
mirage2–13-0.0311%24 May
mirage13–1-0.0411%20 May
ancient0–13-0.0426%5 May
nuke5–13-0.134%5 May
mirage2–13-0.0513%5 May
cache8–13-0.096%2 May
mirage1–13-0.095%2 May
cache9–13-0.1118%29 Apr
nuke13–11-0.0211%22 Apr
mirage13–4-0.0411%22 Apr
mirage8–13-0.067%20 Apr
dust210–13-0.0512%20 Apr
dust29–13-0.088%19 Apr
nuke5–13-0.095%19 Apr
nuke13–6-0.026%18 Apr
mirage12–12-0.0211%15 Apr
nuke13–10.029%15 Apr
nuke6–13-0.113%15 Apr
ancient12–120.029%15 Apr
office4–130.016%15 Apr
nuke13–20.0212%14 Apr
mirage13–5-0.0311%10 Apr
office7–10-0.0115%9 Apr
mirage12–12-0.0911%9 Apr
nuke5–13-0.0611%9 Apr
ancient8–5-0.0110%8 Apr
nuke13–8-0.0718%8 Apr
vertigo4–13-0.0816%8 Apr
vertigo13–3-0.0414%8 Apr
dust28–13-0.0623%7 Apr
office6–13-0.0611%6 Apr
dust29–130.019%6 Apr
nuke6–13-0.0516%6 Apr
ancient7–13-0.0715%2 Apr
mirage10–13-0.0810%1 Apr
nuke5–13-0.068%1 Apr
mirage3–13-0.0914%1 Apr
ancient12–12-0.0611%31 Mar
overpass13–3-0.129%28 Mar
overpass4–13-0.0913%27 Mar
nuke10–13-0.080%27 Mar
nuke11–13-0.059%25 Mar
train5–13-0.1113%25 Mar
mirage13–10-0.0512%23 Mar
mirage13–8-0.0824%22 Mar
anubis11–13-0.097%19 Mar
mirage8–130.013%19 Mar
office4–13-0.0811%18 Mar
mirage7–13-0.1011%18 Mar
nuke11–13-0.0412%18 Mar
office13–11-0.083%18 Mar
nuke13–80.0013%17 Mar

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 →