McFlurry

McFlurry — CS2 Stats

NO76561198992371920[U:1:1032106192]Steam profile ↗✓ No bans

1,021Tracked matches38%Win rate2022Tracked since
CSDB Rating3.4 LearningPositional Player
Premier CS Rating11,796Blue band · top ~45.4% of ranked players (population est.)
FaceitLevel 3 · 1,246 ELOTop 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (yesterday). 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: 11,796 -372 28 Feb – 25 Oct · 16 days played
10,70217,235peak 17,23528 Feb25 Oct
17,303Peak Premier in tracked matches
1,246Highest Faceit ELO seen on CSDB
59Days played since 2025-02-28

Faceit ELO

  • At peak — 1,246
  • Next: Level 7 at 1,351 — 105 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 5,439 below peak (17,235)
  • Next: Purple band at 15,000 — 3,204 to go
  • Reached: Purple band · Blue band · 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.GGMcFlurryFACEITLevel 3 · 1,246 ELOSTANDINGTop 90.6% of rankedPREMIER11,796 · Blue bandPEAK ELO1,246csdb.gg/stats

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Performance scores

Aim52
Positioning44
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateLWLWWLLWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.2pp headshot accuracy · −30ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 564ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 585ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 600ms

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 (+1.7 against its own average).

Aim5.2
Utility2.6
Positioning4.4
Opening Duels1.8
Clutch2.0

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

jL

Plays most like jL 92% 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. 626ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim5.2
Positioning4.4
Utility2.6
Mechanics3.4
Opening Duels1.8
Win Impact1.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time635ms−47ms
first ⅓ avg 682ms → last ⅓ avg 635ms
Headshot accuracy17.7%−3.6%
first ⅓ avg 21.3% → last ⅓ avg 17.7%

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

0.08Best match rating · 13–8 · anubis, 28 Apr →
45%Best headshot accuracy · 5–13 · mirage, 22 Dec →
422msFastest reaction time · 8–13 · ancient, 7 Sept →
13–3Biggest win · ancient, 2 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 60% over 5dust2Weakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%-0.01
nukeC229–1341%-0.02
dust2D175–1229%-0.02
ancientB115–645%0.00
overpassB63–350%-0.04
anubisA53–260%-0.01
vertigo—32–167%0.00
inferno—21–150%-0.01
cache—21–150%0.00
rush_001—11–0100%0.05
poseidon—10–10%0.06
alpine—10–10%0.04
mirage_christmasnight—10–10%-0.01
cache_b—10–10%-0.04
palacio—10–10%0.07
rooftop—11–0100%-0.10
dogtown—10–10%-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

732Matches
48%Win rate
0.92Avg K/D
75.2ADR
49%Headshot %

Clutches & streaks

30%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage20344%0.8714.3
Ancient13255%0.9515.4
Dust213046%0.9614.8
Anubis7337%0.9214.9
Vertigo7060%1.0015.4
Nuke5351%0.8914.1
Inferno2450%0.9215.0
Overpass1953%1.0214.3

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.

17.1%Headshot accuracy
33.8%Accuracy (enemy spotted)
39.4%Spray accuracy
65.3%Counter-strafing
10.4°Preaim
626msReaction time
30.2%T opening success
44.1%CT opening success
0.24Enemies flashed / flash
0.0%Flash assists
6.48HE damage / grenade
3.04Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2437 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.1737% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–130.0015%25 Oct →
inferno13–90.0316%22 Oct →
nuke10–13-0.0113%14 Oct →
rush_0018–40.0520%10 Oct →
dust213–10-0.0613%10 Oct →
inferno5–13-0.0514%10 Oct →
nuke6–13-0.0611%10 Oct →
cache13–9-0.0218%10 Oct →
dust27–130.0329%10 Oct →
ancient13–30.0221%2 Oct →
dust213–90.0229%28 Sept →
nuke13–110.0211%21 Sept →
nuke13–70.0214%13 Sept →
ancient8–130.0421%7 Sept →
mirage13–4-0.0119%7 Sept →
anubis13–110.039%22 Aug →
anubis13–11-0.0411%22 Aug →
nuke4–13-0.0225%13 Aug →
mirage4–13-0.0213%13 Aug →
nuke15–15-0.0415%13 Aug →
mirage10–13-0.0413%13 Aug →
dust27–13-0.0715%12 Aug →
mirage8–1-0.0610%12 Aug →
poseidon8–80.0631%28 Jun →
dust26–13-0.0018%28 Jun →
alpine11–130.0428%16 May →
cache7–130.0318%2 May →
dust25–13-0.0136%15 Mar →
nuke2–13-0.0810%11 Mar →
mirage5–13-0.0015%9 Mar →
mirage10–13-0.0116%8 Mar →
nuke8–120.0316%6 Mar →
vertigo13–90.0119%1 Mar →
mirage8–13-0.0420%1 Mar →
nuke2–130.0017%1 Mar →
mirage6–13-0.0317%22 Feb →
dust213–30.0311%22 Feb →
overpass13–6-0.103%22 Feb →
overpass5–13-0.0319%19 Feb →
dust213–110.0119%14 Feb →
nuke13–7-0.0116%14 Feb →
nuke13–8-0.0612%14 Feb →
mirage13–90.0418%13 Feb →
overpass13–9-0.0110%11 Feb →
mirage16–13-0.0214%11 Feb →
nuke16–140.0015%11 Feb →
anubis4–13-0.0413%11 Feb →
dust213–16-0.0221%10 Feb →
nuke13–5-0.0515%10 Feb →
nuke3–13-0.0738%8 Feb →
nuke15–15-0.0018%7 Feb →
ancient10–130.0017%7 Feb →
dust25–13-0.069%5 Feb →
nuke13–100.0115%5 Feb →
mirage13–7-0.0314%5 Feb →
mirage13–7-0.020%25 Jan →
vertigo13–70.050%25 Jan →
mirage_christmasnight4–13-0.010%25 Jan →
ancient12–160.070%25 Jan →
nuke17–19-0.010%25 Jan →
vertigo9–13-0.050%25 Jan →
ancient3–13-0.060%25 Jan →
cache_b9–13-0.040%25 Jan →
mirage19–17-0.010%24 Jan →
mirage2–13-0.0715%22 Jan →
dust211–13-0.0226%26 Dec →
palacio8–130.0730%23 Dec →
mirage5–130.0545%22 Dec →
mirage4–130.0214%21 Dec →
mirage10–13-0.0224%9 Dec →
overpass14–16-0.0635%25 Nov →
overpass13–3-0.0015%25 Nov →
ancient4–13-0.0226%19 Nov →
nuke8–130.0226%17 Nov →
mirage13–30.0219%17 Nov →
rooftop9–7-0.1019%17 Nov →
mirage9–13-0.0321%14 Aug →
ancient13–11-0.0020%14 Aug →
dust213–11-0.0022%26 Jun →
dust211–13-0.0625%24 Jun →
ancient13–9-0.046%11 Jun →
mirage8–130.0223%8 Jun →
dogtown5–9-0.1024%6 Jun →
nuke9–30.0522%6 Jun →
dust29–13-0.0018%13 May →
mirage5–13-0.0420%13 May →
anubis13–80.0825%28 Apr →
overpass7–9-0.0422%22 Apr →
mirage6–13-0.0820%31 Mar →
ancient13–4-0.0119%31 Mar →
dust210–13-0.0125%30 Mar →
mirage13–90.0222%25 Mar →
anubis13–16-0.0623%23 Mar →
nuke16–12-0.0722%12 Mar →
mirage13–110.0128%10 Mar →
nuke6–13-0.0518%9 Mar →
dust22–10-0.059%9 Mar →
dust27–13-0.0325%9 Mar →
ancient13–100.019%3 Mar →
nuke5–13-0.0514%28 Feb →

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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