qfflinerrrr

qfflinerrrr — CS2 Stats

DE76561197975231896[U:1:14966168]Steam profile ↗✓ No bans

1,369Tracked matches30%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
CSDB Leaderboard#44452 of 247870 tracked
FaceitLevel 8 · 1,906 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,720 +1,067 21 Oct – 17 Nov · 5 days played
21,54723,009peak 23,00921 Oct17 Nov
23,112Peak Premier in tracked matches
1,906Highest Faceit ELO seen on CSDB
36Days played since 2025-10-21

Faceit ELO

  • At peak — 1,906
  • Next: Level 10 at 2,001 — 95 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

Share this profile

CSDB.GGqfflinerrrrFACEITLevel 8 · 1,906 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,906csdb.gg/stats

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Performance scores

Aim59
Positioning59
Utility77

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateLLWLWLLLWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −3.6pp headshot accuracy · −99ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 542ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 592ms

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 (+2.1 against its own average).

Aim5.9
Utility7.7
Positioning5.9
Opening Duels4.6
Clutch4.0

Effective flashesHigh utility contribution

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 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 54% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim5.9
Positioning5.9
Utility7.7
Mechanics5.8
Opening Duels3.8
Win Impact0.0

Composite 5.1/10 (Developing), 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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time597ms−16ms
first ⅓ avg 614ms → last ⅓ avg 597ms
Headshot accuracy23.1%+0.6%
first ⅓ avg 22.5% → last ⅓ avg 23.1%

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

0.26Best match rating · 9–1 · inferno, 19 Nov →
63%Best headshot accuracy · 2–13 · train, 28 Oct →
398msFastest reaction time · 13–6 · cache, 8 Sept →
13–2Biggest win · dust2, 18 Dec →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
9–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 53% over 17dust2Weakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC3716–2143%0.01
cacheC228–1436%0.00
ancientB179–853%0.02
dust2D62–433%-0.02
anubisC52–340%-0.00
vertigo—21–150%-0.01
nuke—21–150%-0.01
overpass—21–150%-0.05
rooftop—20–20%-0.08
debris—11–0100%0.09
poseidon—11–0100%-0.07
fachwerk—10–10%0.03
mirage—11–0100%-0.06
train—10–10%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,851Matches
51%Win rate
1.06Avg K/D
79.3ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient10649%1.0916.0
Inferno10462%1.1316.6
Dust25240%0.9114.5
Anubis5133%1.0316.6
Cache1553%1.0415.3
Overpass1354%1.0318.1
Nuke862%1.0516.4
Train650%0.8615.0

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.

21.2%Headshot accuracy
29.8%Accuracy (enemy spotted)
28.7%Spray accuracy
76.0%Counter-strafing
9.5°Preaim
577msReaction time
36.6%T opening success
53.7%CT opening success
0.72Enemies flashed / flash
6.4%Flash assists
15.54HE damage / grenade
18.71Flashes / 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

    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 36.5747% — 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.

33% win rate across 6 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
cache5–13-0.0113%25 Sept →
cache9–130.0327%25 Sept →
inferno13–60.0221%17 Sept →
cache14–160.0515%15 Sept →
debris9–40.0928%11 Sept →
inferno4–13-0.0417%11 Sept →
cache4–13-0.0823%11 Sept →
vertigo3–9-0.0924%11 Sept →
cache13–60.0520%8 Sept →
inferno8–130.0021%8 Sept →
inferno9–4-0.0432%8 Sept →
inferno13–110.0527%21 Aug →
poseidon9–5-0.0726%11 Aug →
fachwerk4–130.0313%6 Aug →
nuke8–8-0.0131%23 Jul →
inferno9–130.0326%23 Jul →
cache7–13-0.0331%23 Jul →
ancient16–120.0316%23 Jul →
dust213–16-0.0223%9 Jul →
ancient13–90.0418%9 Jul →
cache10–13-0.0327%9 Jul →
cache10–13-0.0318%9 Jul →
inferno13–70.0516%7 Jul →
anubis7–13-0.0118%7 Jul →
inferno16–190.0024%7 Jul →
inferno6–13-0.0320%30 Jun →
ancient9–130.0327%30 Jun →
ancient13–110.0215%30 Jun →
overpass4–13-0.1138%30 Jun →
inferno8–13-0.0727%23 Jun →
anubis22–190.0416%23 Jun →
ancient10–13-0.0123%23 Jun →
vertigo9–40.0740%17 Jun →
inferno8–13-0.0320%17 Jun →
inferno13–3-0.0312%17 Jun →
cache7–130.0226%17 Jun →
inferno13–11-0.0410%16 Jun →
ancient11–130.0019%16 Jun →
anubis13–6-0.0019%16 Jun →
cache13–4-0.0329%16 Jun →
overpass13–50.0125%16 Jun →
cache12–12-0.0215%11 Jun →
inferno2–13-0.066%11 Jun →
cache13–40.0625%11 Jun →
ancient16–140.0521%11 Jun →
inferno14–160.0122%4 Jun →
ancient13–6-0.0223%4 Jun →
anubis7–13-0.0611%4 Jun →
inferno13–5-0.0728%4 Jun →
ancient7–130.0219%13 May →
inferno13–9-0.0318%13 May →
cache13–40.0224%13 May →
cache6–130.0626%13 May →
inferno9–40.1129%13 May →
inferno9–130.0525%5 May →
cache13–90.0626%5 May →
dust25–13-0.1230%5 May →
cache7–13-0.0521%5 May →
inferno7–90.0525%5 May →
cache12–120.0527%30 Apr →
cache11–130.0033%30 Apr →
cache13–110.0129%30 Apr →
cache13–70.0219%30 Apr →
cache2–13-0.0325%30 Apr →
cache13–5-0.0519%30 Apr →
inferno13–110.0220%27 Apr →
dust27–13-0.0635%27 Apr →
inferno13–16-0.0412%27 Apr →
dust213–7-0.0315%30 Mar →
inferno6–90.0828%29 Jan →
inferno4–130.0434%29 Jan →
inferno6–13-0.0618%29 Jan →
anubis6–130.0216%15 Jan →
inferno8–8-0.0117%6 Jan →
inferno9–50.1019%6 Jan →
ancient7–130.0321%6 Jan →
inferno13–110.0120%30 Dec →
ancient6–13-0.0424%30 Dec →
inferno6–13-0.0231%30 Dec →
inferno3–13-0.0613%18 Dec →
ancient13–70.0425%18 Dec →
dust213–20.1722%18 Dec →
inferno13–100.0921%18 Dec →
inferno7–9-0.0127%10 Dec →
nuke9–50.0020%10 Dec →
ancient11–130.0318%20 Nov →
dust26–13-0.0412%19 Nov →
inferno9–10.2620%19 Nov →
mirage13–9-0.0617%17 Nov →
rooftop6–9-0.1213%17 Nov →
ancient13–16-0.0112%13 Nov →
inferno10–130.0218%3 Nov →
ancient16–140.0223%3 Nov →
rooftop4–9-0.0436%3 Nov →
inferno13–20.0931%28 Oct →
train2–13-0.0963%28 Oct →
inferno13–11-0.0226%28 Oct →
ancient13–60.0628%28 Oct →
inferno5–130.0124%24 Oct →
ancient16–120.0721%21 Oct →

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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