FibonacciTV | LFT

FibonacciTV | LFT — CS2 Stats

76561198834460597[U:1:874194869]Steam profile ↗✓ No bans

510Tracked matches41%Win rate2020Tracked since
466Hours in CS
CSDB Rating6.0 SolidPositional Player
FaceitLevel 10 · 2,080 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,733 -844 29 Mar – 26 Jun · 9 days played
16,73318,166peak 18,16629 Mar26 Jun
18,166Peak Premier in tracked matches
2,080Highest Faceit ELO seen on CSDB
57Days played since 2025-11-12

Faceit ELO

  • At peak — 2,080
  • Next: 2,500 ELO at 2,500 — 420 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate57.0%50.9%
Shot accuracy7.8%13.7%
Kill/death ratio1.191.09
Match win rate47.8%48.4%

Share this profile

CSDB.GGFibonacciTV | LFTFACEITLevel 10 · 2,080 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,080csdb.gg/stats

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Performance scores

Aim86
Positioning53
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY58–41–1Last 10058%Win rateWLWWLWLWWT

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −3.2pp headshot accuracy · −24ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 580ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 553ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 565ms

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 (+1.1 against its own average).

Aim8.6
Utility3.5
Positioning5.3
Opening Duels5.0
Clutch2.8

Sharp aimerExcellent counter-strafingLimited 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

m0NESY

Plays most like m0NESY 86% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 12.5° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 55% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning5.3
Utility3.5
Mechanics8.5
Opening Duels3.9
Win Impact2.1

Composite 6.0/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time546ms−50ms
first ⅓ avg 596ms → last ⅓ avg 546ms
Headshot accuracy25.0%−0.4%
first ⅓ avg 25.4% → last ⅓ avg 25.0%

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

0.18Best match rating · 13–4 · dust2, 28 Mar →
60%Best headshot accuracy · 13–3 · cache, 13 May →
367msFastest reaction time · 8–13 · ancient, 14 May →
13–0Biggest win · overpass, 29 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 83% over 6anubisWeakest map · 47% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB2512–1348%0.02
anubisB178–947%0.02
infernoB178–947%0.01
dust2S1713–476%0.03
ancientB84–450%0.03
nukeS64–267%-0.01
overpassS65–183%0.04
cache—33–0100%0.04
train—11–0100%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,095Lifetime kills
1.19K/D · Top 50% of Level 10 players
824Matches
47.8%Match win rate
57.0%Headshot % · Top 25% of Level 10 players
7.8%Shot accuracy
2,081MVPs
466Hours (in match)
434Bombs planted
173Bombs defused

Most-used weapons

Lifetime map wins

1,629dust2
1,408inferno
410vertigo
374nuke
180train
41office
22cbble
12stmarc

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

Faceit stats

Combat

333Matches
53%Win rate
1.10Avg K/D
81.5ADR
58%Headshot %

Clutches & streaks

34%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10150%1.1116.7
Dust28152%1.0416.5
Ancient6455%1.2317.0
Inferno4151%1.0118.0
Anubis1450%0.9314.7
Nuke1258%1.1417.5
Overpass1173%1.2315.4
Train580%1.1318.4

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.

24.2%Headshot accuracy
37.1%Accuracy (enemy spotted)
46.0%Spray accuracy
88.1%Counter-strafing
12.5°Preaim
542msReaction time
36.2%T opening success
55.1%CT opening success
0.45Enemies flashed / flash
1.2%Flash assists
9.87HE damage / grenade
3.33Flashes / 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 12.5303° — above the 12° mark we flag

    Aim Training →
  2. 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 0.4543 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–120.0720%7 Oct →
anubis11–130.0016%7 Oct →
nuke13–10-0.0121%26 Jun →
cache13–90.0126%16 Jun →
inferno8–13-0.0323%16 Jun →
dust213–90.0619%1 Jun →
mirage14–16-0.0421%1 Jun →
mirage13–100.0331%22 May →
dust213–80.0631%20 May →
anubis15–15-0.0121%20 May →
inferno7–130.0236%20 May →
dust213–110.0326%20 May →
mirage8–13-0.0216%15 May →
dust27–13-0.0544%14 May →
mirage13–16-0.0122%14 May →
mirage5–10.0625%14 May →
ancient8–130.0222%14 May →
dust211–130.0213%14 May →
anubis10–130.0325%14 May →
inferno13–40.0932%14 May →
cache13–30.0360%13 May →
inferno15–190.0317%13 May →
anubis11–13-0.0326%8 May →
inferno3–130.0238%6 May →
anubis7–13-0.018%6 May →
nuke5–13-0.0630%5 May →
inferno13–10-0.0316%5 May →
mirage5–13-0.0819%1 May →
anubis11–13-0.0117%30 Apr →
cache13–70.0934%29 Apr →
anubis13–9-0.0017%29 Apr →
dust213–90.0320%28 Apr →
inferno14–16-0.0131%22 Apr →
overpass13–9-0.0124%21 Apr →
inferno8–13-0.0519%15 Apr →
dust213–8-0.0418%13 Apr →
inferno13–60.0218%11 Apr →
anubis7–130.0537%11 Apr →
inferno13–2-0.0228%10 Apr →
dust28–13-0.0231%10 Apr →
overpass13–90.0237%10 Apr →
anubis13–4-0.0110%10 Apr →
nuke13–7-0.0313%8 Apr →
anubis13–9-0.0416%8 Apr →
overpass11–130.0321%7 Apr →
anubis13–60.1024%4 Apr →
inferno13–70.0022%3 Apr →
anubis8–13-0.0426%31 Mar →
inferno8–13-0.0224%29 Mar →
dust213–70.0424%29 Mar →
mirage7–130.0136%29 Mar →
ancient2–13-0.0426%29 Mar →
mirage4–00.1236%29 Mar →
mirage13–100.0126%28 Mar →
dust213–40.1830%28 Mar →
nuke6–13-0.0517%28 Mar →
ancient13–70.1528%28 Mar →
dust213–70.0639%28 Mar →
nuke13–90.0926%28 Mar →
mirage13–20.1126%28 Mar →
nuke13–80.0133%23 Mar →
mirage9–13-0.0321%20 Mar →
inferno13–4-0.0122%20 Mar →
mirage13–60.0922%19 Mar →
mirage13–30.0528%18 Mar →
mirage13–30.0621%18 Mar →
anubis13–110.0026%18 Mar →
inferno7–13-0.0618%20 Feb →
anubis7–130.1528%4 Feb →
anubis13–100.0333%4 Feb →
mirage13–16-0.0221%3 Feb →
inferno13–40.1232%3 Feb →
mirage10–130.0930%3 Feb →
mirage13–40.0334%3 Feb →
dust213–40.0423%27 Jan →
anubis13–11-0.0231%12 Jan →
train16–14-0.0016%30 Dec →
ancient5–13-0.0616%29 Dec →
mirage13–100.0327%29 Dec →
dust216–120.0425%28 Dec →
mirage13–60.0525%22 Dec →
ancient13–10-0.0121%19 Dec →
inferno13–100.0344%18 Dec →
ancient7–130.0127%18 Dec →
overpass13–110.0625%16 Dec →
dust213–80.0129%11 Dec →
dust211–130.0333%8 Dec →
overpass13–90.0418%8 Dec →
dust216–13-0.0017%7 Dec →
mirage9–130.0018%5 Dec →
inferno7–13-0.0238%4 Dec →
mirage7–13-0.0122%1 Dec →
overpass13–00.1227%29 Nov →
ancient13–00.1123%29 Nov →
mirage8–130.0418%23 Nov →
dust213–8-0.0524%19 Nov →
mirage13–100.0319%19 Nov →
mirage10–13-0.0026%18 Nov →
mirage5–13-0.0422%13 Nov →
ancient13–50.0424%12 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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