Biiffi

Biiffi — CS2 Stats

FI76561198070888955[U:1:110623227]Steam profile ↗✓ No bans

1,674Tracked matches47%Win rate2020Tracked since
6,177Hours in CS14Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 27,919 +2,167 25 Mar – 2 Jul · 14 days played
25,75227,919peak 27,91925 Mar2 Jul
27,919Peak Premier in tracked matches
1,864Highest Faceit ELO seen on CSDB
45Days played since 2026-03-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,332), 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 9 medianLevel 10 medianvs Level 10
Headshot rate38.2%48.2%50.9%12.7% short
Shot accuracy13.9%13.3%13.7%meets
Kill/death ratio1.211.071.09above
Match win rate49.8%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBiiffiFACEITLevel 9STANDINGTop 20.7% of rankedPEAK ELO1,864csdb.gg/stats

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Performance scores

Aim56
Positioning51
Utility80

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateLLWWWLWWWL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +1.7pp headshot accuracy · −61ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 469ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 532ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 563ms

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 (+3.4 against its own average).

Aim5.6
Utility8.0
Positioning5.1
Opening Duels1.6
Clutch3.8

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

Twistzz

Plays most like Twistzz 68% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Utility. Utility score of 80 — grenade impact well above the norm.

Areas to improve

Reaction time. 560ms 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

Aim5.6
Positioning5.1
Utility8.0
Mechanics5.2
Opening Duels1.7
Win Impact3.9

Composite 5.2/10 (Developing), 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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time558ms−80ms
first ⅓ avg 638ms → last ⅓ avg 558ms
Headshot accuracy14.7%−0.6%
first ⅓ avg 15.3% → last ⅓ avg 14.7%

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

0.15Best match rating · 13–7 · mirage, 22 Jul →
39%Best headshot accuracy · 5–13 · dust2, 29 Aug →
406msFastest reaction time · 13–11 · inferno, 31 Aug →
12–0Biggest win · cache, 4 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 67% over 21dust2Weakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
nukeA2414–1058%0.00
dust2C249–1538%-0.00
infernoS2114–767%0.00
cacheB137–654%0.01
ancientC94–544%0.01
mirageB63–350%0.03
anubis—21–150%-0.00
overpass—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

175,233Lifetime kills
1.21K/D · Top 25% of Level 9 players
7,563Matches
49.8%Match win rate · Top 25% of Level 9 players
38.2%Headshot %
13.9%Shot accuracy · Top 50% of Level 9 players
20,427MVPs
3,431Hours (in match)
10,546Bombs planted
2,208Bombs defused

Most-used weapons

AK-4753,464
AWP23,828
P25010,471
AUG9,061

Lifetime map wins

23,685dust2
18,058inferno
16,948nuke
5,435train
782vertigo
676cbble
479aztec
256militia

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

Faceit stats

Combat

722Matches
53%Win rate
1.13Avg K/D
79.0ADR
35%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke8056%1.2116.1
Dust27250%1.1215.8
Inferno7064%1.2215.4
Ancient2748%1.1016.9
Anubis2157%1.0114.6
Cache1443%1.3615.9
Mirage1338%0.8413.0
Overpass450%0.7112.0

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.

14.8%Headshot accuracy
30.9%Accuracy (enemy spotted)
34.8%Spray accuracy
73.4%Counter-strafing
9.9°Preaim
560msReaction time
30.2%T opening success
43.0%CT opening success
0.72Enemies flashed / flash
11.0%Flash assists
10.54HE damage / grenade
16.97Flashes / 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. 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 14.7949% — below the 15% mark we flag

    Aim Training →
  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 30.2112% — 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.

38% win rate across 24 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
nuke7–130.0124%9 Oct →
mirage8–13-0.018%9 Oct →
ancient13–90.0212%2 Oct →
cache13–9-0.0129%2 Oct →
inferno13–110.0017%2 Oct →
dust21–13-0.0818%28 Sept →
nuke13–110.059%13 Sept →
inferno13–4-0.048%8 Sept →
nuke13–70.0117%8 Sept →
nuke4–13-0.0614%6 Sept →
nuke13–80.025%5 Sept →
dust210–130.0120%5 Sept →
nuke13–60.0413%5 Sept →
nuke9–13-0.0820%4 Sept →
inferno4–13-0.0611%3 Sept →
dust28–13-0.057%3 Sept →
dust28–13-0.0215%1 Sept →
dust213–30.0513%1 Sept →
inferno8–13-0.0426%1 Sept →
inferno13–70.039%1 Sept →
nuke0–13-0.0713%31 Aug →
inferno13–110.019%31 Aug →
inferno16–13-0.0212%30 Aug →
ancient5–13-0.0422%30 Aug →
cache10–130.1015%30 Aug →
nuke4–13-0.059%29 Aug →
dust25–13-0.0839%29 Aug →
inferno13–7-0.0217%25 Aug →
cache17–19-0.029%23 Aug →
cache13–20.019%23 Aug →
ancient13–100.0213%23 Aug →
inferno13–70.0712%22 Aug →
dust213–110.0411%22 Aug →
cache6–13-0.0015%22 Aug →
inferno10–130.0226%22 Aug →
nuke13–5-0.0611%22 Aug →
cache12–16-0.0326%12 Aug →
nuke13–9-0.0213%12 Aug →
cache13–40.0916%4 Aug →
inferno13–40.0420%4 Aug →
nuke13–8-0.0117%4 Aug →
dust213–8-0.008%4 Aug →
cache12–00.0211%4 Aug →
inferno8–130.0116%3 Aug →
dust219–170.0114%3 Aug →
anubis13–50.0114%29 Jul →
dust210–130.0215%29 Jul →
ancient5–13-0.0421%29 Jul →
nuke13–10.0917%22 Jul →
mirage13–70.1524%22 Jul →
nuke8–13-0.0410%21 Jul →
anubis9–13-0.0211%21 Jul →
ancient13–80.078%20 Jul →
inferno13–50.039%20 Jul →
inferno7–130.0420%13 Jul →
cache4–13-0.0915%13 Jul →
dust213–100.028%13 Jul →
cache4–130.007%12 Jul →
inferno6–13-0.018%11 Jul →
inferno13–110.0518%11 Jul →
cache13–60.0611%11 Jul →
cache13–9-0.0413%9 Jul →
nuke13–60.1023%9 Jul →
dust26–13-0.0423%9 Jul →
dust213–70.1019%9 Jul →
mirage13–40.0224%2 Jul →
dust25–130.0120%29 Jun →
dust29–13-0.027%29 Jun →
inferno13–60.0515%29 Jun →
nuke13–70.0525%28 Jun →
inferno2–13-0.0514%28 Jun →
mirage13–90.0920%28 Jun →
dust211–130.0415%28 Jun →
nuke9–130.0514%26 Jun →
ancient10–130.0118%26 Jun →
nuke13–60.0315%26 Jun →
dust28–13-0.0315%22 Jun →
dust26–130.0015%18 Jun →
inferno13–10-0.0217%12 Jun →
mirage8–13-0.0212%10 Jun →
dust213–10-0.0321%10 Jun →
ancient7–13-0.0412%8 Jun →
inferno13–50.0113%20 May →
nuke13–100.0022%20 May →
ancient13–110.0412%20 May →
nuke13–10-0.0215%17 May →
mirage7–13-0.0617%17 May →
dust28–13-0.0413%17 May →
nuke7–13-0.0217%2 May →
dust213–60.0613%29 Apr →
nuke15–190.0313%29 Apr →
overpass11–13-0.0517%29 Apr →
cache13–90.0522%29 Apr →
dust26–13-0.0422%25 Apr →
dust213–60.0412%25 Apr →
nuke13–110.0416%11 Apr →
nuke8–13-0.0113%29 Mar →
inferno13–7-0.0517%28 Mar →
dust27–13-0.086%25 Mar →
ancient10–130.0211%25 Mar →

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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