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[F.C.F] - Biltong

[F.C.F] - Biltong — CS2 Stats

76561198985133837[U:1:1024868109]Steam profile ↗

2,258Tracked matches40%Win rate2020Tracked since
3,525Hours in CS2Hrs last 2 wks
CSDB Rating3.6 Learning
Premier CS Rating10,803Blue band · top ~50.6% of ranked players (population est.)
CSDB Leaderboard#24643 of 34569 tracked
WingmanSilver IV
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.9%41.7%44.1%6.2% short
Shot accuracy20.6%8.8%11.4%above
Kill/death ratio1.270.971.03above
Match win rate25.8%43.8%45.2%19.4% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GG[F.C.F] - BiltongPREMIER10,803 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim45
Positioning37
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateWLLWLLLLWW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim4.5
Aggression2.4
Utility3.0
Positioning3.7
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 70% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 684ms 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

Aim4.5
Positioning3.7
Utility3.0
Mechanics6.9
Opening Duels0.2
Win Impact1.7

Composite 3.6/10 (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 0.01 → last ⅓ avg -0.01
Reaction time677ms−14ms
first ⅓ avg 691ms → last ⅓ avg 677ms
Headshot accuracy13.0%−0.5%
first ⅓ avg 13.6% → last ⅓ avg 13.0%

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.

Highlights

0.21Best rating — inferno 9–0
13–2Biggest win — inferno
6Longest win streak
6–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 62% over 13nukeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC218–1338%-0.02
infernoB178–947%0.01
dust2A148–657%-0.00
anubisC145–936%0.02
ancientA138–562%-0.01
nukeD134–931%-0.01
overpass—42–250%-0.03
cache—32–167%-0.02
train—11–0100%0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

182,773Lifetime kills
1.27K/D · Top 10% of Blue band
7,883Matches
25.8%Match win rate
37.9%Headshot %
20.6%Shot accuracy · Top 1% of Blue band
9,722MVPs
3,081Hours (in match)
4,486Bombs planted
1,051Bombs defused

Most-used weapons

AK-4761,714
M4A4 / M4A1-S34,219
AWP26,066
Desert Eagle16,241
P2000 / USP-S7,341
MP94,428
Glock-184,126
SSG 083,028
SG 5532,945
Galil AR2,569

Lifetime map wins

9,959dust2
4,865inferno
4,543nuke
3,194vertigo
1,061office
631train
405italy
217lake

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

Skill profile

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

12.6%Headshot accuracy
31.8%Accuracy (enemy spotted)
38.2%Spray accuracy
80.9%Counter-strafing
11.4°Preaim
684msReaction time
19.0%T opening success
31.2%CT opening success
0.50Enemies flashed / flash
1.1%Flash assists
7.07HE damage / grenade
2.95Flashes / 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 12.5842% — below the 15% 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 0.4957 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 19.0198% — below the 40% mark we flag

Spend your practice time on Nuke

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–20.0113%23 Aug →
inferno9–130.0017%16 Aug →
inferno9–13-0.0421%16 Aug →
ancient13–5-0.086%9 Aug →
mirage9–13-0.0413%8 Aug →
ancient3–130.0312%8 Aug →
mirage12–16-0.0112%30 Jul →
dust23–13-0.0816%30 Jul →
mirage13–9-0.1116%28 Jul →
mirage13–90.0422%28 Jul →
ancient16–140.0212%27 Jul →
mirage11–13-0.0212%27 Jul →
ancient13–8-0.0011%25 Jul →
nuke13–20.094%25 Jul →
dust210–13-0.0114%25 Jul →
dust213–9-0.0212%25 Jul →
mirage5–13-0.0214%15 Jul →
cache11–13-0.0111%13 Jul →
nuke8–13-0.036%13 Jul →
cache13–50.047%13 Jul →
nuke2–13-0.0721%13 Jul →
mirage9–13-0.0413%12 Jul →
inferno13–40.0316%12 Jul →
mirage11–13-0.0512%12 Jul →
inferno4–13-0.0816%12 Jul →
ancient13–60.024%12 Jul →
anubis13–50.1714%12 Jul →
mirage7–13-0.0215%5 Jul →
nuke4–13-0.028%5 Jul →
nuke11–13-0.046%5 Jul →
anubis6–13-0.0118%5 Jul →
dust213–80.1127%5 Jul →
inferno13–7-0.018%4 Jul →
ancient5–13-0.1113%4 Jul →
anubis11–13-0.0211%4 Jul →
dust26–13-0.0321%4 Jul →
mirage11–13-0.0610%3 Jul →
cache13–4-0.0711%3 Jul →
ancient13–90.0213%3 Jul →
nuke13–30.0820%3 Jul →
dust213–3-0.0211%3 Jul →
nuke13–2-0.0132%2 Jul →
inferno14–16-0.049%2 Jul →
ancient13–6-0.0314%2 Jul →
dust210–13-0.0013%29 Jun →
anubis6–13-0.057%29 Jun →
ancient5–13-0.0314%29 Jun →
inferno3–13-0.0619%29 Jun →
anubis5–13-0.006%27 Jun →
nuke13–11-0.0013%21 Jun →
overpass10–13-0.0516%21 Jun →
dust213–6-0.0214%21 Jun →
anubis13–40.1513%21 Jun →
mirage9–00.0117%21 Jun →
mirage6–13-0.1021%21 Jun →
mirage16–130.059%21 Jun →
anubis9–130.017%20 Jun →
ancient10–13-0.0413%20 Jun →
dust24–13-0.088%20 Jun →
nuke14–16-0.035%20 Jun →
anubis13–100.0511%20 Jun →
anubis13–10-0.0112%19 Jun →
overpass13–110.018%19 Jun →
dust213–8-0.0320%19 Jun →
anubis13–30.0314%19 Jun →
mirage13–110.0510%19 Jun →
nuke6–13-0.035%17 Jun →
inferno13–40.0420%17 Jun →
dust213–80.0216%17 Jun →
inferno13–50.0718%17 Jun →
ancient11–130.019%16 Jun →
dust213–40.0319%16 Jun →
overpass13–7-0.0413%16 Jun →
inferno13–100.0316%16 Jun →
mirage13–4-0.0113%16 Jun →
anubis6–13-0.009%16 Jun →
nuke6–13-0.0416%16 Jun →
train13–90.108%16 Jun →
ancient13–40.013%16 Jun →
ancient13–110.0120%15 Jun →
nuke11–13-0.015%15 Jun →
nuke7–13-0.0410%15 Jun →
overpass9–13-0.0520%15 Jun →
dust23–13-0.0314%15 Jun →
anubis5–130.014%15 Jun →
inferno9–00.210%15 Jun →
mirage9–130.0118%14 Jun →
inferno9–20.1714%14 Jun →
anubis8–13-0.0314%14 Jun →
inferno8–13-0.0518%14 Jun →
anubis1–13-0.0320%14 Jun →
inferno9–13-0.0314%14 Jun →
mirage13–7-0.0413%13 Jun →
inferno10–13-0.0424%13 Jun →
mirage9–13-0.0113%13 Jun →
inferno6–13-0.0414%7 Jun →
mirage16–14-0.0115%7 Jun →
dust213–30.0915%7 Jun →
mirage13–16-0.059%20 May →
mirage1–13-0.0616%20 May →

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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