Fernand〄 S™ — CS2 Stats

76561199083745878[U:1:1123480150]

731Tracked matches50%Win rate2024Tracked since
1,186Hours in CS8Hrs last 2 wks
CSDB Rating3.7 Learning
Premier CS Rating1,933Grey band · top ~91.8% of ranked players (population est.)
CSDB Leaderboard#43908 of 56033 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 2 medianLevel 3 medianvs Level 3
Headshot rate37.3%41.2%42.2%4.9% short
Shot accuracy0.2%12.5%11.9%11.7% short
Kill/death ratio0.810.960.980.17 short
Match win rate40.0%42.8%43.6%3.6% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFernand〄 S™FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER1,933 · Grey bandcsdb.gg/stats

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Performance scores

Aim41
Positioning42
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY40582Last 10040%Win rateLWLLLLWWWL

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

Player DNA

Aim4.1
Aggression5.6
Utility1.4
Positioning4.2
Opening Duels2.1
Clutch2.6

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

b1t

Plays most like b1t 74% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 714ms 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

Aim4.1
Positioning4.2
Utility1.4
Mechanics7.3
Opening Duels2.1
Win Impact5.0

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time720ms−1ms
first ⅓ avg 721ms → last ⅓ avg 720ms
Headshot accuracy14.7%+1.6%
first ⅓ avg 13.1% → 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.

Highlights

0.12Best rating — ancient 13–2
132Biggest win — inferno
8Longest win streak
68In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 53% over 17infernoWeakest map · 32% over 28
MapGradePlayedRecordWin rateAvg rating
infernoD2891932%-0.07
mirageC1981142%-0.00
nukeB179853%-0.00
dust2B178947%-0.01
ancientB115645%-0.01
anubis2020%-0.05
cache2020%-0.00
overpass21150%-0.01
vertigo1010%-0.08
poseidon1010%-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,187Lifetime kills
0.81K/D
1,937Matches
40.0%Match win rate
37.3%Headshot %
0.2%Shot accuracy
2,857MVPs
678Hours (in match)
1,102Bombs planted
261Bombs defused

Most-used weapons

Lifetime map wins

4,024dust2
2,375inferno
2,070nuke
586train
443vertigo
416office
113italy
7ar_shoots

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

Faceit stats

Combat

13Matches
8%Win rate
0.55Avg K/D
54.1ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.437.0
Inferno30%0.457.7
Dust230%0.6912.7
Anubis10%0.6111.0
Nuke10%0.9019.0

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.

12.9%Headshot accuracy
32.4%Accuracy (enemy spotted)
30.8%Spray accuracy
83.0%Counter-strafing
11.1°Preaim
714msReaction time
37.6%T opening success
39.1%CT opening success
0.22Enemies flashed / flash
0.0%Flash assists
9.48HE damage / grenade
0.70Flashes / 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 12.8835% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 714.1293ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.2151 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0310%30 Aug
nuke13–100.0116%30 Aug
ancient9–13-0.056%23 Aug
anubis6–13-0.0610%23 Aug
mirage7–13-0.034%23 Aug
mirage4–13-0.059%23 Aug
inferno13–80.0018%22 Aug
nuke13–8-0.0710%22 Aug
nuke13–50.0210%22 Aug
dust210–130.0318%17 Aug
dust29–13-0.0121%17 Aug
nuke13–100.0214%17 Aug
inferno13–20.0419%16 Aug
dust213–6-0.019%16 Aug
ancient10–13-0.0413%16 Aug
ancient8–13-0.0112%15 Aug
nuke10–13-0.0512%15 Aug
inferno13–40.0712%15 Aug
nuke13–60.048%15 Aug
mirage10–130.0314%9 Aug
mirage13–60.0617%9 Aug
anubis10–13-0.0416%9 Aug
inferno1–9-0.0817%9 Aug
inferno4–9-0.0430%9 Aug
dust29–13-0.0521%3 Aug
ancient11–13-0.045%3 Aug
inferno8–13-0.0615%3 Aug
inferno4–9-0.110%3 Aug
inferno2–90.0038%3 Aug
inferno0–9-0.1825%3 Aug
mirage13–7-0.0017%2 Aug
mirage13–70.0615%2 Aug
inferno5–2-0.0223%2 Aug
mirage13–90.087%2 Aug
dust213–70.0013%2 Aug
ancient13–20.1213%2 Aug
mirage13–7-0.0110%2 Aug
mirage13–80.036%25 Jul
inferno10–130.025%25 Jul
inferno9–5-0.025%25 Jul
dust26–13-0.0020%25 Jul
mirage8–13-0.0312%25 Jul
inferno10–130.0010%19 Jul
nuke10–13-0.0110%19 Jul
ancient13–110.0115%19 Jul
nuke11–13-0.053%19 Jul
inferno0–9-0.2612%19 Jul
inferno5–13-0.0526%12 Jul
dust213–6-0.0318%12 Jul
mirage16–140.0011%12 Jul
dust213–90.0610%12 Jul
dust27–13-0.0314%12 Jul
inferno6–9-0.0715%12 Jul
ancient12–16-0.0113%11 Jul
nuke11–13-0.0010%11 Jul
cache6–13-0.0825%11 Jul
inferno2–9-0.1612%11 Jul
ancient13–7-0.0318%10 Jul
dust26–13-0.0719%10 Jul
vertigo2–10-0.0814%10 Jul
nuke13–60.039%5 Jul
dust213–60.0910%5 Jul
mirage9–130.075%5 Jul
mirage13–9-0.049%5 Jul
inferno9–5-0.1933%5 Jul
mirage7–13-0.0624%4 Jul
mirage6–13-0.0515%4 Jul
inferno1–13-0.069%4 Jul
inferno8–80.097%4 Jul
nuke13–90.0220%28 Jun
mirage7–13-0.0217%28 Jun
nuke13–11-0.0014%27 Jun
inferno13–70.0126%27 Jun
ancient13–7-0.0412%27 Jun
inferno6–9-0.1411%27 Jun
dust213–11-0.0417%20 Jun
mirage11–13-0.0317%20 Jun
dust213–110.0311%20 Jun
inferno3–9-0.145%20 Jun
ancient13–8-0.0613%15 Jun
dust26–130.027%7 Jun
mirage8–13-0.0518%7 Jun
poseidon4–9-0.1011%7 Jun
mirage15–150.019%6 Jun
dust210–13-0.0213%6 Jun
inferno13–9-0.0626%6 Jun
nuke12–16-0.0312%31 May
dust213–6-0.0913%31 May
nuke11–13-0.0213%31 May
cache7–130.089%31 May
inferno9–4-0.024%31 May
overpass4–13-0.0311%25 May
ancient11–130.0315%25 May
inferno10–13-0.0614%24 May
inferno0–9-0.240%24 May
overpass16–140.0116%23 May
nuke8–13-0.0214%23 May
inferno4–9-0.1226%23 May
dust211–13-0.0812%17 May
nuke13–60.0610%17 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →