fernandinho

fernandinho — CS2 Stats

76561198990505317[U:1:1030239589]Steam profile ↗✓ No bans

573Tracked matches57%Win rate2020Tracked since
1,541Hours in CS5Hrs last 2 wks
CSDB Rating6.6 SolidAll-Rounder
Premier CS Rating21,585Pink band · top ~6.8% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGfernandinhoPREMIER21,585 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning56
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateWTWTLWLWLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −3.3pp headshot accuracy · −55ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–1–2 · 40% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 26%
  • Avg reaction 580ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 29%
  • Avg reaction 568ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 30%
  • Avg reaction 595ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.0
Utility4.8
Positioning5.6
Opening Duels4.7

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 93% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

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

Reaction time. 581ms 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

Aim8.0
Positioning5.6
Utility4.8
Mechanics6.7
Opening Duels4.4
Win Impact7.4

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time591ms+19ms
first ⅓ avg 572ms → last ⅓ avg 591ms
Headshot accuracy29.3%+1.3%
first ⅓ avg 28.0% → last ⅓ avg 29.3%

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

0.17Best match rating · 12–12 · dust2, 6 Nov →
100%Best headshot accuracy · 2–13 · mirage, 12 Sept →
352msFastest reaction time · 0–13 · dust2, 26 Sept →
13–0Biggest win · mirage, 5 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 88% over 8dust2Weakest map · 45% over 20
MapGradePlayedRecordWin rateAvg rating
mirageA2415–963%0.03
dust2B209–1145%0.02
infernoB136–746%-0.02
ancientA117–464%0.02
anubisA95–456%0.02
cacheS87–188%0.03
nukeA74–357%0.04
vertigo—42–250%0.05
office—30–30%-0.00
eldorado—10–10%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,922Lifetime kills
1.09K/D
2,338Matches
48.4%Match win rate
57.1%Headshot %
11.8%Shot accuracy
7,779MVPs
956Hours (in match)
1,825Bombs planted
636Bombs defused

Most-used weapons

AK-4717,353
AWP5,471
SSG 081,666
SG 5531,122
Knife949
MP9792

Lifetime map wins

6,607dust2
2,372inferno
816train
749vertigo
629nuke
343office
290cbble
162italy

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.

28.8%Headshot accuracy
35.7%Accuracy (enemy spotted)
39.8%Spray accuracy
80.0%Counter-strafing
11.9°Preaim
581msReaction time
44.9%T opening success
50.2%CT opening success
0.44Enemies flashed / flash
8.8%Flash assists
12.51HE damage / grenade
8.44Flashes / 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. 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 0.4441 — below the 0.5 mark we flag

    Grenade Lineups →
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.

45% win rate across 20 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
anubis13–80.0327%11 Nov →
office12–12-0.0118%10 Nov →
inferno9–40.1231%6 Nov →
dust212–120.1728%6 Nov →
mirage14–160.0228%5 Nov →
anubis13–70.0724%5 Nov →
nuke7–130.0138%1 Nov →
mirage13–70.0131%31 Oct →
inferno5–130.0127%31 Oct →
office9–13-0.0236%29 Oct →
inferno8–8-0.0425%29 Oct →
ancient5–6-0.0150%28 Oct →
office3–130.0326%28 Oct →
cache13–30.1042%26 Oct →
nuke13–10-0.0022%19 Oct →
mirage13–70.0541%19 Oct →
mirage6–13-0.0023%19 Oct →
dust27–13-0.0140%19 Oct →
inferno2–9-0.0840%17 Oct →
nuke7–40.1311%17 Oct →
dust213–100.1124%17 Oct →
dust21–130.0127%17 Oct →
mirage13–00.1450%5 Oct →
mirage13–7-0.0133%5 Oct →
ancient13–4-0.0518%4 Oct →
nuke13–20.0015%4 Oct →
cache13–00.0324%4 Oct →
mirage13–100.0418%4 Oct →
dust29–130.0358%3 Oct →
anubis10–13-0.0519%3 Oct →
inferno13–2-0.0817%3 Oct →
inferno11–13-0.0126%3 Oct →
anubis13–30.0630%3 Oct →
inferno16–130.0222%3 Oct →
mirage9–13-0.0128%2 Oct →
cache13–9-0.0324%2 Oct →
dust27–13-0.0467%27 Sept →
vertigo13–60.0428%27 Sept →
vertigo12–120.0425%27 Sept →
inferno13–20.0119%27 Sept →
nuke13–40.0538%27 Sept →
cache13–100.0550%27 Sept →
mirage13–90.0223%27 Sept →
inferno8–13-0.0525%27 Sept →
dust20–13-0.120%26 Sept →
dust213–70.0420%26 Sept →
mirage13–110.0519%26 Sept →
nuke8–130.000%26 Sept →
dust29–13-0.0327%26 Sept →
inferno13–3-0.0632%26 Sept →
cache13–60.0220%25 Sept →
vertigo6–130.0723%25 Sept →
vertigo13–70.0534%25 Sept →
mirage13–70.0731%19 Sept →
mirage11–130.0323%19 Sept →
ancient13–70.0531%19 Sept →
ancient10–13-0.0021%18 Sept →
mirage13–10.0845%17 Sept →
mirage13–80.0115%13 Sept →
cache13–20.0717%13 Sept →
ancient13–60.0619%13 Sept →
dust213–80.0129%13 Sept →
mirage8–13-0.0439%13 Sept →
dust216–140.0437%13 Sept →
ancient13–6-0.0229%12 Sept →
mirage2–13-0.07100%12 Sept →
mirage13–110.0314%4 Sept →
dust213–40.0339%2 Sept →
inferno2–130.0119%2 Sept →
anubis13–3-0.0232%2 Sept →
dust214–160.0228%30 Aug →
nuke7–130.0525%29 Aug →
cache7–13-0.0033%29 Aug →
dust26–13-0.0015%29 Aug →
ancient13–40.0515%28 Aug →
mirage10–130.0130%28 Aug →
anubis2–130.0118%28 Aug →
dust215–150.0438%27 Aug →
dust28–13-0.0229%26 Aug →
cache13–110.0235%22 Aug →
anubis6–130.0038%22 Aug →
mirage13–60.0741%22 Aug →
mirage13–50.0226%22 Aug →
ancient4–13-0.0133%22 Aug →
inferno2–13-0.0529%21 Aug →
dust213–9-0.0140%21 Aug →
mirage11–13-0.0126%21 Aug →
mirage13–70.0417%1 Aug →
anubis6–130.0425%27 Jul →
anubis13–7-0.0118%27 Jul →
mirage6–13-0.0219%27 Jul →
ancient13–110.0629%25 Jul →
dust213–20.0618%25 Jul →
ancient13–70.0728%24 Jul →
mirage13–50.0837%24 Jul →
inferno16–12-0.0028%23 Jul →
dust213–110.0436%23 Jul →
dust213–40.1241%22 Jul →
eldorado8–80.1025%21 Jul →
ancient7–130.0215%21 Jul →

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 →

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