Fernanda Maximo

Fernanda Maximo — CS2 Stats

SV76561198899560665[U:1:939294937]Steam profile ↗✓ No bans

1,037Tracked matches52%Win rate2020Tracked since
2,565Hours in CS41Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating12,777Blue band · top ~40.2% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,777 +4,690 3 Oct – 27 Oct · 8 days played
8,08712,777peak 12,7773 Oct27 Oct
12,938Peak Premier in tracked matches
18Days played since 2026-09-27

Premier CS Rating

  • At peak — 12,777
  • +4,690 over 30 days · improving
  • Next: Purple band at 15,000 — 2,223 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 rate40.1%42.0%44.4%4.3% short
Shot accuracy12.1%9.6%11.9%above
Kill/death ratio0.740.981.030.29 short
Match win rate36.9%43.8%45.2%8.3% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGFernanda MaximoPREMIER12,777 · Blue bandcsdb.gg/stats

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Performance scores

Aim56
Positioning54
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateLLWWLWWWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −1.3pp headshot accuracy · −88ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 461ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 494ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 538ms

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 (+1.3 against its own average).

Aim5.6
Utility4.5
Positioning5.4
Opening Duels2.8
Clutch3.8

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

jL

Plays most like jL 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

CT openings. Opening success drops from 55% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 591ms 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
Positioning5.4
Utility4.5
Mechanics6.3
Opening Duels4.4
Win Impact5.6

Composite 5.1/10 (Developing), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time577ms−57ms
first ⅓ avg 634ms → last ⅓ avg 577ms
Headshot accuracy15.6%−1.9%
first ⅓ avg 17.5% → last ⅓ avg 15.6%

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 · 9–1 · nuke, 2 Oct →
46%Best headshot accuracy · 6–9 · poseidon, 2 Oct →
391msFastest reaction time · 2–10 · vertigo, 2 Oct →
13–0Biggest win · inferno, 16 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
5–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 82% over 11vertigoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
nukeB158–753%-0.02
dust2C146–843%-0.02
vertigoC114–736%-0.04
infernoS119–282%-0.02
ancientA117–464%-0.03
mirageS107–370%-0.02
cacheC94–544%-0.05
trainC73–443%-0.03
italy—43–175%-0.06
anubis—42–250%-0.01
office—21–150%-0.04
overpass—10–10%-0.06
poseidon—10–10%-0.07

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,303Lifetime kills
0.74K/D
3,179Matches
36.9%Match win rate
40.1%Headshot %
12.1%Shot accuracy · Top 50% of Blue band
4,741MVPs
1,306Hours (in match)
2,148Bombs planted
653Bombs defused

Most-used weapons

AK-4713,278
AWP7,553
SSG 081,926
P901,483
FAMAS1,015
P250902

Lifetime map wins

5,541dust2
4,500inferno
3,048nuke
1,585train
891vertigo
729office
120italy
90cbble

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

Faceit stats

Combat

235Matches
49%Win rate
0.75Avg K/D
55.7ADR
38%Headshot %

Clutches & streaks

39%1v1 clutch win
13%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust22045%0.609.8
Inferno1471%0.7110.6
Mirage933%0.488.7
Nuke838%0.6411.5
Anubis714%0.5511.4
Ancient771%0.7213.0
Vertigo425%0.6610.8

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.

16.0%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.9%Spray accuracy
78.4%Counter-strafing
13.2°Preaim
591msReaction time
55.2%T opening success
40.1%CT opening success
0.61Enemies flashed / flash
2.8%Flash assists
5.04HE damage / grenade
10.30Flashes / 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 13.1632° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Vertigo

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo8–130.0611%28 Oct →
cache7–130.0136%28 Oct →
cache2–0-0.030%28 Oct →
mirage13–7-0.0218%27 Oct →
nuke7–13-0.087%27 Oct →
dust213–90.0217%27 Oct →
nuke13–6-0.0124%27 Oct →
vertigo13–7-0.018%26 Oct →
inferno4–13-0.0822%26 Oct →
dust213–5-0.0111%26 Oct →
ancient13–40.0620%26 Oct →
dust28–9-0.0327%26 Oct →
italy13–6-0.0714%25 Oct →
train13–6-0.0217%25 Oct →
vertigo6–13-0.0515%25 Oct →
anubis13–10.0521%25 Oct →
cache5–13-0.0825%25 Oct →
dust26–13-0.037%25 Oct →
inferno3–13-0.078%25 Oct →
mirage16–130.0817%25 Oct →
mirage1–13-0.0618%25 Oct →
nuke5–13-0.0617%25 Oct →
ancient12–12-0.087%25 Oct →
train11–13-0.0625%25 Oct →
dust24–13-0.0013%25 Oct →
anubis13–20.0616%24 Oct →
nuke8–13-0.038%24 Oct →
inferno13–20.0110%24 Oct →
ancient12–4-0.0423%24 Oct →
cache13–10-0.028%24 Oct →
train13–6-0.0411%24 Oct →
mirage12–12-0.1219%24 Oct →
dust25–13-0.0515%24 Oct →
vertigo13–40.0212%23 Oct →
anubis10–13-0.0815%23 Oct →
mirage13–7-0.0917%23 Oct →
dust212–120.0518%23 Oct →
ancient13–6-0.069%23 Oct →
cache8–13-0.0618%23 Oct →
nuke4–130.0522%22 Oct →
ancient13–70.0518%22 Oct →
cache13–10-0.0910%22 Oct →
italy12–12-0.0417%22 Oct →
ancient13–4-0.044%22 Oct →
ancient7–4-0.0215%22 Oct →
train13–11-0.0511%22 Oct →
inferno13–10-0.087%22 Oct →
overpass12–12-0.065%22 Oct →
anubis9–13-0.0612%22 Oct →
dust29–13-0.0417%22 Oct →
ancient6–13-0.049%22 Oct →
vertigo13–9-0.0518%22 Oct →
nuke13–6-0.0520%22 Oct →
cache5–13-0.077%22 Oct →
dust213–5-0.0516%22 Oct →
cache12–12-0.0516%22 Oct →
vertigo4–00.1123%22 Oct →
nuke7–13-0.0120%20 Oct →
nuke8–13-0.0217%20 Oct →
mirage7–13-0.0313%20 Oct →
vertigo5–13-0.0721%20 Oct →
nuke13–11-0.067%18 Oct →
ancient3–13-0.128%17 Oct →
ancient13–7-0.0422%17 Oct →
dust213–7-0.0221%17 Oct →
cache13–5-0.037%17 Oct →
nuke8–4-0.0415%16 Oct →
dust29–13-0.0324%16 Oct →
mirage13–20.0411%16 Oct →
inferno13–11-0.0516%16 Oct →
inferno13–40.0413%16 Oct →
inferno13–9-0.0217%16 Oct →
nuke13–9-0.0626%16 Oct →
inferno13–00.0219%16 Oct →
nuke13–6-0.028%16 Oct →
mirage13–2-0.009%13 Oct →
nuke11–13-0.0616%13 Oct →
train7–130.007%7 Oct →
train12–12-0.072%7 Oct →
ancient5–130.0216%4 Oct →
inferno13–50.0222%4 Oct →
dust29–13-0.0423%4 Oct →
dust213–80.0127%3 Oct →
nuke13–110.0313%3 Oct →
train4–13-0.0124%2 Oct →
vertigo2–10-0.0742%2 Oct →
poseidon6–9-0.0746%2 Oct →
vertigo2–9-0.1314%2 Oct →
inferno9–30.0325%2 Oct →
nuke9–10.1724%2 Oct →
vertigo6–13-0.1317%28 Sept →
vertigo5–13-0.1017%28 Sept →
office11–13-0.035%28 Sept →
mirage13–5-0.0421%27 Sept →
italy13–4-0.039%27 Sept →
italy13–8-0.098%27 Sept →
dust213–2-0.028%27 Sept →
office13–6-0.0417%27 Sept →
mirage13–60.0013%27 Sept →
inferno13–4-0.0319%27 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.