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Gordao — CS2 Stats

76561198300069224[U:1:339803496]

264Tracked matches41%Win rate2023Tracked since
934Hours in CS
CSDB Rating3.2 Learning
FaceitLevel 6 · 1,315 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), 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 6 medianLevel 7 medianvs Level 7
Headshot rate28.8%44.9%46.2%17.4% short
Shot accuracy12.9%11.8%12.5%above
Kill/death ratio0.891.041.060.17 short
Match win rate35.6%45.3%45.9%10.2% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGordaoFACEITLevel 6 · 1,315 ELOSTANDINGTop 54.0% of rankedcsdb.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

Aim36
Positioning41
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateLWLWWWLWLW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim3.6
Aggression4.4
Utility5.9
Positioning4.1
Opening Duels0.3
Clutch4.0

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 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6
Positioning4.1
Utility5.9
Mechanics3.1
Opening Duels0.7
Win Impact2.1

Composite 3.2/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time637ms−5ms
first ⅓ avg 642ms → last ⅓ avg 637ms
Headshot accuracy14.2%+1.5%
first ⅓ avg 12.8% → last ⅓ avg 14.2%

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

0.37Best rating — inferno 9–1
13–0Biggest win — mirage
6Longest win streak
5–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 100% over 7nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC3917–2244%0.00
infernoA2816–1257%0.01
dust2A106–460%-0.01
overpassS77–0100%0.04
trainB63–350%0.01
nukeC52–340%-0.06
ancient—43–175%-0.03
vertigo—11–0100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,352Lifetime kills
0.89K/D
2,396Matches
35.6%Match win rate
28.8%Headshot %
12.9%Shot accuracy · Top 50% of Level 6 players
4,284MVPs
934Hours (in match)
1,722Bombs planted
677Bombs defused

Most-used weapons

AK-478,950
M4A4 / M4A1-S5,606
AWP4,880
P2000 / USP-S2,363
Desert Eagle1,966
Glock-181,565
P901,544
UMP-451,311
Knife1,181
SSG 081,177

Lifetime map wins

2,934dust2
1,142inferno
379train
270nuke
143lake
120vertigo
103dust
100italy

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

Faceit stats

Combat

18Matches
44%Win rate
0.95Avg K/D
73.6ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
40%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1040%0.9412.8
Inferno367%1.2613.0
Nuke20%0.537.0
Dust2250%1.1418.0
Overpass1100%0.649.0

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.

14.1%Headshot accuracy
31.1%Accuracy (enemy spotted)
32.2%Spray accuracy
63.9%Counter-strafing
10.2°Preaim
643msReaction time
27.0%T opening success
35.4%CT opening success
0.65Enemies flashed / flash
5.4%Flash assists
4.65HE damage / grenade
14.32Flashes / 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 14.1472% — 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 27.0469% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–16-0.0612%13 Jul →
mirage13–11-0.029%10 Jul →
nuke11–13-0.0417%4 Jul →
mirage13–6-0.0618%4 Jul →
inferno13–3-0.027%4 Jul →
mirage13–70.0415%31 Dec →
mirage11–13-0.018%20 Dec →
vertigo13–60.0118%19 Dec →
mirage6–13-0.0219%18 Dec →
mirage13–40.0610%18 Dec →
mirage13–20.167%18 Dec →
mirage12–12-0.006%17 Dec →
mirage5–13-0.0624%15 Dec →
mirage7–13-0.0618%15 Dec →
mirage13–00.0918%15 Dec →
mirage16–130.018%14 Dec →
mirage7–13-0.0018%11 Dec →
mirage2–13-0.0312%29 Nov →
inferno9–50.0618%27 Nov →
dust23–13-0.0815%27 Nov →
mirage7–13-0.0115%27 Nov →
mirage12–16-0.0316%26 Nov →
train11–130.0117%26 Nov →
mirage5–13-0.077%25 Nov →
overpass16–13-0.0714%25 Nov →
dust213–90.0618%25 Nov →
mirage6–13-0.0012%23 Nov →
dust210–13-0.088%23 Nov →
dust213–11-0.0624%22 Nov →
inferno8–13-0.0323%21 Nov →
mirage11–130.0413%21 Nov →
train16–140.019%21 Nov →
nuke9–13-0.0217%20 Nov →
overpass13–5-0.0116%20 Nov →
mirage4–13-0.056%20 Nov →
mirage13–60.0211%20 Nov →
train8–13-0.0121%20 Nov →
mirage3–13-0.058%19 Nov →
nuke5–9-0.1018%19 Nov →
inferno9–30.2016%19 Nov →
mirage4–13-0.0325%19 Nov →
overpass13–8-0.034%19 Nov →
overpass13–100.0214%19 Nov →
inferno13–80.057%19 Nov →
ancient13–110.017%18 Nov →
inferno13–80.0215%18 Nov →
dust26–130.047%18 Nov →
inferno13–6-0.014%18 Nov →
mirage15–15-0.019%18 Nov →
mirage13–70.0421%18 Nov →
dust213–9-0.0312%18 Nov →
ancient5–13-0.0813%18 Nov →
mirage13–50.0025%18 Nov →
mirage13–50.0012%15 Nov →
ancient13–3-0.0114%15 Nov →
train6–130.039%14 Nov →
mirage13–4-0.0212%13 Nov →
mirage13–9-0.0116%13 Nov →
overpass13–70.0515%13 Nov →
inferno10–130.0219%13 Nov →
overpass13–20.1414%13 Nov →
mirage13–30.0520%12 Nov →
dust213–10.0918%12 Nov →
mirage6–130.009%12 Nov →
overpass9–30.1924%12 Nov →
inferno9–20.0617%12 Nov →
nuke13–8-0.0810%11 Nov →
mirage15–15-0.0318%11 Nov →
inferno9–40.0718%11 Nov →
inferno9–20.0710%11 Nov →
inferno9–6-0.0213%11 Nov →
inferno9–50.0915%11 Nov →
inferno9–70.008%10 Nov →
inferno9–40.0315%10 Nov →
inferno4–9-0.1211%10 Nov →
mirage13–20.1314%10 Nov →
ancient13–4-0.037%10 Nov →
nuke13–2-0.0417%10 Nov →
dust213–30.0411%10 Nov →
inferno1–9-0.1513%9 Nov →
inferno3–2-0.030%7 Nov →
mirage7–00.0529%7 Nov →
mirage13–50.0512%7 Nov →
dust213–30.0217%7 Nov →
inferno8–80.077%6 Nov →
inferno4–9-0.099%5 Nov →
inferno9–10.3713%5 Nov →
inferno9–40.105%5 Nov →
inferno12–120.0211%3 Nov →
train13–7-0.0112%1 Nov →
train13–40.0314%1 Nov →
dust26–9-0.078%31 Oct →
mirage11–13-0.018%31 Oct →
mirage1–6-0.0720%30 Oct →
inferno9–40.0023%30 Oct →
inferno8–8-0.0131%30 Oct →
mirage10–130.009%29 Oct →
inferno3–9-0.117%29 Oct →
inferno3–9-0.229%29 Oct →
inferno5–9-0.068%29 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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