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Nando

Nando — CS2 Stats

US76561198067726966[U:1:107461238]Steam profile ↗✓ No bans

683Tracked matches46%Win rate2020Tracked since
CSDB Rating3.8 Learning
WingmanLegendary Eagle
Ladder ranks via Leetify

Performance scores

Aim34
Positioning42
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLLWWLWWTLW

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

Player DNA

Aim3.4
Aggression1.9
Utility5.8
Positioning4.2
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: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 35% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 654ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.4
Positioning4.2
Utility5.8
Mechanics3.9
Opening Duels0.6
Win Impact3.8

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time660ms+2ms
first ⅓ avg 658ms → last ⅓ avg 660ms
Headshot accuracy12.5%+0.1%
first ⅓ avg 12.4% → last ⅓ avg 12.5%

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 — nuke 13–5
13–3Biggest win — nuke
6Longest win streak
L2Current streak
6–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 67% over 18dust2Weakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB3416–1847%-0.02
nukeA1911–858%-0.01
ancientS1812–667%-0.01
overpassA106–460%-0.01
dust2D60–60%-0.03
mirageD51–420%-0.03
cache—31–233%-0.03
anubis—31–233%-0.01
train—21–150%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

12.5%Headshot accuracy
33.1%Accuracy (enemy spotted)
36.9%Spray accuracy
67.7%Counter-strafing
12.8°Preaim
654msReaction time
19.2%T opening success
34.6%CT opening success
0.50Enemies flashed / flash
5.1%Flash assists
8.23HE damage / grenade
9.65Flashes / 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 12.8134° — above the 12° mark we flag

    Aim Training →
  2. 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 12.5017% — below the 15% mark we flag

    Aim Training →
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.

0% win rate across 6 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
mirage9–13-0.0513%22 Aug →
inferno11–13-0.046%15 Aug →
mirage13–11-0.0013%15 Aug →
ancient13–70.024%13 Aug →
cache5–13-0.0517%13 Aug →
cache13–9-0.045%13 Aug →
inferno10–30.0322%13 Aug →
inferno15–15-0.0314%10 Aug →
ancient11–13-0.056%10 Aug →
nuke13–10-0.0811%10 Aug →
inferno7–13-0.0216%10 Aug →
mirage6–13-0.106%10 Aug →
nuke13–70.0227%9 Aug →
ancient13–11-0.0014%9 Aug →
ancient13–60.0415%9 Aug →
nuke6–13-0.0016%24 Jun →
nuke13–7-0.0415%24 Jun →
nuke9–13-0.039%24 Jun →
ancient13–10-0.0114%24 Jun →
nuke13–70.0412%28 May →
inferno13–70.0623%28 May →
anubis8–13-0.007%28 May →
inferno2–13-0.049%28 May →
inferno12–12-0.077%28 May →
nuke7–130.0016%26 May →
inferno5–13-0.0116%26 May →
overpass13–110.0013%13 May →
nuke11–130.0117%13 May →
ancient9–130.0315%13 May →
overpass8–13-0.044%13 May →
ancient10–13-0.0113%7 May →
inferno5–13-0.0011%7 May →
cache6–13-0.017%7 May →
overpass13–60.0411%12 Mar →
inferno13–50.0420%12 Mar →
anubis7–13-0.0116%12 Mar →
inferno13–6-0.090%12 Mar →
ancient13–110.0210%26 Feb →
inferno13–5-0.029%26 Feb →
overpass13–100.0016%26 Feb →
dust27–13-0.0618%26 Feb →
nuke4–13-0.017%13 Feb →
inferno4–13-0.088%13 Feb →
inferno10–13-0.0215%13 Feb →
inferno13–90.029%13 Feb →
ancient13–10-0.034%13 Feb →
inferno7–13-0.0818%13 Feb →
nuke8–1-0.040%13 Feb →
ancient13–10-0.065%7 Feb →
dust23–13-0.0217%5 Feb →
ancient13–10-0.0114%5 Feb →
mirage4–13-0.008%5 Feb →
anubis13–7-0.0210%5 Feb →
inferno13–80.0013%5 Feb →
nuke13–50.1213%5 Feb →
inferno10–130.018%5 Feb →
nuke13–6-0.0511%28 Jan →
inferno9–13-0.069%28 Jan →
inferno13–90.013%28 Jan →
dust26–13-0.0410%24 Jan →
inferno5–13-0.029%24 Jan →
ancient3–13-0.067%24 Jan →
overpass11–13-0.0115%22 Jan →
inferno13–40.0223%22 Jan →
dust25–130.024%22 Jan →
nuke13–90.0411%22 Jan →
mirage6–13-0.0119%22 Jan →
nuke5–13-0.0316%21 Jan →
dust211–13-0.0223%21 Jan →
inferno12–12-0.0016%21 Jan →
train10–13-0.037%21 Jan →
nuke12–5-0.0217%18 Jan →
inferno16–120.0610%18 Jan →
overpass10–13-0.077%18 Jan →
inferno10–13-0.004%10 Jan →
dust211–13-0.057%8 Jan →
ancient13–11-0.045%8 Jan →
nuke13–30.0622%8 Jan →
train13–6-0.0114%7 Jan →
nuke13–60.0116%7 Jan →
inferno13–9-0.0311%7 Jan →
ancient13–100.0117%7 Jan →
inferno11–13-0.025%31 Dec →
inferno13–110.012%31 Dec →
inferno13–10-0.0515%31 Dec →
inferno6–13-0.0924%31 Dec →
ancient13–90.0117%31 Dec →
ancient13–60.037%31 Dec →
overpass9–13-0.0614%23 Dec →
ancient11–13-0.0011%23 Dec →
inferno13–50.0521%23 Dec →
nuke11–13-0.0512%23 Dec →
overpass13–40.0113%23 Dec →
nuke6–13-0.0512%18 Dec →
ancient6–13-0.013%18 Dec →
inferno13–7-0.068%18 Dec →
overpass13–5-0.0213%18 Dec →
inferno12–16-0.049%18 Dec →
overpass13–50.0411%18 Dec →
inferno13–10-0.0321%12 Dec →

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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