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iGo. Flying — CS2 Stats

76561198135726339[U:1:175460611]✓ No bans

921Tracked matches52%Win rate2020Tracked since
CSDB Rating5.6 SolidPassive Rifler
Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#12660 of 31348 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGiGo. FlyingFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning44
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateLWTWWLWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.4
Aggression3.9
Utility5.5
Positioning4.4
Opening Duels0.7
Clutch5.0

Strong CT-side opener

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 85% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 45% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim6.4
Positioning4.4
Utility5.5
Mechanics7.6
Opening Duels1.9
Win Impact5.6

Composite 5.6/10 (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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time624ms+1ms
first ⅓ avg 623ms → last ⅓ avg 624ms
Headshot accuracy13.3%−1.9%
first ⅓ avg 15.2% → last ⅓ avg 13.3%

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.

Highlights

0.16Best rating — dust2 7–13
13–1Biggest win — inferno
6Longest win streak
9–5In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 60% over 10anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2917–1259%0.01
nukeC166–1038%0.01
ancientD155–1033%-0.01
mirageB115–645%-0.02
infernoA106–460%-0.00
overpassC73–443%0.01
anubisD51–420%-0.01
cache—42–250%0.01
vertigo—10–10%-0.09
eldorado—11–0100%-0.02
poseidon—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,301Matches
51%Win rate
1.25Avg K/D
86.6ADR
37%Headshot %

Clutches & streaks

45%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5652%1.1817.6
Dust24957%1.2116.9
Nuke3751%1.2117.9
Ancient3432%1.1015.7
Inferno2138%1.1917.6
Anubis1136%1.2621.1
Vertigo729%0.9717.4
Overpass425%1.1420.3

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.

13.7%Headshot accuracy
34.6%Accuracy (enemy spotted)
34.1%Spray accuracy
84.1%Counter-strafing
9.3°Preaim
616msReaction time
20.8%T opening success
45.0%CT opening success
0.69Enemies flashed / flash
8.1%Flash assists
10.37HE damage / grenade
6.49Flashes / 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 13.6809% — 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 20.7533% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust214–16-0.034%25 Aug →
ancient13–8-0.0415%14 Aug →
nuke15–150.0110%14 Aug →
nuke13–60.1113%13 Aug →
dust213–10-0.015%13 Aug →
dust25–13-0.0321%23 Jul →
dust216–140.0113%22 Jul →
mirage10–13-0.069%22 Jul →
dust216–13-0.0420%22 Jul →
dust23–4-0.077%22 Jul →
dust213–60.0620%22 Jul →
dust213–10-0.0114%22 Jul →
mirage13–6-0.0325%21 Jul →
dust28–130.0022%21 Jul →
ancient11–13-0.0919%21 Jul →
nuke10–13-0.0216%21 Jul →
dust213–110.0515%21 Jul →
dust28–13-0.039%20 Jul →
ancient1–13-0.072%20 Jul →
anubis3–13-0.077%17 Jul →
vertigo6–9-0.0911%16 Jul →
ancient13–100.0110%16 Jul →
nuke7–13-0.0213%16 Jul →
dust213–110.0519%13 Jul →
eldorado9–7-0.026%13 Jul →
inferno2–13-0.0611%13 Jul →
mirage10–13-0.0619%13 Jul →
cache3–13-0.0616%12 Jul →
dust22–13-0.015%12 Jul →
dust213–4-0.0212%12 Jul →
dust213–40.0514%9 Jul →
cache13–50.0220%9 Jul →
inferno7–13-0.0718%8 Jul →
nuke13–80.082%8 Jul →
nuke10–130.019%18 Jun →
anubis8–13-0.0110%17 Jun →
mirage15–15-0.0310%17 Jun →
mirage5–13-0.0514%17 Jun →
overpass10–13-0.016%16 Jun →
ancient7–13-0.049%16 Jun →
inferno13–1-0.015%16 Jun →
mirage16–13-0.0212%15 Jun →
mirage10–13-0.0412%15 Jun →
cache13–30.0714%14 Jun →
mirage3–13-0.0819%14 Jun →
overpass4–13-0.0214%13 Jun →
ancient11–130.0110%12 Jun →
dust213–5-0.0112%12 Jun →
ancient13–8-0.0115%9 Jun →
dust213–10.0515%9 Jun →
nuke13–6-0.013%9 Jun →
inferno11–13-0.0215%8 Jun →
dust25–13-0.0419%8 Jun →
dust28–13-0.0310%3 Jun →
dust213–10-0.0114%2 Jun →
mirage16–140.0212%2 Jun →
nuke13–40.0314%2 Jun →
overpass13–20.0421%1 Jun →
inferno13–70.0217%31 May →
ancient13–90.0511%30 May →
dust213–16-0.0111%30 May →
mirage13–50.0912%29 May →
inferno13–10-0.0113%29 May →
dust213–50.089%29 May →
dust213–60.0316%29 May →
overpass13–100.0611%29 May →
ancient7–13-0.0115%28 May →
overpass5–130.0122%28 May →
inferno16–140.0410%27 May →
dust210–130.0014%27 May →
dust23–13-0.0215%27 May →
mirage13–11-0.0023%27 May →
overpass16–130.0525%26 May →
inferno7–13-0.0119%26 May →
anubis15–150.0111%25 May →
dust26–130.019%25 May →
nuke9–130.0513%22 May →
cache5–130.0014%21 May →
ancient10–13-0.0316%20 May →
nuke8–130.0214%20 May →
dust213–110.0619%20 May →
nuke7–13-0.0620%20 May →
nuke8–13-0.0716%11 May →
dust213–100.0515%11 May →
anubis8–130.0127%29 Apr →
ancient15–15-0.0112%29 Apr →
nuke13–4-0.034%23 Apr →
ancient4–13-0.0216%23 Apr →
anubis13–20.0215%22 Apr →
ancient6–130.0320%22 Apr →
nuke15–15-0.016%22 Apr →
inferno13–50.0617%22 Apr →
dust27–130.1614%21 Apr →
ancient16–130.0412%21 Apr →
nuke6–130.0619%21 Apr →
ancient14–16-0.0115%14 Apr →
inferno13–90.0415%14 Apr →
overpass7–13-0.0512%14 Apr →
poseidon4–9-0.0215%14 Apr →
nuke13–50.048%11 Apr →

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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