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Giga_Chad πŸ’ͺ

Giga_Chad πŸ’ͺ β€” CS2 Stats

ZA76561198850999386[U:1:890733658]Steam profile β†—βœ“ No bans

1,732Tracked matches45%Win rate2023Tracked since
CSDB Rating4.2 DevelopingHybrid Rifler
Premier CS Rating4,649Grey band Β· top ~80.3% of ranked players (population est.)
CSDB Leaderboard#30666 of 39843 tracked
Ladder ranks via Leetify

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CSDB.GGGiga_Chad πŸ’ͺPREMIER4,649 Β· Grey bandcsdb.gg/stats

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Performance scores

Aim64
Positioning42
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLLLLWWLWLW

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

Player DNA

Primary style: Hybrid Rifler β€” Aim-led profile without a single dominant tendency.

Aim6.4
Aggression5.0
Utility6.0
Positioning4.2
Opening Duels0.9

Style profile from tracked-match aggregates β€” 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 84% 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 β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Counter-strafing. Only 66% of shots are taken properly stopped β€” moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.4
Positioning4.2
Utility6.0
Mechanics3.6
Opening Duels0.9
Win Impact3.3

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (Γ—0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01βˆ’0.01
first β…“ avg 0.02 β†’ last β…“ avg 0.01
Reaction time540msβˆ’49ms
first β…“ avg 589ms β†’ last β…“ avg 540ms
Headshot accuracy11.2%+0.3%
first β…“ avg 10.9% β†’ last β…“ avg 11.2%

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

0.23Best rating β€” anubis 16–13
13–1Biggest win β€” nuke
5Longest win streak
L4Current streak
9–7In matches decided by ≀2 rounds
18Overtime games

Map breakdown

ancientBest map Β· 46% over 13cacheWeakest map Β· 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC229–1341%0.02
infernoC208–1240%0.01
mirageB209–1145%0.01
dust2C167–944%-0.01
ancientB136–746%0.01
cacheD62–433%0.00
anubisβ€”32–167%0.07

Across the last 100 tracked matches.

Skill profile

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

11.1%Headshot accuracy
37.1%Accuracy (enemy spotted)
40.2%Spray accuracy
66.1%Counter-strafing
9.3Β°Preaim
527msReaction time
30.5%T opening success
36.6%CT opening success
0.53Enemies flashed / flash
6.6%Flash assists
13.64HE damage / grenade
9.80Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 β€” usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.1367% β€” below the 15% mark we flag

    Aim Training β†’
  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 30.4968% β€” below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 6 tracked games β€” your weakest map with enough games to be worth reading into.

Cache callouts & strategy β†’

Recent matches

MapScoreRatingHS%Date
ancient10–130.017%28 Aug β†’
cache3–13-0.0311%28 Aug β†’
nuke7–13-0.0120%28 Aug β†’
inferno10–130.0316%28 Aug β†’
inferno13–50.0814%27 Aug β†’
mirage13–30.0211%27 Aug β†’
nuke6–13-0.0112%27 Aug β†’
inferno13–10-0.0014%21 Aug β†’
mirage7–130.023%21 Aug β†’
nuke13–110.0619%19 Aug β†’
cache13–100.0514%19 Aug β†’
mirage13–8-0.0316%19 Aug β†’
dust213–10-0.066%19 Aug β†’
ancient12–160.0710%16 Aug β†’
nuke9–13-0.024%16 Aug β†’
dust212–16-0.0611%14 Aug β†’
dust213–9-0.022%14 Aug β†’
dust210–130.0313%14 Aug β†’
ancient13–40.037%14 Aug β†’
nuke7–130.0413%14 Aug β†’
nuke4–130.0110%12 Aug β†’
nuke11–130.0511%12 Aug β†’
mirage16–140.036%6 Aug β†’
ancient11–130.057%31 Jul β†’
inferno13–30.1112%31 Jul β†’
dust213–110.0011%29 Jul β†’
dust215–15-0.0417%29 Jul β†’
dust213–16-0.047%28 Jul β†’
inferno13–80.0223%24 Jul β†’
nuke7–13-0.009%24 Jul β†’
inferno15–15-0.025%24 Jul β†’
cache5–13-0.0714%23 Jul β†’
mirage6–13-0.0115%23 Jul β†’
mirage13–50.0213%16 Jul β†’
cache8–13-0.017%16 Jul β†’
mirage6–130.0117%16 Jul β†’
dust213–70.0612%14 Jul β†’
inferno13–8-0.0411%14 Jul β†’
inferno13–16-0.0110%14 Jul β†’
cache10–130.1018%14 Jul β†’
mirage8–130.0413%14 Jul β†’
cache13–6-0.0111%8 Jul β†’
inferno13–7-0.085%3 Jul β†’
mirage10–130.047%2 Jul β†’
mirage8–13-0.0018%2 Jul β†’
inferno11–13-0.0512%30 Jun β†’
nuke10–130.0315%29 Jun β†’
nuke10–13-0.0813%26 Jun β†’
dust23–130.0117%26 Jun β†’
dust23–13-0.0311%24 Jun β†’
nuke14–16-0.047%24 Jun β†’
inferno11–130.0112%23 Jun β†’
anubis5–13-0.0112%23 Jun β†’
ancient13–90.0320%23 Jun β†’
mirage16–14-0.0115%23 Jun β†’
anubis13–110.009%23 Jun β†’
nuke16–120.057%23 Jun β†’
dust213–100.059%20 Jun β†’
inferno8–130.0121%19 Jun β†’
mirage16–14-0.028%19 Jun β†’
inferno13–90.0713%19 Jun β†’
dust212–16-0.015%18 Jun β†’
mirage3–130.0214%18 Jun β†’
nuke12–16-0.029%18 Jun β†’
nuke13–110.0614%15 Jun β†’
ancient4–13-0.059%15 Jun β†’
nuke6–13-0.052%13 Jun β†’
nuke13–10-0.019%13 Jun β†’
inferno5–13-0.0514%13 Jun β†’
ancient10–13-0.016%12 Jun β†’
inferno13–30.108%12 Jun β†’
nuke13–30.1413%12 Jun β†’
inferno2–13-0.0211%12 Jun β†’
dust213–7-0.0210%11 Jun β†’
inferno11–130.0110%10 Jun β†’
ancient13–20.0512%10 Jun β†’
dust213–16-0.025%10 Jun β†’
anubis16–130.239%9 Jun β†’
nuke13–10.0714%9 Jun β†’
mirage8–130.077%9 Jun β†’
ancient13–100.015%9 Jun β†’
ancient13–90.049%9 Jun β†’
nuke16–130.0817%9 Jun β†’
inferno8–130.059%8 Jun β†’
mirage16–14-0.038%8 Jun β†’
mirage9–13-0.0515%4 Jun β†’
inferno1–13-0.0331%4 Jun β†’
nuke13–70.029%4 Jun β†’
nuke10–130.0214%4 Jun β†’
ancient13–5-0.046%28 May β†’
mirage11–130.0415%28 May β†’
dust25–13-0.036%28 May β†’
dust213–7-0.049%28 May β†’
nuke13–90.0515%25 May β†’
mirage8–130.0110%25 May β†’
mirage13–110.019%25 May β†’
inferno15–150.0015%22 May β†’
mirage13–70.0211%22 May β†’
ancient7–130.009%19 May β†’
ancient1–13-0.0913%19 May β†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’

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