✘Giga✘

✘Giga✘ — CS2 Stats

US76561198956682108[U:1:996416380]Steam profile ↗✓ No bans

3,573Tracked matches48%Win rate2023Tracked since
1,475Hours in CS
CSDB Rating4.7 DevelopingHybrid Rifler
Premier CS Rating10,701Blue band · top ~51.2% of ranked players (population est.)
CSDB Leaderboard#19609 of 27183 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 rate52.8%41.7%44.1%above
Shot accuracy0.7%8.8%11.4%10.7% short
Kill/death ratio1.030.971.03meets
Match win rate44.5%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.

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CSDB.GG✘Giga✘PREMIER10,701 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning47
Utility29

0–100 skill scores via Leetify.

Recent form

COLD47485Last 10047%Win rateWWTLLLLLLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression5.4
Utility2.9
Positioning4.7
Opening Duels2.2
Clutch3.6

Strong CT-side openerLimited utility dependence

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 82% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 55% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim6.1
Positioning4.7
Utility2.9
Mechanics6.6
Opening Duels3.1
Win Impact4.4

Composite 4.7/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time596ms−37ms
first ⅓ avg 633ms → last ⅓ avg 596ms
Headshot accuracy12.0%−0.0%
first ⅓ avg 12.0% → last ⅓ avg 12.0%

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

0.15Best rating — mirage 13–3
131Biggest win — dust2
5Longest win streak
W2Current streak
85In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 79% over 14infernoWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
infernoD1841422%-0.03
nukeC1661038%-0.02
mirageA159660%0.00
dust2S1511473%0.01
ancientS1411379%0.01
cacheD113827%-0.00
anubisD93633%-0.02
debris2020%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,579Lifetime kills
1.03K/D · Top 50% of Blue band
3,902Matches
44.5%Match win rate · Top 50% of Blue band
52.8%Headshot % · Top 25% of Blue band
0.7%Shot accuracy
7,745MVPs
1,475Hours (in match)
5,046Bombs planted
830Bombs defused

Most-used weapons

Lifetime map wins

5,871nuke
5,747inferno
4,249dust2
2,991vertigo
1,063train
255office
12italy
10cbble

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

Faceit stats

Combat

252Matches
47%Win rate
0.85Avg K/D
76.9ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7647%0.8213.0
Inferno4042%0.8414.2
Dust23139%0.7511.6
Nuke2955%0.8813.2
Anubis2236%0.8913.9
Ancient1771%1.0515.4
Vertigo1729%0.8213.0
Overpass1362%0.8514.5

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.

11.4%Headshot accuracy
36.1%Accuracy (enemy spotted)
33.4%Spray accuracy
79.7%Counter-strafing
9.4°Preaim
598msReaction time
22.5%T opening success
54.7%CT opening success
0.56Enemies flashed / flash
4.2%Flash assists
3.74HE damage / grenade
3.01Flashes / 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 11.405% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0061 — below the 4 mark we flag

    Grenade Lineups
  3. 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 22.5381% — below the 40% mark we flag

Spend your practice time on Inferno

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

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–60.009%29 Aug
anubis13–11-0.045%29 Aug
inferno8–80.1212%29 Aug
nuke10–13-0.015%22 Aug
ancient9–13-0.0420%22 Aug
dust211–13-0.089%22 Aug
inferno7–9-0.0218%22 Aug
inferno2–9-0.097%22 Aug
inferno4–9-0.105%21 Aug
mirage13–70.0225%20 Aug
nuke7–13-0.0418%20 Aug
ancient13–9-0.0015%20 Aug
dust213–70.0913%19 Aug
mirage9–13-0.0316%19 Aug
cache7–130.0414%18 Aug
nuke13–16-0.029%18 Aug
mirage6–13-0.0714%17 Aug
nuke5–13-0.063%17 Aug
cache8–13-0.0412%17 Aug
mirage6–13-0.076%15 Aug
dust213–9-0.1013%15 Aug
inferno9–70.0822%15 Aug
mirage15–15-0.018%14 Aug
ancient13–80.0310%14 Aug
nuke13–70.0310%14 Aug
mirage13–60.0313%14 Aug
nuke13–10-0.0410%13 Aug
nuke8–13-0.028%13 Aug
ancient13–100.1216%13 Aug
nuke11–13-0.0013%12 Aug
anubis8–130.0011%12 Aug
ancient16–130.0214%12 Aug
dust210–13-0.0213%11 Aug
mirage13–5-0.013%11 Aug
anubis13–11-0.086%11 Aug
inferno1–9-0.260%10 Aug
anubis8–130.029%10 Aug
dust213–100.0515%10 Aug
mirage13–30.1518%7 Aug
anubis10–13-0.0316%7 Aug
nuke13–40.0314%6 Aug
ancient13–110.0610%5 Aug
dust214–16-0.0414%5 Aug
debris1–9-0.1811%5 Aug
nuke13–100.0721%4 Aug
dust213–7-0.0214%4 Aug
inferno6–13-0.0511%4 Aug
ancient13–30.0618%3 Aug
dust213–110.0316%3 Aug
nuke4–13-0.0120%2 Aug
dust213–8-0.004%2 Aug
ancient13–80.088%2 Aug
cache8–130.0114%1 Aug
inferno13–60.0911%1 Aug
inferno6–13-0.0615%1 Aug
ancient13–5-0.0329%1 Aug
inferno7–9-0.0719%1 Aug
cache6–13-0.047%30 Jul
cache15–15-0.0013%29 Jul
nuke3–13-0.0319%29 Jul
ancient13–110.0511%29 Jul
cache16–120.0411%28 Jul
anubis6–13-0.1018%28 Jul
mirage13–9-0.016%28 Jul
dust29–13-0.0521%28 Jul
anubis6–130.029%27 Jul
dust213–100.0724%27 Jul
cache13–60.0112%27 Jul
anubis7–13-0.0116%26 Jul
ancient13–11-0.0415%26 Jul
inferno5–9-0.0119%26 Jul
ancient13–4-0.0419%26 Jul
mirage13–6-0.0012%26 Jul
mirage7–130.0213%26 Jul
ancient15–15-0.0313%26 Jul
inferno5–90.0418%26 Jul
mirage13–16-0.0113%25 Jul
cache4–13-0.036%25 Jul
inferno3–13-0.0514%24 Jul
cache4–13-0.0811%24 Jul
inferno5–9-0.0411%23 Jul
anubis16–140.056%23 Jul
inferno10–13-0.0414%23 Jul
nuke2–9-0.1119%23 Jul
nuke5–10.0319%23 Jul
inferno9–4-0.0112%23 Jul
nuke8–13-0.029%22 Jul
inferno8–8-0.077%22 Jul
inferno9–1-0.030%22 Jul
dust213–100.0914%20 Jul
cache13–90.0912%20 Jul
dust213–5-0.0310%20 Jul
dust213–10.0717%20 Jul
cache0–13-0.026%18 Jul
nuke13–10-0.0310%18 Jul
ancient8–13-0.059%18 Jul
mirage13–50.0112%18 Jul
debris6–90.059%18 Jul
mirage13–100.0413%17 Jul
dust213–50.019%17 Jul

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 →