GIGAmaster

GIGAmaster — CS2 Stats

LI76561197998607846[U:1:38342118]Steam profile ↗✓ No bans

1,826Tracked matches48%Win rate2020Tracked since
4,079Hours in CS28Hrs last 2 wks
CSDB Rating3.7 LearningSupport
Premier CS Rating12,984Blue band · top ~39.1% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+377Premier CS Rating · 12,607 → 12,984

Rating over time

Premier CS Rating: 12,984 +674 19 Sept – 31 Oct · 24 days played
12,31016,482peak 16,48219 Sept31 Oct
16,824Peak Premier in tracked matches
25Days played since 2026-09-19

Premier CS Rating

  • 3,498 below peak (16,482)
  • -3,267 over 30 days · declining
  • Next: Purple band at 15,000 — 2,016 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 rate44.8%42.0%44.4%meets
Shot accuracy12.3%9.6%11.9%above
Kill/death ratio1.020.981.03meets
Match win rate43.0%43.8%45.2%2.2% short

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

Widest gap: Match win rate. 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.

Share this profile

CSDB.GGGIGAmasterPREMIER12,984 · Blue bandcsdb.gg/stats

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Performance scores

Aim35
Positioning45
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWWLWLWLLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.1pp headshot accuracy · −37ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 635ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 624ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 642ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim3.5
Utility5.5
Positioning4.5
Opening Duels1.4
Clutch0.0

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 66% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 639ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.5
Positioning4.5
Utility5.5
Mechanics3.0
Opening Duels2.1
Win Impact4.4

Composite 3.7/10 (Learning), 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 time632ms+19ms
first ⅓ avg 613ms → last ⅓ avg 632ms
Headshot accuracy17.3%−1.7%
first ⅓ avg 19.0% → last ⅓ avg 17.3%

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.

Personal bests

0.09Best match rating · 13–8 · nuke, 21 Sept →
43%Best headshot accuracy · 6–13 · nuke, 20 Oct →
414msFastest reaction time · 9–13 · inferno, 5 Oct →
13–1Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–2In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 68% over 22anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoS2215–768%-0.01
dust2C208–1240%-0.02
ancientB158–753%-0.01
mirageD134–931%-0.02
nukeC104–640%0.01
anubisD71–614%-0.03
cacheD62–433%0.00
office—21–150%-0.02
overpass—22–0100%-0.01
boulder—22–0100%0.02
train—10–10%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,534Lifetime kills
1.02K/D · Top 50% of Blue band
5,851Matches
43.0%Match win rate
44.8%Headshot % · Top 50% of Blue band
12.3%Shot accuracy · Top 50% of Blue band
16,781MVPs
2,457Hours (in match)
9,827Bombs planted
2,773Bombs defused

Most-used weapons

SG 55321,144
AK-479,227
AUG6,279
Tec-95,787
Knife4,363
MP93,867
P903,416

Lifetime map wins

4,916dust2
4,824inferno
4,109nuke
1,167vertigo
908train
525office
202italy
167cbble

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

Faceit stats

Combat

4Matches
75%Win rate
0.96Avg K/D
71.1ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21100%0.9018.0
Ancient1100%1.6213.0

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.

18.0%Headshot accuracy
30.6%Accuracy (enemy spotted)
32.5%Spray accuracy
63.5%Counter-strafing
12.0°Preaim
639msReaction time
39.5%T opening success
37.7%CT opening success
0.43Enemies flashed / flash
6.1%Flash assists
9.56HE damage / grenade
4.02Flashes / 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 12.0054° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4301 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–7-0.0911%31 Oct →
anubis16–130.0623%31 Oct →
anubis10–13-0.0210%30 Oct →
inferno13–100.0328%30 Oct →
mirage2–130.0326%30 Oct →
inferno13–80.0220%30 Oct →
inferno10–130.0124%30 Oct →
office1–13-0.0413%30 Oct →
mirage5–13-0.0813%24 Oct →
anubis7–13-0.029%23 Oct →
mirage5–13-0.0619%23 Oct →
nuke13–6-0.0016%21 Oct →
mirage9–13-0.0320%21 Oct →
cache12–12-0.0230%21 Oct →
cache13–70.0629%21 Oct →
mirage4–13-0.0416%20 Oct →
nuke6–13-0.0343%20 Oct →
ancient13–7-0.0014%20 Oct →
anubis12–160.0118%20 Oct →
nuke6–00.0513%20 Oct →
inferno13–10-0.053%20 Oct →
office13–8-0.018%19 Oct →
overpass10–3-0.060%19 Oct →
ancient3–13-0.0725%19 Oct →
dust210–13-0.0319%18 Oct →
ancient11–130.0111%18 Oct →
dust25–13-0.0311%18 Oct →
inferno13–11-0.0618%18 Oct →
boulder13–11-0.0613%18 Oct →
boulder13–70.0921%18 Oct →
dust22–13-0.0317%16 Oct →
ancient9–130.0214%10 Oct →
dust21–13-0.0817%10 Oct →
dust27–13-0.0119%9 Oct →
mirage1–13-0.117%9 Oct →
inferno9–130.0513%9 Oct →
dust24–13-0.0721%9 Oct →
mirage13–5-0.0514%9 Oct →
dust213–6-0.0320%9 Oct →
dust213–10.038%9 Oct →
dust25–13-0.0029%7 Oct →
dust27–13-0.099%7 Oct →
mirage8–130.0413%7 Oct →
inferno13–70.0517%7 Oct →
dust27–13-0.048%7 Oct →
dust26–13-0.0118%7 Oct →
dust28–130.0213%7 Oct →
inferno9–13-0.0116%5 Oct →
inferno13–100.0029%5 Oct →
nuke7–130.0425%4 Oct →
ancient8–13-0.0218%4 Oct →
ancient13–9-0.019%4 Oct →
inferno13–80.0123%4 Oct →
cache8–130.0319%4 Oct →
inferno10–130.0024%4 Oct →
inferno13–11-0.0412%2 Oct →
ancient11–13-0.0216%2 Oct →
anubis3–13-0.0629%30 Sept →
mirage13–3-0.0112%30 Sept →
dust213–90.0221%29 Sept →
inferno7–13-0.0729%29 Sept →
nuke13–70.0613%28 Sept →
cache7–13-0.1027%28 Sept →
inferno16–13-0.0220%28 Sept →
ancient13–11-0.0323%27 Sept →
ancient13–11-0.0019%27 Sept →
train7–13-0.0821%26 Sept →
overpass13–20.0419%26 Sept →
nuke10–13-0.0223%26 Sept →
dust213–4-0.018%25 Sept →
inferno13–11-0.037%25 Sept →
ancient15–15-0.0215%25 Sept →
ancient9–13-0.0318%25 Sept →
ancient13–30.0113%25 Sept →
inferno2–13-0.1216%25 Sept →
inferno13–60.0324%25 Sept →
mirage13–90.0421%25 Sept →
inferno10–130.0528%25 Sept →
mirage16–130.0017%25 Sept →
mirage3–13-0.0634%24 Sept →
dust213–7-0.0339%23 Sept →
nuke8–13-0.0617%23 Sept →
inferno13–4-0.0712%23 Sept →
nuke9–130.0120%23 Sept →
dust213–9-0.0422%23 Sept →
inferno13–11-0.0718%23 Sept →
inferno13–70.028%23 Sept →
mirage7–130.0718%23 Sept →
cache13–40.0516%21 Sept →
nuke4–13-0.0531%21 Sept →
anubis15–15-0.0519%21 Sept →
cache4–130.0114%21 Sept →
anubis9–13-0.1423%21 Sept →
ancient13–90.0431%21 Sept →
dust216–14-0.0214%21 Sept →
dust213–90.0418%21 Sept →
nuke13–80.0922%21 Sept →
dust215–15-0.0513%21 Sept →
ancient13–70.0220%19 Sept →
inferno13–9-0.0310%19 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.