GiggaTung98

GiggaTung98 — CS2 Stats

76561199068364283[U:1:1108098555]Steam profile ↗✓ No bans

412Tracked matches48%Win rate2022Tracked since
424Hours in CS2Hrs last 2 wks
CSDB Rating5.5 SolidClutch Specialist
Premier CS Rating12,553Blue band · top ~41.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,553 +960 25 May – 31 Oct · 25 days played
9,74812,635peak 12,63525 May31 Oct
12,703Peak Premier in tracked matches
41Days played since 2026-05-25

Premier CS Rating

  • 82 below peak (12,635)
  • Next: Purple band at 15,000 — 2,447 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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 rate32.3%42.0%44.4%12.1% short
Shot accuracy1.6%9.6%11.9%10.2% short
Kill/death ratio1.050.981.03above
Match win rate46.6%43.8%45.2%above

This profile matches the typical Purple band player on 2 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.

Share this profile

CSDB.GGGiggaTung98PREMIER12,553 · Blue bandcsdb.gg/stats

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Performance scores

Aim71
Positioning56
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWWWLWLWLWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −0.1pp headshot accuracy · −1ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 542ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 538ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 538ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1 against its own average).

Aim7.1
Utility4.2
Positioning5.6
Opening Duels4.1
Clutch6.0

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.

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

m0NESY

Plays most like m0NESY 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 55% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 553ms 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

Aim7.1
Positioning5.6
Utility4.2
Mechanics7.4
Opening Duels3.7
Win Impact4.4

Composite 5.5/10 (Solid), 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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time555ms−104ms
first ⅓ avg 659ms → last ⅓ avg 555ms
Headshot accuracy11.5%−0.0%
first ⅓ avg 11.5% → last ⅓ avg 11.5%

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.

Personal bests

0.10Best match rating · 13–3 · mirage, 3 Sept →
23%Best headshot accuracy · 13–7 · nuke, 1 Jun →
430msFastest reaction time · 16–14 · inferno, 17 Aug →
13–2Biggest win · vertigo, 13 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
9–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 60% over 30cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA3018–1260%0.01
ancientB178–947%0.00
dust2C177–1041%-0.01
nukeB105–550%0.01
infernoD72–529%-0.01
cacheD71–614%0.01
anubisD62–433%-0.02
vertigo—31–233%-0.04
overpass—20–20%-0.01
train—10–10%-0.02

Across the last 100 tracked matches.

Lifetime stats

9,187Lifetime kills
1.05K/D · Top 50% of Blue band
558Matches
46.6%Match win rate · Top 50% of Blue band
32.3%Headshot %
1.6%Shot accuracy
1,176MVPs
207Hours (in match)
640Bombs planted
124Bombs defused

Most-used weapons

Lifetime map wins

1,536dust2
789nuke
418inferno
190vertigo
162train
16cbble
12office
7lake

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

Faceit stats

Combat

19Matches
63%Win rate
1.15Avg K/D
80.1ADR
26%Headshot %

Clutches & streaks

50%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient683%1.2815.0
Mirage650%1.2715.0
Inferno367%1.3618.0
Anubis20%0.6112.0
Dust22100%0.649.5

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.

11.0%Headshot accuracy
35.7%Accuracy (enemy spotted)
38.3%Spray accuracy
83.4%Counter-strafing
9.3°Preaim
553msReaction time
34.9%T opening success
54.8%CT opening success
0.60Enemies flashed / flash
6.3%Flash assists
7.12HE damage / grenade
10.01Flashes / 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 10.9828% — 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 34.9327% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–30.0213%31 Oct →
ancient13–50.0410%18 Oct →
dust213–11-0.029%18 Oct →
dust23–13-0.0522%18 Oct →
ancient16–120.084%13 Sept →
mirage10–13-0.006%12 Sept →
ancient13–80.0810%11 Sept →
dust211–13-0.0313%10 Sept →
mirage13–110.0714%8 Sept →
nuke6–130.028%7 Sept →
anubis7–13-0.045%7 Sept →
ancient13–5-0.005%7 Sept →
mirage13–30.1013%3 Sept →
dust25–130.0416%3 Sept →
anubis9–130.0113%2 Sept →
mirage15–15-0.087%2 Sept →
ancient6–13-0.0310%2 Sept →
nuke3–13-0.0314%2 Sept →
dust213–100.0118%2 Sept →
mirage6–13-0.0110%2 Sept →
nuke13–9-0.0216%2 Sept →
dust216–140.0412%2 Sept →
inferno7–13-0.0210%1 Sept →
dust213–6-0.0720%1 Sept →
vertigo9–13-0.017%1 Sept →
nuke13–90.037%31 Aug →
mirage6–7-0.047%31 Aug →
ancient3–9-0.115%31 Aug →
ancient10–13-0.0314%29 Aug →
anubis9–130.0014%28 Aug →
cache5–130.0214%27 Aug →
mirage13–7-0.0712%27 Aug →
mirage4–0-0.0221%27 Aug →
mirage13–90.0410%27 Aug →
mirage13–70.0322%27 Aug →
mirage13–80.0410%26 Aug →
anubis13–7-0.0813%26 Aug →
inferno8–13-0.029%25 Aug →
dust27–13-0.044%25 Aug →
mirage9–130.0513%24 Aug →
ancient9–13-0.019%24 Aug →
nuke13–50.0813%24 Aug →
ancient9–130.0316%20 Aug →
cache10–13-0.048%20 Aug →
nuke13–30.0414%19 Aug →
inferno16–14-0.034%17 Aug →
dust29–13-0.057%13 Aug →
inferno13–30.067%13 Aug →
cache12–120.016%13 Aug →
vertigo13–2-0.0110%13 Aug →
mirage8–130.0612%13 Aug →
ancient5–13-0.016%6 Aug →
mirage5–130.0515%28 Jul →
mirage15–150.0212%23 Jul →
cache3–130.0310%22 Jul →
mirage16–13-0.038%22 Jul →
inferno6–13-0.0319%22 Jul →
dust29–13-0.018%22 Jul →
mirage13–11-0.0110%22 Jul →
ancient15–15-0.048%22 Jul →
nuke10–13-0.0211%21 Jul →
dust27–13-0.0317%21 Jul →
anubis13–9-0.028%21 Jul →
ancient7–130.077%20 Jul →
mirage13–50.019%20 Jul →
mirage13–9-0.0213%15 Jul →
mirage6–130.0019%12 Jul →
mirage13–90.0410%5 Jul →
dust25–130.0119%5 Jul →
ancient13–80.029%30 Jun →
inferno1–13-0.0411%11 Jun →
vertigo2–13-0.0912%11 Jun →
nuke4–13-0.0312%11 Jun →
train3–13-0.0213%11 Jun →
dust213–110.0014%9 Jun →
nuke11–130.0013%9 Jun →
cache4–130.029%9 Jun →
cache13–10-0.016%9 Jun →
ancient10–13-0.016%4 Jun →
mirage0–60.0322%3 Jun →
overpass10–13-0.0317%3 Jun →
dust24–13-0.0610%3 Jun →
inferno6–13-0.039%3 Jun →
ancient13–10-0.0211%3 Jun →
ancient16–12-0.059%2 Jun →
dust213–50.0210%2 Jun →
mirage6–13-0.075%2 Jun →
mirage13–10-0.0113%2 Jun →
overpass10–130.0111%2 Jun →
mirage13–11-0.0115%1 Jun →
nuke13–70.0323%1 Jun →
mirage13–20.003%1 Jun →
dust214–160.0710%28 May →
anubis8–13-0.0215%26 May →
cache9–130.0515%26 May →
dust216–120.0511%26 May →
mirage11–130.0312%26 May →
mirage10–13-0.027%26 May →
ancient13–110.047%26 May →
mirage16–120.0215%25 May →

Match data via Leetify.

Recent teammates

Milestones

100 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.