Giga Chav

Giga Chav — CS2 Stats

GB76561198070716263[U:1:110450535]Steam profile ↗✓ No bans

3,016Tracked matches69%Win rate2021Tracked since
CSDB Rating4.8 DevelopingSupport
Premier CS Rating5,006Light Blue band · top ~78.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (4 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: 5,006 -346 26 Aug – 28 Sept · 14 days played
3,7255,352peak 5,35226 Aug28 Sept
5,461Peak Premier in tracked matches
21Days played since 2026-08-26

Premier CS Rating

  • 346 below peak (5,352)
  • +641 over 30 days · improving
  • Next: Blue band at 10,000 — 4,994 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGGiga ChavFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER5,006 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning47
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLLWWLTWWTL

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · +3.0pp headshot accuracy · −6ms reaction

Win rate down 50pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 653ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 616ms

Last 20

  • 13–4–3 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 619ms

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 (+2.6 against its own average).

Aim4.8
Utility5.8
Positioning4.7
Opening Duels2.2
Clutch0.2

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 74% 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. 607ms 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

Aim4.8
Positioning4.7
Utility5.8
Mechanics5.4
Opening Duels2.2
Win Impact10.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time611ms+36ms
first ⅓ avg 575ms → last ⅓ avg 611ms
Headshot accuracy10.9%−0.7%
first ⅓ avg 11.6% → last ⅓ avg 10.9%

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

0.21Best match rating · 9–2 · inferno, 14 Sept →
27%Best headshot accuracy · 1–10 · dust2, 4 Sept →
445msFastest reaction time · 7–9 · inferno, 4 Sept →
13–1Biggest win · italy, 18 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
5–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 67% over 15ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2914–1548%0.02
infernoS1510–567%0.01
mirageB147–750%0.00
ancientC114–736%0.01
cacheS96–367%-0.02
nukeB63–350%0.00
vertigo—42–250%0.02
anubis—31–233%-0.00
office—32–167%-0.00
overpass—21–150%0.06
boulder—21–150%-0.00
italy—11–0100%0.02
train—11–0100%0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

57Matches
49%Win rate
0.89Avg K/D
74.4ADR
30%Headshot %

Clutches & streaks

21%1v1 clutch win
17%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21650%0.9215.2
Mirage1136%0.9113.0
Ancient1155%0.8213.7
Cache633%0.8516.0
Inferno580%0.789.4
Vertigo540%0.8715.6
Nuke250%1.2012.5
Anubis1100%1.2018.0

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.

10.4%Headshot accuracy
33.8%Accuracy (enemy spotted)
37.5%Spray accuracy
74.5%Counter-strafing
11.4°Preaim
607msReaction time
42.7%T opening success
35.2%CT opening success
0.61Enemies flashed / flash
2.6%Flash assists
7.15HE damage / grenade
15.57Flashes / 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 10.4209% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.2437% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0514%29 Sept →
mirage5–13-0.034%28 Sept →
dust213–60.0710%28 Sept →
mirage13–60.0013%28 Sept →
inferno8–130.0220%28 Sept →
anubis12–12-0.009%26 Sept →
dust213–50.0610%23 Sept →
vertigo13–50.0315%23 Sept →
vertigo12–120.0112%23 Sept →
vertigo3–13-0.0116%23 Sept →
dust213–5-0.0610%23 Sept →
dust212–120.0110%18 Sept →
italy13–10.028%18 Sept →
anubis13–4-0.0318%18 Sept →
ancient19–17-0.0112%18 Sept →
inferno9–20.2115%14 Sept →
dust213–11-0.016%14 Sept →
inferno13–10.055%10 Sept →
inferno13–6-0.032%9 Sept →
dust213–30.057%9 Sept →
inferno13–2-0.023%8 Sept →
nuke13–50.0311%8 Sept →
mirage6–130.017%8 Sept →
ancient9–13-0.035%8 Sept →
dust213–9-0.0116%6 Sept →
office13–50.029%5 Sept →
dust213–30.0711%5 Sept →
dust28–130.0914%5 Sept →
mirage13–40.069%4 Sept →
ancient4–13-0.0418%4 Sept →
overpass12–120.038%4 Sept →
inferno13–40.069%4 Sept →
dust21–10-0.0027%4 Sept →
mirage5–13-0.045%4 Sept →
cache13–20.028%4 Sept →
nuke13–10-0.018%4 Sept →
office13–20.047%4 Sept →
inferno7–90.078%4 Sept →
dust213–90.0118%3 Sept →
boulder5–130.0212%3 Sept →
ancient13–6-0.0413%3 Sept →
mirage13–4-0.0020%3 Sept →
train13–10.1212%3 Sept →
cache13–8-0.036%3 Sept →
mirage13–6-0.039%3 Sept →
dust25–130.0211%2 Sept →
mirage13–70.1014%2 Sept →
nuke11–130.023%2 Sept →
inferno2–13-0.0510%2 Sept →
mirage10–13-0.008%2 Sept →
dust29–13-0.055%2 Sept →
office6–13-0.0710%2 Sept →
cache4–13-0.1013%2 Sept →
mirage6–13-0.035%2 Sept →
mirage9–130.002%1 Sept →
dust26–13-0.0210%1 Sept →
dust23–13-0.0412%1 Sept →
inferno13–4-0.049%1 Sept →
dust213–100.0119%1 Sept →
mirage13–11-0.0311%31 Aug →
cache13–30.0611%31 Aug →
cache13–5-0.0310%31 Aug →
dust213–2-0.0210%31 Aug →
dust213–40.028%31 Aug →
dust29–13-0.0012%31 Aug →
cache13–10.034%31 Aug →
mirage13–4-0.0121%31 Aug →
ancient11–130.0218%31 Aug →
cache11–13-0.0410%30 Aug →
nuke10–13-0.047%30 Aug →
ancient8–130.027%30 Aug →
dust213–60.0015%30 Aug →
vertigo13–20.068%30 Aug →
dust210–130.0623%30 Aug →
ancient8–130.0212%30 Aug →
anubis8–130.0314%30 Aug →
dust213–110.1014%30 Aug →
dust28–130.1615%30 Aug →
ancient10–13-0.0012%29 Aug →
ancient14–160.077%29 Aug →
overpass13–90.0810%29 Aug →
dust214–160.0313%29 Aug →
boulder13–7-0.035%29 Aug →
inferno13–3-0.0310%28 Aug →
dust211–13-0.068%28 Aug →
inferno7–13-0.0610%28 Aug →
ancient13–6-0.0114%28 Aug →
nuke13–10-0.019%28 Aug →
inferno12–40.0520%28 Aug →
ancient16–120.0912%28 Aug →
mirage15–150.047%28 Aug →
dust211–130.0210%27 Aug →
nuke2–130.0219%27 Aug →
inferno13–70.0018%27 Aug →
cache12–16-0.064%27 Aug →
dust211–13-0.054%27 Aug →
dust213–110.0710%27 Aug →
inferno10–13-0.028%26 Aug →
cache16–13-0.0415%26 Aug →
inferno13–70.0016%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.