Gav

Gav — CS2 Stats

VA76561198118692561[U:1:158426833]Steam profile ↗✓ No bans

1,484Tracked matches43%Win rate2022Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating21,623Top 50% of 205,052 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#59339 of 252230 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,484 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,623 +3,006 27 Oct – 20 Sept · 27 days played
17,54623,973peak 23,97327 Oct20 Sept
23,973Peak Premier in tracked matches
34Days played since 2025-10-27

Premier CS Rating

  • 2,350 below peak (23,973)
  • Next: Red band at 25,000 — 3,377 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-19
  • Purple band first seen 2026-09-19

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

Share this profile

CSDB.GGGavFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER21,623 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim37
Positioning43
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWLWWLLWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.6pp headshot accuracy · +85ms 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 -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 653ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 648ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 605ms

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 (+1.4 against its own average).

Aim3.7
Utility4.3
Positioning4.3
Opening Duels2.1
Clutch1.0

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.

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

donk

Plays most like donk 73% 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

T-side openings. Opening success drops from 48% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.7
Positioning4.3
Utility4.3
Mechanics3.6
Opening Duels2.3
Win Impact2.6

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.04
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time596ms+7ms
first ⅓ avg 589ms → last ⅓ avg 596ms
Headshot accuracy13.6%−0.2%
first ⅓ avg 13.8% → last ⅓ avg 13.6%

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

0.16Best match rating · 9–2 · inferno, 8 Jan →
40%Best headshot accuracy · 5–13 · dust2, 7 Jan →
422msFastest reaction time · 9–2 · inferno, 8 Jan →
13–0Biggest win · overpass, 8 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 71% over 14dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB3217–1553%0.00
ancientS2114–767%0.00
infernoS1410–471%0.02
dust2D123–925%-0.02
overpassC94–544%-0.01
nukeD72–529%-0.00
anubis—30–30%-0.03
train—20–20%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

70Matches
50%Win rate
1.02Avg K/D
84.7ADR
40%Headshot %

Clutches & streaks

25%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage580%1.7312.2
Ancient475%1.0414.8
Dust24100%1.2419.8
Nuke2100%1.2624.0
Anubis2100%0.9615.0
Overpass250%0.8013.0
Inferno1100%0.6111.0

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.

13.3%Headshot accuracy
31.6%Accuracy (enemy spotted)
32.0%Spray accuracy
66.0%Counter-strafing
11.5°Preaim
600msReaction time
21.5%T opening success
48.3%CT opening success
0.33Enemies flashed / flash
4.7%Flash assists
10.64HE damage / grenade
4.67Flashes / 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 13.2712% — below the 15% 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 0.3291 — below the 0.5 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 21.4987% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.016%2 May →
mirage13–11-0.0413%2 May →
ancient10–130.0112%2 May →
inferno13–11-0.0020%17 Apr →
mirage13–10-0.0314%17 Apr →
mirage7–13-0.0016%17 Apr →
overpass8–13-0.0414%17 Apr →
mirage16–130.0417%12 Apr →
anubis11–13-0.027%12 Apr →
nuke7–13-0.0714%12 Apr →
mirage13–10-0.0020%12 Apr →
mirage13–30.0518%10 Apr →
ancient7–13-0.1311%10 Apr →
ancient5–13-0.0214%10 Apr →
ancient13–10-0.029%9 Apr →
overpass15–15-0.077%9 Apr →
mirage13–20.0721%9 Apr →
dust214–16-0.069%5 Apr →
mirage2–13-0.026%5 Apr →
nuke15–15-0.0113%5 Apr →
ancient13–4-0.0119%4 Apr →
ancient14–160.0113%1 Apr →
anubis8–13-0.059%1 Apr →
ancient13–60.0012%26 Mar →
dust23–130.0117%14 Mar →
mirage16–13-0.0511%4 Mar →
nuke11–13-0.0320%4 Mar →
ancient13–40.0216%4 Mar →
dust24–13-0.0520%4 Mar →
inferno5–13-0.079%4 Mar →
inferno14–160.0111%4 Mar →
dust23–13-0.0316%4 Mar →
inferno13–90.0419%3 Mar →
dust213–6-0.048%3 Mar →
mirage11–130.0422%2 Mar →
mirage15–150.0021%1 Mar →
overpass13–6-0.0511%1 Mar →
overpass13–110.0119%28 Feb →
mirage13–1-0.0319%28 Feb →
dust27–130.0411%28 Feb →
inferno13–60.0714%27 Feb →
ancient13–7-0.0221%27 Feb →
overpass11–13-0.0417%27 Feb →
dust213–11-0.028%21 Feb →
mirage13–10-0.0511%21 Feb →
mirage13–80.0614%31 Jan →
inferno13–10-0.0312%26 Jan →
anubis5–13-0.048%26 Jan →
ancient13–20.0319%25 Jan →
mirage0–90.000%19 Jan →
mirage8–130.0113%13 Jan →
ancient13–90.0412%13 Jan →
dust213–100.0113%13 Jan →
dust210–13-0.0116%13 Jan →
ancient13–80.0213%13 Jan →
ancient15–150.0112%12 Jan →
mirage10–130.0113%12 Jan →
mirage11–130.0113%11 Jan →
mirage5–13-0.1013%11 Jan →
overpass3–13-0.0118%11 Jan →
ancient13–60.0316%11 Jan →
inferno7–13-0.0312%11 Jan →
mirage13–90.0122%11 Jan →
mirage13–10-0.0214%10 Jan →
nuke10–130.0214%10 Jan →
mirage2–13-0.0414%10 Jan →
mirage13–11-0.0311%10 Jan →
mirage11–130.0718%9 Jan →
overpass4–130.0012%9 Jan →
inferno13–10-0.058%9 Jan →
ancient6–13-0.0316%9 Jan →
inferno13–7-0.016%9 Jan →
overpass13–00.0720%8 Jan →
overpass13–30.0414%8 Jan →
inferno9–50.1519%8 Jan →
inferno9–20.1615%8 Jan →
mirage13–10-0.015%7 Jan →
ancient13–50.0632%7 Jan →
dust25–130.0040%7 Jan →
mirage11–130.019%7 Jan →
mirage13–10-0.019%7 Jan →
ancient13–7-0.0210%7 Jan →
ancient10–13-0.0419%5 Jan →
ancient13–100.018%5 Jan →
train7–13-0.0620%5 Jan →
inferno9–50.0420%5 Jan →
ancient13–110.088%4 Jan →
inferno11–13-0.0212%1 Nov →
mirage16–140.007%1 Nov →
ancient16–130.039%1 Nov →
mirage9–130.0314%1 Nov →
inferno13–30.0421%1 Nov →
mirage13–100.037%30 Oct →
nuke10–13-0.0211%30 Oct →
nuke13–60.0811%30 Oct →
dust210–13-0.049%29 Oct →
nuke13–100.028%29 Oct →
train11–13-0.028%29 Oct →
mirage8–130.0515%29 Oct →
dust214–16-0.0315%27 Oct →

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.