Avi

Avi — CS2 Stats

GS76561198065684090[U:1:105418362]Steam profile ↗✓ No bans

1,115Tracked matches58%Win rate2020Tracked since
3,887Hours in CS4Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
CSDB Leaderboard#99726 of 258275 tracked
FaceitLevel 7 · 1,433 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,433 → 1,433
+18Tracked matches · now 1,115
+0.6ppWin rate · 57.7% → 58.3%

Rating over time

18,903Peak Premier on CSDB
1,433Highest Faceit ELO seen on CSDB
61Days played since 2026-07-15

Faceit ELO

  • At peak — 1,433
  • Next: Level 8 at 1,531 — 98 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-10-05
  • Level 6 first seen 2026-10-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate44.7%45.7%46.8%2.1% short
Shot accuracy16.1%12.7%13.0%above
Kill/death ratio1.131.051.06above
Match win rate47.9%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAviFACEITLevel 7 · 1,433 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,433csdb.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

Aim88
Positioning65
Utility61

0–100 skill scores via Leetify.

Recent form

HOT51–34–15Last 10051%Win rateWWWWLWWLLW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −5.4pp headshot accuracy · −5ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 538ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 537ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 539ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim8.8
Utility6.1
Positioning6.5
Opening Duels3.7
Clutch6.0

Sharp aimer

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

iM

Plays most like iM 98% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 69% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 557ms 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

Aim8.8
Positioning6.5
Utility6.1
Mechanics7.7
Opening Duels7.4
Win Impact7.8

Composite 6.8/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time557ms−4ms
first ⅓ avg 560ms → last ⅓ avg 557ms
Headshot accuracy26.3%+1.6%
first ⅓ avg 24.8% → last ⅓ avg 26.3%

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

0.17Best match rating · 13–0 · inferno, 2 Aug →
57%Best headshot accuracy · 1–13 · cache, 24 Sept →
359msFastest reaction time · 8–8 · inferno, 24 Sept →
13–0Biggest win · inferno, 2 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
10–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 55% over 22infernoWeakest map · 51% over 67
MapGradePlayedRecordWin rateAvg rating
infernoB6734–3351%0.01
cacheA2212–1055%0.02
anubis—40–40%0.02
dust2—33–0100%0.03
ancient—21–150%-0.01
nuke—11–0100%-0.07
mirage—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (51% over 67). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,840Lifetime kills
1.13K/D · Top 50% of Level 7 players
5,116Matches
47.9%Match win rate · Top 50% of Level 7 players
44.7%Headshot %
16.1%Shot accuracy · Top 25% of Level 7 players
13,943MVPs
2,266Hours (in match)
5,119Bombs planted
1,289Bombs defused

Most-used weapons

AK-4737,403
AWP16,123
UMP-454,159
Tec-92,828
P2502,717

Lifetime map wins

16,844inferno
4,518dust2
2,029cbble
972nuke
928train
147vertigo
145aztec
120office

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

Faceit stats

Combat

878Matches
53%Win rate
1.16Avg K/D
82.7ADR
45%Headshot %

Clutches & streaks

50%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2352%1.0415.0
Dust22157%1.0617.2
Ancient1953%1.1315.6
Inferno1861%1.1619.5
Anubis1136%0.8815.3
Cache5100%1.6119.8
Nuke475%1.0218.8
Overpass333%1.2517.7

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.

26.5%Headshot accuracy
36.4%Accuracy (enemy spotted)
38.8%Spray accuracy
84.6%Counter-strafing
8.4°Preaim
557msReaction time
69.1%T opening success
49.9%CT opening success
0.49Enemies flashed / flash
5.4%Flash assists
11.59HE damage / grenade
9.46Flashes / 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. 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 0.4859 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–3-0.0426%26 Oct →
cache13–4-0.019%26 Oct →
dust213–30.1029%19 Oct →
nuke16–13-0.0717%19 Oct →
ancient10–130.0030%19 Oct →
cache13–100.0821%15 Oct →
cache13–110.0838%14 Oct →
cache6–130.0422%13 Oct →
inferno6–13-0.0424%13 Oct →
cache13–100.0514%13 Oct →
inferno12–12-0.0319%12 Oct →
inferno13–80.0618%10 Oct →
cache13–80.0332%10 Oct →
inferno12–120.0523%9 Oct →
inferno13–110.0723%8 Oct →
cache13–8-0.0337%6 Oct →
inferno13–70.0031%6 Oct →
anubis12–120.0227%5 Oct →
cache10–130.0141%3 Oct →
inferno6–130.0132%30 Sept →
cache3–13-0.0127%30 Sept →
inferno12–120.0529%29 Sept →
cache13–20.1227%29 Sept →
cache7–13-0.0220%27 Sept →
cache8–13-0.0619%27 Sept →
anubis11–13-0.0223%25 Sept →
inferno12–12-0.0633%25 Sept →
inferno7–9-0.0616%24 Sept →
inferno8–8-0.0819%24 Sept →
cache1–130.0557%24 Sept →
cache12–120.0832%23 Sept →
inferno13–5-0.0021%23 Sept →
inferno13–60.0532%18 Sept →
cache13–10-0.0432%18 Sept →
inferno13–40.0124%18 Sept →
inferno13–60.0215%15 Sept →
cache13–110.0137%13 Sept →
inferno12–12-0.0230%11 Sept →
mirage3–8-0.0817%10 Sept →
inferno13–80.0231%9 Sept →
inferno6–13-0.0025%9 Sept →
inferno13–10.1219%8 Sept →
inferno13–90.0135%7 Sept →
inferno13–4-0.0417%3 Sept →
inferno13–11-0.0230%2 Sept →
inferno13–3-0.0513%1 Sept →
inferno13–70.1025%25 Aug →
inferno2–130.0123%24 Aug →
inferno13–11-0.0315%24 Aug →
cache0–6-0.1020%24 Aug →
inferno12–12-0.0525%23 Aug →
inferno12–12-0.049%22 Aug →
inferno11–130.0325%21 Aug →
anubis8–13-0.0110%20 Aug →
inferno13–110.0324%20 Aug →
anubis12–120.0929%19 Aug →
inferno6–130.0329%19 Aug →
dust213–110.0224%19 Aug →
ancient13–3-0.0338%19 Aug →
inferno4–13-0.0356%18 Aug →
inferno13–70.0718%17 Aug →
inferno13–50.0942%16 Aug →
inferno13–50.0218%14 Aug →
inferno13–40.0725%12 Aug →
inferno8–130.0321%10 Aug →
inferno4–13-0.0331%8 Aug →
cache13–20.0443%7 Aug →
inferno13–90.0314%6 Aug →
inferno10–130.0122%6 Aug →
inferno13–11-0.0216%5 Aug →
inferno13–90.0323%5 Aug →
inferno13–110.0425%3 Aug →
inferno11–130.0226%3 Aug →
inferno13–00.1747%2 Aug →
inferno12–120.0424%30 Jul →
inferno13–110.0218%29 Jul →
inferno13–70.0136%29 Jul →
inferno10–13-0.0730%29 Jul →
dust213–3-0.0228%28 Jul →
inferno13–100.0220%27 Jul →
cache13–50.0331%24 Jul →
inferno6–13-0.0517%24 Jul →
inferno7–130.0230%23 Jul →
inferno12–120.0226%22 Jul →
inferno8–13-0.0514%22 Jul →
inferno13–4-0.0221%21 Jul →
inferno8–13-0.0416%21 Jul →
inferno9–130.0735%20 Jul →
inferno10–130.0321%19 Jul →
cache1–130.0026%18 Jul →
inferno6–130.0143%18 Jul →
cache13–30.1036%18 Jul →
inferno12–120.0119%18 Jul →
inferno12–120.0024%18 Jul →
inferno13–5-0.0415%18 Jul →
inferno13–5-0.0110%18 Jul →
inferno5–40.069%16 Jul →
cache11–130.0733%15 Jul →
inferno13–60.0633%15 Jul →
inferno13–90.0533%15 Jul →

Match data via Leetify.

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.