FaVo

FaVo — CS2 Stats

DE76561198009498472[U:1:49232744]Steam profile ↗✓ No bans

1,198Tracked matches43%Win rate2021Tracked since
4,343Hours in CS8Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
CSDB Leaderboard#58846 of 259953 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

+53Tracked matches · now 1,198
−10.0ppWin rate · 53.3% → 43.3%

Rating over time

Premier CS Rating: 21,808 +1,808 30 Aug – 26 Sept · 6 days played
20,00021,808peak 21,80830 Aug26 Sept
21,915Peak Premier in tracked matches
34Days played since 2026-08-28

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 Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate39.0%48.2%50.9%12.0% short
Shot accuracy15.4%13.2%13.7%above
Kill/death ratio1.191.071.09above
Match win rate39.0%46.9%48.4%9.3% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFaVoFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning55
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateLWWLWWLLWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +0.5pp headshot accuracy · −30ms reaction

Win rate +10pp 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 509ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 483ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 498ms

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 (+2 against its own average).

Aim6.7
Utility4.0
Positioning5.5
Opening Duels2.3
Clutch2.2

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

iM

Plays most like iM 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 →

CSDB Rating breakdown

Aim6.7
Positioning5.5
Utility4.0
Mechanics5.0
Opening Duels3.8
Win Impact2.8

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time513ms−0ms
first ⅓ avg 513ms → last ⅓ avg 513ms
Headshot accuracy11.6%−1.1%
first ⅓ avg 12.7% → last ⅓ avg 11.6%

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

0.11Best match rating · 4–0 · rush_001, 10 Oct →
38%Best headshot accuracy · 1–13 · cache, 19 Sept →
344msFastest reaction time · 7–5 · ancient, 5 Sept →
13–3Biggest win · nuke, 15 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
16–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 67% over 6infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
ancientA2818–1064%-0.02
infernoD175–1229%-0.02
mirageA159–660%-0.01
nukeC146–843%-0.01
cacheA138–562%-0.02
dust2S64–267%0.01
anubis—40–40%-0.07
office—21–150%-0.02
rush_001—11–0100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,749Lifetime kills
1.19K/D · Top 25% of Level 9 players
6,344Matches
39.0%Match win rate
39.0%Headshot %
15.4%Shot accuracy · Top 50% of Level 9 players
11,988MVPs
2,612Hours (in match)
2,752Bombs planted
999Bombs defused

Most-used weapons

AK-4735,582
AWP14,561
Negev5,615
P2504,011
AUG3,445
SG 5533,000

Lifetime map wins

8,738dust2
8,003inferno
3,644nuke
1,469train
1,367cbble
644vertigo
320office
310italy

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

Faceit stats

Combat

403Matches
52%Win rate
0.99Avg K/D
74.9ADR
37%Headshot %

Clutches & streaks

31%1v1 clutch win
13%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7250%0.9614.7
Inferno4951%1.0314.8
Ancient4166%0.8714.8
Nuke3847%0.9814.1
Anubis3432%0.9115.7
Dust23355%0.9014.2
Cache2959%1.0616.1
Vertigo450%1.0719.0

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.

11.2%Headshot accuracy
35.5%Accuracy (enemy spotted)
38.6%Spray accuracy
72.4%Counter-strafing
9.3°Preaim
503msReaction time
47.1%T opening success
43.2%CT opening success
0.61Enemies flashed / flash
0.0%Flash assists
7.26HE damage / grenade
5.66Flashes / 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 11.1712% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0125%1 Nov →
ancient13–4-0.0312%1 Nov →
mirage13–11-0.048%25 Oct →
ancient4–13-0.072%25 Oct →
dust213–60.0817%24 Oct →
ancient13–10-0.018%24 Oct →
nuke2–13-0.0613%24 Oct →
inferno6–13-0.0613%23 Oct →
ancient13–7-0.014%23 Oct →
inferno11–13-0.0916%20 Oct →
nuke13–60.0418%20 Oct →
anubis6–13-0.105%13 Oct →
ancient8–13-0.0212%13 Oct →
anubis14–16-0.099%12 Oct →
mirage8–130.0211%12 Oct →
ancient8–13-0.027%12 Oct →
cache13–10-0.099%12 Oct →
ancient4–13-0.0318%11 Oct →
mirage16–14-0.0114%11 Oct →
cache16–14-0.0110%11 Oct →
ancient13–11-0.0119%11 Oct →
rush_0014–00.1120%10 Oct →
ancient14–16-0.056%9 Oct →
cache6–13-0.049%9 Oct →
inferno6–13-0.066%8 Oct →
mirage13–8-0.0015%8 Oct →
cache7–13-0.0110%8 Oct →
inferno10–130.0114%6 Oct →
nuke13–100.0110%6 Oct →
inferno13–110.0311%6 Oct →
nuke5–130.028%3 Oct →
cache11–13-0.0210%3 Oct →
inferno13–5-0.0214%3 Oct →
mirage13–11-0.0211%2 Oct →
inferno6–13-0.0314%2 Oct →
ancient10–13-0.069%2 Oct →
mirage13–11-0.009%27 Sept →
mirage7–130.024%27 Sept →
cache13–10-0.098%26 Sept →
nuke13–40.0211%26 Sept →
ancient13–40.0411%26 Sept →
ancient6–13-0.0110%26 Sept →
mirage3–13-0.0817%26 Sept →
inferno13–60.0614%26 Sept →
inferno18–22-0.057%24 Sept →
nuke1–13-0.0611%24 Sept →
ancient2–13-0.0510%22 Sept →
nuke8–13-0.036%22 Sept →
ancient13–80.0113%22 Sept →
ancient13–8-0.048%20 Sept →
mirage13–11-0.0110%20 Sept →
ancient16–12-0.0511%20 Sept →
nuke13–6-0.069%19 Sept →
cache1–13-0.0338%19 Sept →
mirage7–130.047%19 Sept →
ancient16–120.0216%19 Sept →
cache13–7-0.0111%15 Sept →
dust213–6-0.0514%15 Sept →
inferno14–16-0.038%15 Sept →
nuke13–11-0.0517%15 Sept →
ancient8–13-0.060%15 Sept →
nuke13–30.0921%15 Sept →
ancient13–8-0.0122%15 Sept →
cache13–160.0415%13 Sept →
inferno5–130.008%12 Sept →
mirage10–130.0021%12 Sept →
ancient22–19-0.016%12 Sept →
inferno13–30.0316%12 Sept →
ancient19–170.0016%10 Sept →
dust25–13-0.0510%10 Sept →
dust213–110.0112%8 Sept →
nuke7–130.0121%8 Sept →
ancient13–5-0.0214%8 Sept →
nuke11–130.0013%8 Sept →
cache13–4-0.0517%8 Sept →
cache13–30.068%7 Sept →
mirage16–130.0116%6 Sept →
nuke6–13-0.0310%6 Sept →
inferno13–9-0.039%6 Sept →
ancient13–8-0.016%6 Sept →
cache13–40.0424%6 Sept →
ancient13–6-0.0414%6 Sept →
inferno10–13-0.0715%6 Sept →
anubis3–13-0.0819%5 Sept →
cache13–11-0.038%5 Sept →
ancient7–5-0.017%5 Sept →
mirage11–13-0.0310%5 Sept →
dust213–50.0515%5 Sept →
inferno8–130.0018%4 Sept →
office13–7-0.019%3 Sept →
office3–13-0.0317%3 Sept →
nuke11–13-0.068%1 Sept →
inferno10–13-0.0510%1 Sept →
mirage13–11-0.0415%31 Aug →
ancient13–6-0.014%31 Aug →
dust27–130.0115%30 Aug →
inferno9–13-0.087%29 Aug →
ancient13–110.0516%29 Aug →
ancient5–13-0.0912%29 Aug →
mirage13–11-0.0111%29 Aug →

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 →

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