777

777 — CS2 Stats

SE76561198925898994[U:1:965633266]Steam profile ↗✓ No bans

2,087Tracked matches47%Win rate2023Tracked since
4,064Hours in CS65Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,196 → 1,196
+60Tracked matches · now 2,087
−3.3ppWin rate · 50.0% → 46.7%

Rating over time

Faceit ELO: 1,196 +0 30 Aug – 16 Sept · 3 observations
1,1961,196peak 1,19630 Aug16 Sept
12,542Peak Premier in tracked matches
1,196Highest Faceit ELO seen on CSDB
34Days played since 2026-04-14

Faceit ELO

  • At peak — 1,196
  • Next: Level 6 at 1,201 — 5 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-30
  • Level 4 first seen 2026-08-30

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

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CSDB.GG777PEAK ELO1,196csdb.gg/stats

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Performance scores

Aim69
Positioning53
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLWWLLWWLLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −1.3pp headshot accuracy · +15ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 598ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 607ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 600ms

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 (+1.9 against its own average).

Aim6.9
Utility2.3
Positioning5.3
Opening Duels2.8
Clutch3.4

Limited 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 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 596ms 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

Aim6.9
Positioning5.3
Utility2.3
Mechanics6.1
Opening Duels3.7
Win Impact3.9

Composite 4.6/10 (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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time593ms−45ms
first ⅓ avg 638ms → last ⅓ avg 593ms
Headshot accuracy24.2%+1.3%
first ⅓ avg 22.9% → last ⅓ avg 24.2%

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 · 13–5 · vertigo, 27 Oct →
44%Best headshot accuracy · 8–13 · dust2, 12 Jul →
422msFastest reaction time · 9–13 · vertigo, 19 Oct →
13–2Biggest win · mirage, 18 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–4In matches decided by ≤2 rounds
17Overtime games

Map breakdown

cacheBest map · 83% over 6vertigoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA3620–1656%-0.02
dust2B157–847%-0.01
vertigoC146–843%-0.01
anubisB126–650%0.00
ancientA74–357%-0.02
cacheS65–183%-0.02
nuke—41–325%0.01
inferno—40–40%-0.01
aim_pantamera—11–0100%-0.05
overpass—11–0100%0.05

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,549Lifetime kills
0.96K/D
2,208Matches
44.8%Match win rate
46.1%Headshot % · Top 50% of tracked players
2.6%Shot accuracy
5,403MVPs
2,391Hours (in match)
1,396Bombs planted
738Bombs defused

Most-used weapons

AK-4713,471
AWP7,448
Knife816
MP9748

Lifetime map wins

2,898dust2
2,371inferno
1,884vertigo
1,601nuke
580train
88office
57cbble
43italy

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

Faceit stats

Combat

1,390Matches
48%Win rate
1.01Avg K/D
74.9ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage44049%1.0115.3
Dust225550%0.9714.6
Ancient16749%1.0315.4
Anubis15247%1.1115.9
Nuke14245%0.9514.7
Inferno13943%1.0114.8
Overpass7251%1.0515.7
Train1850%1.1317.3

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.

24.9%Headshot accuracy
32.9%Accuracy (enemy spotted)
32.8%Spray accuracy
77.2%Counter-strafing
10.1°Preaim
596msReaction time
51.2%T opening success
38.0%CT opening success
0.44Enemies flashed / flash
1.3%Flash assists
1.54HE damage / grenade
3.63Flashes / 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 0.4448 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 38.0294% — below the 40% mark we flag

Spend your practice time on Vertigo

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo9–130.0023%31 Oct →
vertigo13–50.1021%27 Oct →
nuke13–80.0225%24 Oct →
mirage9–13-0.0420%24 Oct →
dust29–13-0.0130%24 Oct →
dust216–12-0.0229%24 Oct →
cache13–11-0.0429%24 Oct →
dust26–13-0.0431%24 Oct →
nuke10–13-0.0517%24 Oct →
mirage16–14-0.0326%23 Oct →
dust216–12-0.0332%23 Oct →
mirage13–7-0.0017%23 Oct →
vertigo9–13-0.1128%23 Oct →
cache13–8-0.0324%23 Oct →
vertigo13–10-0.0431%23 Oct →
ancient8–13-0.0626%22 Oct →
mirage13–70.0520%22 Oct →
mirage16–19-0.0729%22 Oct →
mirage13–6-0.0238%22 Oct →
dust22–13-0.0421%22 Oct →
dust212–16-0.0228%22 Oct →
mirage7–13-0.0226%22 Oct →
mirage10–130.0122%22 Oct →
mirage13–100.0224%22 Oct →
nuke8–130.0933%22 Oct →
anubis4–130.0020%22 Oct →
vertigo13–4-0.0621%21 Oct →
mirage19–150.0318%21 Oct →
vertigo7–13-0.0219%21 Oct →
mirage5–13-0.0915%21 Oct →
mirage11–13-0.0126%21 Oct →
mirage19–16-0.0513%21 Oct →
mirage13–60.0116%21 Oct →
dust213–9-0.0041%20 Oct →
mirage19–150.0824%19 Oct →
mirage5–13-0.086%19 Oct →
ancient7–13-0.0520%19 Oct →
vertigo9–13-0.0439%19 Oct →
mirage10–13-0.0620%19 Oct →
vertigo13–9-0.0215%19 Oct →
dust213–80.0031%19 Oct →
mirage13–100.0419%18 Oct →
mirage11–13-0.0622%16 Oct →
mirage13–6-0.0716%16 Oct →
cache11–13-0.0429%16 Oct →
inferno5–130.0332%16 Oct →
anubis14–160.0216%13 Oct →
dust26–13-0.0129%13 Oct →
inferno7–13-0.0811%11 Oct →
dust210–13-0.0230%11 Oct →
mirage10–13-0.0227%11 Oct →
nuke4–13-0.0111%11 Oct →
mirage11–4-0.0324%11 Oct →
dust213–9-0.056%9 Oct →
mirage16–130.0934%9 Oct →
cache16–12-0.0129%24 Aug →
anubis13–6-0.0316%24 Aug →
inferno6–130.0038%23 Aug →
mirage7–13-0.0118%23 Aug →
cache13–80.0121%6 Aug →
ancient13–90.0124%29 Jul →
dust23–130.0330%26 Jul →
vertigo8–130.1027%26 Jul →
dust213–50.0637%25 Jul →
vertigo13–30.0725%23 Jul →
anubis10–13-0.0422%23 Jul →
mirage2–130.0121%22 Jul →
mirage13–40.0013%22 Jul →
mirage19–16-0.0424%21 Jul →
anubis16–140.0617%19 Jul →
mirage10–13-0.066%19 Jul →
mirage13–6-0.0427%19 Jul →
ancient13–100.0436%16 Jul →
ancient4–13-0.0726%13 Jul →
anubis2–13-0.0318%13 Jul →
vertigo4–13-0.070%13 Jul →
dust28–130.0144%12 Jul →
cache16–14-0.0018%12 Jul →
inferno10–130.0123%3 Jun →
mirage13–10-0.0718%26 Apr →
aim_pantamera16–13-0.0529%26 Apr →
vertigo2–13-0.0132%26 Apr →
anubis5–13-0.0319%22 Apr →
anubis13–100.0425%20 Apr →
anubis2–13-0.0823%20 Apr →
overpass13–50.0528%20 Apr →
mirage1–13-0.1333%18 Apr →
mirage13–20.0031%18 Apr →
anubis13–100.0921%18 Apr →
anubis13–90.0415%18 Apr →
dust213–7-0.0435%18 Apr →
anubis13–6-0.0138%18 Apr →
vertigo8–13-0.0723%17 Apr →
mirage13–70.0227%17 Apr →
vertigo13–10-0.0615%17 Apr →
mirage4–13-0.0714%17 Apr →
ancient22–19-0.0529%16 Apr →
ancient13–90.0620%16 Apr →
mirage16–14-0.0718%14 Apr →
mirage8–130.0112%14 Apr →

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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