go ff

go ff — CS2 Stats

UA76561198968649117[U:1:1008383389]Steam profile ↗✓ No bans

601Tracked matches52%Win rate2020Tracked since
1,226Hours in CS35Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating25,979Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#14177 of 261624 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 25,979 → 25,979
+17Tracked matches · now 601
−3.4ppWin rate · 55.2% → 51.7%

Rating over time

Premier CS Rating: 25,979 -888 1 Aug – 9 Nov · 15 days played
25,36126,867peak 26,8671 Aug9 Nov
26,986Peak Premier in tracked matches
44Days played since 2026-08-01

Premier CS Rating

  • 888 below peak (26,867)
  • +618 over 90 days
  • Next: Gold band at 30,000 — 4,021 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-03
  • Pink band first seen 2026-09-03

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches16——
Win rate31%——
K/D1.06——
Headshot %62%——

Measured 9 Nov 2026 → 15 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

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 rate45.1%48.2%50.9%5.8% short
Shot accuracy8.2%13.2%13.7%5.5% short
Kill/death ratio1.171.071.09above
Match win rate48.6%46.9%48.4%meets

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

Widest gap: Shot accuracy. 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.GGgo ffFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,979 · Red 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

Aim65
Positioning67
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateLWLWLWLWLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −4.3pp headshot accuracy · −60ms 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 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 517ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 526ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 555ms

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).

Aim6.5
Utility3.2
Positioning6.7
Opening Duels5.0
Clutch4.2

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

jL

Plays most like jL 87% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower 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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 62% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.5
Positioning6.7
Utility3.2
Mechanics4.6
Opening Duels5.9
Win Impact5.6

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time551ms+32ms
first ⅓ avg 519ms → last ⅓ avg 551ms
Headshot accuracy17.0%+1.8%
first ⅓ avg 15.2% → last ⅓ avg 17.0%

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

0.28Best match rating · 9–1 · overpass, 7 Oct →
43%Best headshot accuracy · 0–5 · dust2, 14 Oct →
336msFastest reaction time · 13–11 · inferno, 14 Aug →
13–0Biggest win · train, 4 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 80% over 5mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B2210–1245%-0.00
mirageC145–936%0.00
cacheB126–650%0.03
anubisA116–555%0.02
nukeS118–373%0.07
ancientA95–456%0.04
trainS54–180%0.09
vertigoS54–180%0.01
infernoA53–260%0.04
office—42–250%0.05
overpass—21–150%0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,906Lifetime kills
1.17K/D · Top 50% of Level 9 players
2,100Matches
48.6%Match win rate · Top 50% of Level 9 players
45.1%Headshot %
8.2%Shot accuracy
8,555MVPs
748Hours (in match)
1,307Bombs planted
478Bombs defused

Most-used weapons

AK-4712,188
AWP6,985
MP91,400
MAC-101,212
Knife675

Lifetime map wins

2,751dust2
1,521inferno
1,312nuke
967vertigo
822office
662train
117italy
71bank

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

Faceit stats

Combat

294Matches
53%Win rate
1.22Avg K/D
90.0ADR
41%Headshot %

Clutches & streaks

41%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust26856%1.3219.5
Mirage5048%1.1418.4
Anubis4255%1.1517.3
Ancient3855%1.2417.5
Nuke3656%1.3518.5
Cache2548%1.2617.5
Vertigo580%1.7922.2
Inferno450%1.2418.8

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.

16.6%Headshot accuracy
34.9%Accuracy (enemy spotted)
39.1%Spray accuracy
70.7%Counter-strafing
10.2°Preaim
549msReaction time
46.0%T opening success
61.5%CT opening success
0.53Enemies flashed / flash
6.6%Flash assists
6.20HE damage / grenade
2.55Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5525 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0518%13 Nov →
anubis13–90.0611%13 Nov →
anubis10–13-0.0415%13 Nov →
cache13–100.0411%5 Nov →
dust28–130.0414%4 Nov →
train13–00.1222%4 Nov →
vertigo8–13-0.0111%4 Nov →
mirage13–20.088%4 Nov →
anubis12–16-0.0213%29 Oct →
nuke13–50.0823%29 Oct →
dust213–50.0713%28 Oct →
nuke13–30.0913%28 Oct →
anubis13–70.0222%28 Oct →
office13–10.0619%28 Oct →
office7–130.0129%28 Oct →
anubis11–13-0.0120%26 Oct →
nuke5–13-0.0318%25 Oct →
vertigo13–6-0.0117%25 Oct →
cache13–50.0618%23 Oct →
cache12–120.1320%23 Oct →
cache7–13-0.0410%22 Oct →
mirage11–13-0.0211%14 Oct →
nuke13–90.0614%14 Oct →
cache3–13-0.0632%14 Oct →
dust20–5-0.0843%14 Oct →
ancient13–20.0617%14 Oct →
nuke13–100.0512%13 Oct →
overpass9–10.2816%7 Oct →
train13–70.0621%7 Oct →
train8–130.0322%7 Oct →
nuke3–13-0.0310%6 Oct →
dust213–110.0312%3 Oct →
inferno13–10-0.009%1 Oct →
mirage6–13-0.089%30 Sept →
office13–90.1111%30 Sept →
anubis12–120.0513%30 Sept →
dust27–130.0118%30 Sept →
dust213–90.019%26 Sept →
dust210–13-0.077%24 Sept →
cache13–50.0224%23 Sept →
vertigo13–90.018%23 Sept →
ancient13–40.0921%18 Sept →
anubis13–60.0922%17 Sept →
ancient3–130.0113%17 Sept →
dust26–130.0617%17 Sept →
office12–120.027%16 Sept →
anubis13–60.0627%16 Sept →
dust29–13-0.019%13 Sept →
mirage12–120.0813%12 Sept →
cache13–90.1515%11 Sept →
dust212–120.0717%11 Sept →
vertigo13–110.0414%9 Sept →
dust213–60.0917%9 Sept →
nuke13–20.2228%9 Sept →
mirage6–13-0.1014%9 Sept →
dust213–110.0120%9 Sept →
ancient13–90.0111%7 Sept →
ancient4–13-0.044%7 Sept →
ancient11–130.0413%6 Sept →
mirage11–130.0619%3 Sept →
cache12–120.0211%3 Sept →
overpass4–13-0.0314%3 Sept →
nuke13–3-0.0320%3 Sept →
ancient10–130.0018%2 Sept →
ancient13–90.1313%30 Aug →
anubis13–10-0.0113%26 Aug →
cache13–40.0410%26 Aug →
cache2–13-0.0523%26 Aug →
dust21–13-0.1021%26 Aug →
mirage13–4-0.0214%23 Aug →
vertigo13–30.0511%23 Aug →
cache8–130.0816%23 Aug →
nuke13–60.2721%23 Aug →
mirage13–7-0.053%21 Aug →
dust213–4-0.0512%21 Aug →
inferno13–110.138%14 Aug →
dust213–20.113%14 Aug →
train13–30.078%14 Aug →
nuke11–13-0.0222%13 Aug →
inferno10–130.018%12 Aug →
ancient13–70.1013%12 Aug →
train13–50.1814%12 Aug →
inferno11–130.0213%11 Aug →
mirage13–80.0015%11 Aug →
dust213–100.0415%11 Aug →
mirage13–80.0618%9 Aug →
mirage8–130.0217%5 Aug →
mirage6–130.0133%5 Aug →
nuke13–30.1013%5 Aug →
dust213–8-0.0413%4 Aug →
inferno13–60.0221%3 Aug →
mirage11–13-0.0424%3 Aug →
dust20–3-0.070%3 Aug →
dust215–15-0.0320%2 Aug →
mirage7–130.0517%2 Aug →
dust22–13-0.0335%2 Aug →
cache13–4-0.039%2 Aug →
dust213–4-0.1119%1 Aug →
anubis4–13-0.0214%1 Aug →
anubis7–20.0011%1 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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