GF

GF — CS2 Stats

76561198117147317[U:1:156881589]Steam profile ↗✓ No bans

3,159Tracked matches69%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating14,248Blue band · top ~32.4% of ranked players (population est.)
FaceitLevel 5 · 1,081 ELOTop 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,248 +174 20 Jul – 4 Nov · 41 days played
10,00014,772peak 14,77220 Jul4 Nov
Faceit ELO: 1,081 +0 21 Sept – 22 Sept · 2 observations
1,0811,081peak 1,08121 Sept22 Sept
14,999Peak Premier in tracked matches
1,081Highest Faceit ELO seen on CSDB
41Days played since 2026-07-20

Faceit ELO

  • At peak — 1,081
  • Next: Level 6 at 1,201 — 120 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-21
  • Level 4 first seen 2026-09-21

Premier CS Rating

  • 524 below peak (14,772)
  • +3,991 over 30 days · improving
  • +2,217 over 90 days
  • Next: Purple band at 15,000 — 752 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-21
  • Light Blue band first seen 2026-09-21

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.

Share this profile

CSDB.GGGFFACEITLevel 5 · 1,081 ELOSTANDINGTop 67.6% of rankedPREMIER14,248 · Blue bandPEAK ELO1,081csdb.gg/stats

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Performance scores

Aim50
Positioning58
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWLWWWWLWWT

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −3.4pp headshot accuracy · −23ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 575ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 566ms

Last 20

  • 16–3–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 577ms

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 (+1.3 against its own average).

Aim5.0
Utility6.6
Positioning5.8
Opening Duels4.8
Clutch4.0

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

m0NESY

Plays most like m0NESY 68% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.0
Positioning5.8
Utility6.6
Mechanics4.2
Opening Duels6.0
Win Impact10.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time574ms−31ms
first ⅓ avg 606ms → last ⅓ avg 574ms
Headshot accuracy14.8%+0.3%
first ⅓ avg 14.5% → last ⅓ avg 14.8%

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

0.22Best match rating · 4–0 · dust2, 21 Aug →
25%Best headshot accuracy · 10–13 · nuke, 30 Sept →
438msFastest reaction time · 13–10 · nuke, 27 Aug →
13–0Biggest win · dust2, 24 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 73% over 15ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC219–1243%0.00
infernoB189–950%0.03
dust2S1510–567%0.03
nukeS1511–473%0.00
ancientD124–833%-0.00
anubisB115–645%-0.02
cacheC73–443%-0.04
boulder—11–0100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,315Matches
49%Win rate
0.98Avg K/D
81.7ADR
34%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8141%0.9614.3
Anubis5646%0.9614.7
Inferno5655%1.1514.8
Dust25147%1.0615.3
Nuke4963%1.1916.3
Ancient2544%0.9613.8
Train1242%0.9214.7
Vertigo757%1.2815.0

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.

14.0%Headshot accuracy
33.6%Accuracy (enemy spotted)
37.3%Spray accuracy
68.7%Counter-strafing
11.7°Preaim
570msReaction time
51.7%T opening success
56.2%CT opening success
0.54Enemies flashed / flash
6.9%Flash assists
11.08HE damage / grenade
13.91Flashes / 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 14.0251% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–60.0415%4 Nov →
mirage11–13-0.067%28 Oct →
anubis13–90.005%28 Oct →
inferno13–40.1019%27 Oct →
dust213–9-0.0121%26 Oct →
nuke13–110.0011%26 Oct →
mirage11–13-0.048%23 Oct →
mirage13–40.0419%21 Oct →
dust213–110.0312%21 Oct →
ancient15–15-0.099%21 Oct →
mirage13–10-0.0118%21 Oct →
nuke13–6-0.0116%21 Oct →
inferno13–110.006%20 Oct →
nuke13–20.0821%20 Oct →
nuke13–100.0617%20 Oct →
dust213–80.1111%20 Oct →
dust28–13-0.0219%19 Oct →
anubis13–100.0020%19 Oct →
ancient13–80.0615%19 Oct →
dust213–30.0219%19 Oct →
ancient13–60.0018%19 Oct →
anubis13–6-0.0312%19 Oct →
mirage11–13-0.0510%15 Oct →
cache4–130.0119%11 Oct →
nuke10–13-0.0425%30 Sept →
nuke13–2-0.017%29 Sept →
inferno9–130.0611%28 Sept →
inferno13–100.039%25 Sept →
inferno14–16-0.0414%21 Sept →
dust213–16-0.0218%21 Sept →
nuke11–130.0316%18 Sept →
mirage13–90.1421%17 Sept →
dust211–130.0222%10 Sept →
anubis9–13-0.0217%8 Sept →
nuke10–13-0.0215%28 Aug →
dust213–10.0812%28 Aug →
cache13–10-0.097%28 Aug →
nuke6–13-0.0011%28 Aug →
mirage13–30.0116%27 Aug →
nuke13–10-0.0119%27 Aug →
ancient8–130.018%27 Aug →
ancient15–150.066%27 Aug →
ancient11–13-0.0410%27 Aug →
nuke13–10-0.0314%27 Aug →
inferno13–100.1312%26 Aug →
cache13–11-0.0216%26 Aug →
mirage8–130.0013%26 Aug →
mirage5–130.0220%26 Aug →
nuke16–14-0.0012%24 Aug →
anubis13–110.0419%24 Aug →
ancient6–8-0.0213%24 Aug →
inferno13–10.0716%24 Aug →
inferno13–30.0815%24 Aug →
cache5–13-0.049%23 Aug →
anubis5–13-0.056%21 Aug →
ancient13–110.0110%21 Aug →
dust24–00.227%21 Aug →
anubis4–13-0.0214%20 Aug →
inferno9–13-0.0423%16 Aug →
inferno7–130.0415%11 Aug →
ancient2–130.0016%11 Aug →
dust213–6-0.0412%11 Aug →
mirage13–90.0316%7 Aug →
mirage9–130.049%7 Aug →
boulder13–10-0.0418%6 Aug →
anubis16–14-0.067%6 Aug →
mirage13–3-0.038%6 Aug →
mirage11–13-0.0015%2 Aug →
inferno16–130.0814%2 Aug →
cache9–13-0.074%2 Aug →
inferno11–130.026%1 Aug →
anubis8–130.0014%1 Aug →
dust28–13-0.0325%1 Aug →
nuke11–8-0.0410%31 Jul →
dust213–110.0225%31 Jul →
mirage6–130.0724%29 Jul →
dust21–13-0.0713%29 Jul →
cache2–13-0.0519%28 Jul →
anubis1–13-0.0219%28 Jul →
anubis8–13-0.086%28 Jul →
mirage0–8-0.0725%28 Jul →
nuke13–80.0315%28 Jul →
nuke13–110.0116%27 Jul →
mirage11–13-0.0612%27 Jul →
dust213–00.089%24 Jul →
inferno13–60.0611%24 Jul →
inferno9–130.0013%23 Jul →
ancient15–15-0.0118%23 Jul →
mirage8–13-0.0412%23 Jul →
ancient13–70.047%23 Jul →
inferno10–13-0.0216%22 Jul →
dust213–80.0314%22 Jul →
mirage13–10-0.0214%22 Jul →
inferno16–130.0318%22 Jul →
inferno5–13-0.0113%22 Jul →
cache13–9-0.0116%22 Jul →
inferno8–13-0.0412%22 Jul →
mirage13–10.0510%21 Jul →
mirage9–130.0117%20 Jul →
ancient8–13-0.0213%20 Jul →

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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