Gn Streaks

Gn Streaks — CS2 Stats

US76561199309211728[U:1:1348946000]Steam profile ↗✓ No bans

2,345Tracked matches71%Win rate2023Tracked since
1,854Hours in CS29Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating13,899Blue band · top ~34.2% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

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

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 21 days played since 23 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,899 -114 2 Sept3 Sept · 2 days played
13,89914,013peak 14,0132 Sept3 Sept
Faceit ELO: 834 +0 28 Aug2 Sept · 4 observations
834834peak 83428 Aug2 Sept
14,013Peak Premier in tracked matches
834Highest Faceit ELO seen on CSDB
21Days played since 2026-08-23

Faceit ELO

  • At peak — 834
  • Next: Level 4 at 901 67 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-28
  • Level 2 first seen 2026-08-28

Premier CS Rating

  • 114 below peak (14,013)
  • Next: Purple band at 15,000 1,101 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=19,543), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate55.1%41.9%44.3%above
Shot accuracy1.0%9.6%11.8%10.8% short
Kill/death ratio0.860.981.030.17 short
Match win rate43.4%43.8%45.2%1.9% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGn StreaksPREMIER13,899 · Blue bandPEAK ELO834csdb.gg/stats

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Performance scores

Aim62
Positioning48
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY56377Last 10056%Win rateTLLWLWWWWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.1pp headshot accuracy · +50ms reaction

Win rate 0pp 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

  • 131 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 20%
  • Avg reaction 592ms

Last 10

  • 631 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 601ms

Last 20

  • 1262 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 576ms

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 PlayerPositioning stands above the rest of this profile (+1.1 against its own average).

Aim6.2
Utility2.8
Positioning4.8
Opening Duels2.4
Clutch4.8

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

jL

Plays most like jL 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

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. 575ms 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

Aim6.2
Positioning4.8
Utility2.8
Mechanics5.7
Opening Duels3.5
Win Impact10.0

Composite 5.2/10 (Developing), 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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time570ms−27ms
first ⅓ avg 597ms → last ⅓ avg 570ms
Headshot accuracy19.1%+2.5%
first ⅓ avg 16.6% → last ⅓ avg 19.1%

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

0.12Best match rating · 10–0 · ancient, 17 Sept
37%Best headshot accuracy · 13–6 · ancient, 12 Sept
406msFastest reaction time · 13–11 · dust2, 12 Sept
13–2Biggest win · train, 14 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
88In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 86% over 7cacheWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B178947%-0.05
nukeC167944%-0.03
cacheD124833%-0.04
ancientS128467%-0.04
mirageS107370%0.01
trainS76186%-0.03
vertigoA53260%-0.05
infernoS54180%-0.03
anubis43175%-0.03
overpass32167%-0.04
shelter31233%-0.04
fachwerk21150%-0.07
office1010%-0.03
italy1010%-0.01
poseidon110100%0.03
boulder110100%-0.01

Across the last 100 tracked matches.

Lifetime stats

40,687Lifetime kills
0.86K/D
2,605Matches
43.4%Match win rate
55.1%Headshot % · Top 10% of Blue band
1.0%Shot accuracy
4,481MVPs
1,703Hours (in match)
1,055Bombs planted
610Bombs defused

Most-used weapons

Lifetime map wins

3,362nuke
2,699dust2
2,059inferno
2,050vertigo
1,142train
981office
113lake
87italy

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

Faceit stats

Combat

142Matches
42%Win rate
0.81Avg K/D
68.8ADR
44%Headshot %

Clutches & streaks

44%1v1 clutch win
26%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4544%0.8313.4
Ancient2744%0.8813.2
Nuke2241%0.9114.4
Dust21619%0.7312.6
Anubis956%0.8215.1
Inferno911%0.7011.1
Overpass875%0.619.9
Cache333%0.9414.3

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.

19.1%Headshot accuracy
32.1%Accuracy (enemy spotted)
32.9%Spray accuracy
75.5%Counter-strafing
9.9°Preaim
575msReaction time
45.5%T opening success
42.1%CT opening success
0.46Enemies flashed / flash
4.0%Flash assists
4.34HE damage / grenade
2.74Flashes / 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 0.4636 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Cache

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.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
office12–12-0.0313%18 Sept
vertigo8–13-0.1120%18 Sept
cache9–13-0.0727%18 Sept
nuke13–6-0.0522%18 Sept
cache10–13-0.0517%18 Sept
overpass13–4-0.0310%17 Sept
anubis13–6-0.0615%17 Sept
ancient10–00.1227%17 Sept
dust213–11-0.068%17 Sept
vertigo11–6-0.0514%17 Sept
dust212–12-0.0314%14 Sept
train13–2-0.0319%14 Sept
cache8–130.0434%14 Sept
dust213–4-0.098%14 Sept
mirage13–30.0314%14 Sept
nuke13–40.0223%14 Sept
italy11–13-0.0123%13 Sept
inferno13–8-0.0310%12 Sept
cache2–7-0.0610%12 Sept
ancient13–6-0.0637%12 Sept
shelter13–8-0.0317%12 Sept
cache13–3-0.0123%12 Sept
mirage13–70.0319%12 Sept
overpass13–11-0.0423%12 Sept
nuke5–13-0.0721%12 Sept
dust213–11-0.0520%12 Sept
ancient3–13-0.0811%9 Sept
cache13–9-0.0713%9 Sept
mirage13–70.0722%8 Sept
mirage13–110.1034%6 Sept
dust213–2-0.0124%5 Sept
ancient13–10-0.0816%5 Sept
vertigo13–5-0.0921%5 Sept
cache11–13-0.0226%5 Sept
mirage11–13-0.0218%5 Sept
dust28–13-0.0811%4 Sept
mirage13–7-0.0822%4 Sept
nuke7–13-0.0816%4 Sept
cache8–130.0132%3 Sept
shelter3–13-0.0719%3 Sept
nuke8–80.0419%3 Sept
ancient16–14-0.0613%2 Sept
dust27–13-0.0422%2 Sept
shelter3–13-0.039%2 Sept
anubis13–100.0523%2 Sept
train13–7-0.0126%2 Sept
ancient13–8-0.0611%2 Sept
dust23–13-0.0610%2 Sept
cache13–4-0.0132%2 Sept
nuke13–70.0422%2 Sept
fachwerk6–13-0.0723%31 Aug
cache3–13-0.0818%31 Aug
inferno11–13-0.087%31 Aug
dust213–9-0.0123%31 Aug
ancient12–12-0.0321%31 Aug
nuke6–13-0.0215%31 Aug
nuke12–120.0117%30 Aug
ancient13–4-0.0628%30 Aug
train13–60.0223%30 Aug
nuke6–13-0.0717%30 Aug
dust25–13-0.1020%30 Aug
nuke13–9-0.0211%30 Aug
dust211–13-0.0316%29 Aug
overpass11–13-0.0517%29 Aug
dust213–4-0.0514%29 Aug
inferno13–10-0.0629%29 Aug
anubis13–8-0.0415%29 Aug
dust213–70.0425%29 Aug
vertigo8–13-0.0522%29 Aug
mirage13–8-0.0320%29 Aug
train13–9-0.0610%29 Aug
ancient11–13-0.066%29 Aug
dust210–13-0.1019%29 Aug
nuke10–13-0.0618%29 Aug
cache7–13-0.0521%28 Aug
cache13–11-0.0810%27 Aug
inferno13–30.0215%27 Aug
dust210–13-0.0822%27 Aug
nuke4–13-0.0212%27 Aug
nuke13–40.0035%26 Aug
ancient13–11-0.0321%25 Aug
nuke13–3-0.0518%25 Aug
inferno13–3-0.027%25 Aug
dust212–12-0.0623%25 Aug
train13–3-0.0119%25 Aug
mirage13–9-0.0422%25 Aug
ancient8–13-0.0113%25 Aug
mirage9–130.0314%25 Aug
vertigo13–110.0321%24 Aug
train10–13-0.067%24 Aug
poseidon9–20.0317%24 Aug
nuke12–12-0.0511%24 Aug
boulder13–3-0.0129%24 Aug
mirage8–13-0.0121%24 Aug
nuke13–4-0.027%23 Aug
ancient9–3-0.085%23 Aug
dust213–6-0.0618%23 Aug
anubis0–2-0.050%23 Aug
train13–4-0.0718%23 Aug
fachwerk13–7-0.0722%23 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 →