sixsenan

sixsenan — CS2 Stats

76561199575290540[U:1:1615024812]Steam profile ↗✓ No bans

683Tracked matches67%Win rate2024Tracked since
1,173Hours in CS23Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating20,834Top 50% of 212,910 CSDB-tracked playersPink band · top ~7.6% of ranked players (population est.)
CSDB Leaderboard#71940 of 259624 tracked
FaceitLevel 10 · 1,509 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (2 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.

Rating over time

Premier CS Rating: 20,834 +253 24 Sept – 1 Nov · 5 days played
20,48621,158peak 21,15824 Sept1 Nov
21,268Peak Premier in tracked matches
2,032Highest Faceit ELO seen on CSDB
40Days played since 2026-08-24

Faceit ELO

  • 523 below peak (2,032)
  • Next: Level 8 at 1,531 — 22 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 7 first seen 2026-08-31
  • Level 6 first seen 2026-08-31

Premier CS Rating

  • 324 below peak (21,158)
  • -19 over 30 days · steady
  • Next: Red band at 25,000 — 4,166 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate81.3%50.9%
Shot accuracy0.0%13.7%
Kill/death ratio3.641.09
Match win rate46.8%48.4%

Share this profile

CSDB.GGsixsenanFACEITLevel 10 · 1,509 ELOSTANDINGTop 12.4% of rankedPREMIER20,834 · Pink bandPEAK ELO2,032csdb.gg/stats

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Performance scores

Aim79
Positioning64
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLWLLWWWWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −1.3pp headshot accuracy · −11ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 538ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 519ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 524ms

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 (+1.8 against its own average).

Aim7.9
Utility4.8
Positioning6.4
Opening Duels3.3
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

jL

Plays most like jL 95% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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.

T-side openings. Opening success drops from 49% on CT to 33% 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

Aim7.9
Positioning6.4
Utility4.8
Mechanics6.1
Opening Duels2.7
Win Impact10.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time539ms−28ms
first ⅓ avg 567ms → last ⅓ avg 539ms
Headshot accuracy22.9%−4.0%
first ⅓ avg 26.9% → last ⅓ avg 22.9%

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

0.16Best match rating · 13–2 · ancient, 18 Oct →
71%Best headshot accuracy · 1–13 · mirage, 27 Sept →
359msFastest reaction time · 13–4 · cache, 26 Oct →
13–0Biggest win · mirage, 13 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 64% over 25infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
anubisA2516–964%0.01
ancientA2414–1058%0.02
cacheA148–657%0.00
mirageB147–750%0.01
infernoD103–730%-0.01
nukeD62–433%-0.01
dust2C52–340%-0.01
vertigo—22–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,389Lifetime kills
3.64K/D · Top 1% of Level 10 players
1,144Matches
46.8%Match win rate
81.3%Headshot % · Top 1% of Level 10 players
0.0%Shot accuracy
2,713MVPs
688Hours (in match)
1,362Bombs planted
1,215Bombs defused

Most-used weapons

AK-4764,748
FAMAS4,273
MP71,719
MP91,288
AWP967

Lifetime map wins

1,445dust2
1,128inferno
1,004nuke
276vertigo
74train
26office
4italy
2ar_shoots

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

Faceit stats

Combat

476Matches
52%Win rate
1.08Avg K/D
75.8ADR
55%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient11961%1.0815.4
Anubis9059%1.2416.2
Mirage8243%1.1016.4
Dust24745%1.0514.7
Inferno4639%0.9914.7
Nuke3543%0.9614.5
Overpass2759%0.9114.0
Cache2748%1.0413.5

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.

22.7%Headshot accuracy
34.7%Accuracy (enemy spotted)
39.3%Spray accuracy
77.5%Counter-strafing
9.9°Preaim
539msReaction time
32.8%T opening success
48.6%CT opening success
0.34Enemies flashed / flash
3.4%Flash assists
8.89HE damage / grenade
12.21Flashes / 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 0.338 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.8439% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0422%2 Nov →
nuke13–50.0940%1 Nov →
cache8–13-0.0424%31 Oct →
ancient10–13-0.0314%31 Oct →
cache13–70.0928%29 Oct →
anubis16–140.0220%29 Oct →
ancient13–100.0323%28 Oct →
cache13–4-0.0514%26 Oct →
mirage5–110.0319%26 Oct →
ancient13–70.0113%25 Oct →
dust213–90.0237%25 Oct →
anubis13–11-0.0221%24 Oct →
ancient17–190.0019%23 Oct →
cache13–60.1133%21 Oct →
anubis13–11-0.0416%21 Oct →
mirage10–130.0424%21 Oct →
ancient6–13-0.0415%19 Oct →
anubis13–30.0923%19 Oct →
ancient12–160.0422%19 Oct →
anubis13–80.0120%19 Oct →
cache13–20.0515%18 Oct →
ancient13–20.1630%18 Oct →
mirage22–180.0719%18 Oct →
dust28–13-0.0424%18 Oct →
inferno8–130.0027%18 Oct →
ancient13–10-0.0126%18 Oct →
ancient13–9-0.0426%17 Oct →
vertigo13–7-0.0132%17 Oct →
anubis13–50.0518%17 Oct →
inferno13–40.0126%17 Oct →
cache7–13-0.0415%15 Oct →
dust25–130.0523%15 Oct →
ancient8–130.0429%13 Oct →
mirage13–00.0523%13 Oct →
nuke11–13-0.0226%12 Oct →
ancient6–13-0.0318%12 Oct →
cache7–13-0.0015%12 Oct →
cache13–90.0130%12 Oct →
anubis3–13-0.0430%11 Oct →
nuke7–130.0014%11 Oct →
anubis13–90.0438%11 Oct →
cache5–13-0.0220%9 Oct →
nuke13–9-0.0122%9 Oct →
inferno6–130.0219%9 Oct →
vertigo16–14-0.0221%9 Oct →
ancient13–40.1439%8 Oct →
anubis6–13-0.0521%7 Oct →
inferno13–11-0.0127%7 Oct →
mirage11–13-0.0231%7 Oct →
anubis10–13-0.0029%6 Oct →
anubis13–40.0126%6 Oct →
anubis13–60.0627%6 Oct →
anubis14–16-0.0228%5 Oct →
mirage6–13-0.0237%5 Oct →
inferno6–13-0.0226%5 Oct →
ancient6–130.0638%30 Sept →
inferno11–13-0.0034%28 Sept →
ancient13–10-0.0139%27 Sept →
mirage1–13-0.0171%27 Sept →
ancient13–100.0118%27 Sept →
ancient13–50.0029%24 Sept →
inferno14–160.0533%24 Sept →
ancient16–140.0032%24 Sept →
anubis14–16-0.0122%23 Sept →
anubis13–9-0.0213%23 Sept →
mirage13–16-0.0223%21 Sept →
ancient13–20.0931%21 Sept →
inferno9–13-0.0741%21 Sept →
dust213–8-0.0129%21 Sept →
ancient13–6-0.0015%21 Sept →
cache13–70.0339%21 Sept →
anubis16–120.0627%21 Sept →
anubis13–5-0.0618%20 Sept →
mirage13–5-0.0422%20 Sept →
ancient13–10.0843%18 Sept →
ancient13–16-0.0319%17 Sept →
anubis7–130.0435%17 Sept →
nuke7–13-0.1125%16 Sept →
anubis13–40.1128%15 Sept →
inferno4–13-0.1029%15 Sept →
mirage14–160.0123%15 Sept →
anubis10–130.0430%13 Sept →
cache13–4-0.0423%13 Sept →
nuke5–13-0.0431%13 Sept →
anubis13–11-0.0617%13 Sept →
anubis16–130.0531%13 Sept →
mirage13–80.0223%13 Sept →
ancient13–70.0530%12 Sept →
mirage13–90.0136%12 Sept →
ancient9–13-0.0118%9 Sept →
mirage13–50.0334%9 Sept →
anubis13–16-0.0420%9 Sept →
anubis1–13-0.0225%6 Sept →
cache7–13-0.0231%6 Sept →
dust211–13-0.0518%4 Sept →
inferno13–80.0427%30 Aug →
cache13–11-0.0230%30 Aug →
anubis13–40.1429%30 Aug →
ancient8–13-0.0820%24 Aug →
mirage13–90.0125%24 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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