sempiternal

sempiternal — CS2 Stats

76561197960496821[U:1:231093]Steam profile ↗✓ No bans

2,099Tracked matches52%Win rate2020Tracked since
3,606Hours in CS
CSDB Rating5.8 SolidPositional Player
FaceitLevel 7 · 1,427 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,427 → 1,427
+3Tracked matches · now 2,099
−3.4ppWin rate · 55.2% → 51.7%

Rating over time

Premier CS Rating: 17,544 -271 8 Jun – 18 Jun · 2 days played
17,54417,815peak 17,8158 Jun18 Jun
17,815Peak Premier in tracked matches
1,427Highest Faceit ELO seen on CSDB
37Days played since 2026-05-28

Faceit ELO

  • At peak — 1,427
  • Next: Level 8 at 1,531 — 104 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-10-18
  • Level 6 first seen 2026-10-18

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 Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate52.1%45.7%46.8%above
Shot accuracy12.4%12.7%13.0%0.6% short
Kill/death ratio1.161.051.06above
Match win rate44.8%45.7%46.3%1.5% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsempiternalFACEITLevel 7 · 1,427 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,427csdb.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

Aim67
Positioning67
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLLWWWLWLWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.2pp headshot accuracy · +69ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 683ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 630ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 595ms

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 against its own average).

Aim6.7
Utility6.6
Positioning6.7
Opening Duels5.0
Clutch4.6

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

Twistzz

Plays most like Twistzz 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 579ms 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

Aim6.7
Positioning6.7
Utility6.6
Mechanics5.9
Opening Duels6.2
Win Impact5.6

Composite 5.8/10 (Solid), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time583ms−36ms
first ⅓ avg 619ms → last ⅓ avg 583ms
Headshot accuracy24.2%+2.9%
first ⅓ avg 21.3% → 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

0.20Best match rating · 13–3 · mirage, 1 Oct →
40%Best headshot accuracy · 13–11 · dust2, 12 Sept →
414msFastest reaction time · 7–13 · inferno, 28 Aug →
13–1Biggest win · nuke, 5 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
9–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 67% over 12anubisWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B3115–1648%0.00
infernoA2314–961%0.01
nukeA127–558%-0.01
mirageS128–467%0.02
cacheA95–456%0.02
anubisC94–544%-0.02
ancient—41–325%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

186,317Lifetime kills
1.16K/D · Top 50% of Level 7 players
7,292Matches
44.8%Match win rate
52.1%Headshot % · Top 25% of Level 7 players
12.4%Shot accuracy
20,082MVPs
3,606Hours (in match)
12,090Bombs planted
1,940Bombs defused

Most-used weapons

AK-4758,077
AWP21,638
P2506,349
Tec-93,895
P903,871
SSG 083,549

Lifetime map wins

17,823inferno
17,297dust2
6,218nuke
2,209cbble
1,725train
563vertigo
289office
216italy

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

Faceit stats

Combat

1,613Matches
50%Win rate
1.22Avg K/D
87.9ADR
48%Headshot %

Clutches & streaks

43%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust26344%1.0916.5
Inferno5964%1.2818.3
Anubis4639%1.1518.4
Mirage3658%1.2218.1
Ancient2945%1.0816.9
Nuke2462%1.0616.3
Cache1242%1.2521.0
Train250%0.6712.0

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.

24.2%Headshot accuracy
31.4%Accuracy (enemy spotted)
34.1%Spray accuracy
76.7%Counter-strafing
10.4°Preaim
579msReaction time
56.4%T opening success
53.2%CT opening success
0.56Enemies flashed / flash
8.8%Flash assists
13.89HE damage / grenade
13.17Flashes / match

Recommended for you

Spend your practice time on Anubis

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–130.0122%26 Oct →
nuke10–13-0.0114%26 Oct →
inferno13–6-0.0128%26 Oct →
mirage13–110.0728%15 Oct →
dust213–80.1024%15 Oct →
inferno10–13-0.0232%15 Oct →
anubis13–60.0018%8 Oct →
dust211–13-0.0128%8 Oct →
inferno13–11-0.0019%8 Oct →
anubis5–130.0232%5 Oct →
dust213–80.0229%5 Oct →
inferno13–60.0318%5 Oct →
ancient6–13-0.0728%1 Oct →
mirage13–30.2027%1 Oct →
inferno11–13-0.0414%29 Sept →
ancient5–130.0433%29 Sept →
nuke6–130.0224%24 Sept →
cache13–100.0417%24 Sept →
mirage13–30.0423%24 Sept →
dust219–220.0421%14 Sept →
nuke11–13-0.0514%14 Sept →
dust213–110.0340%12 Sept →
inferno13–110.0425%12 Sept →
nuke19–16-0.0035%10 Sept →
inferno13–30.1035%10 Sept →
anubis11–130.0017%6 Sept →
dust211–130.0017%6 Sept →
inferno13–60.0620%6 Sept →
dust24–13-0.0619%4 Sept →
dust215–15-0.0327%3 Sept →
ancient13–110.0322%3 Sept →
dust213–6-0.0121%31 Aug →
dust22–13-0.0926%31 Aug →
cache13–80.0235%31 Aug →
nuke6–13-0.0625%31 Aug →
nuke16–14-0.0314%30 Aug →
ancient6–13-0.0440%30 Aug →
dust22–13-0.0527%30 Aug →
inferno13–60.0415%30 Aug →
inferno7–13-0.0136%28 Aug →
cache13–10-0.0214%28 Aug →
mirage14–16-0.0126%28 Aug →
cache13–90.0421%27 Aug →
mirage13–80.0020%27 Aug →
dust213–80.0124%27 Aug →
dust28–130.0339%24 Aug →
inferno7–13-0.0516%24 Aug →
inferno13–10-0.0129%23 Aug →
anubis13–10-0.0528%23 Aug →
dust213–70.0812%23 Aug →
nuke13–90.0425%23 Aug →
inferno3–13-0.1021%19 Aug →
mirage9–13-0.0417%18 Aug →
dust213–40.0314%18 Aug →
inferno10–13-0.0117%18 Aug →
anubis10–13-0.0521%13 Aug →
mirage13–80.0627%13 Aug →
dust213–40.1019%13 Aug →
cache7–130.0315%11 Aug →
anubis10–130.0223%11 Aug →
mirage13–60.0213%10 Aug →
inferno4–13-0.0813%10 Aug →
dust214–16-0.0417%10 Aug →
dust225–230.0622%6 Aug →
dust25–13-0.0122%6 Aug →
nuke13–1-0.0819%5 Aug →
anubis13–8-0.0420%5 Aug →
dust216–13-0.0126%5 Aug →
anubis16–13-0.0219%4 Aug →
mirage6–13-0.0321%4 Aug →
nuke6–13-0.0114%4 Aug →
dust216–13-0.0116%4 Aug →
dust213–60.0623%3 Aug →
inferno13–80.0417%3 Aug →
inferno6–130.0824%2 Aug →
dust24–13-0.0518%2 Aug →
nuke13–70.0229%1 Aug →
dust213–40.1429%1 Aug →
anubis5–13-0.049%1 Aug →
dust27–13-0.0628%1 Aug →
dust213–100.0030%1 Aug →
inferno16–14-0.0017%1 Aug →
dust213–7-0.0131%31 Jul →
inferno13–6-0.0117%23 Jul →
cache13–80.0830%20 Jun →
dust25–13-0.0430%20 Jun →
inferno5–130.0122%20 Jun →
cache5–13-0.0431%20 Jun →
nuke13–1-0.0118%20 Jun →
mirage16–13-0.0213%18 Jun →
nuke13–60.0423%18 Jun →
dust25–13-0.0522%18 Jun →
inferno13–50.0411%8 Jun →
mirage5–13-0.0413%8 Jun →
inferno13–11-0.0321%8 Jun →
dust211–13-0.0220%4 Jun →
dust214–16-0.0130%4 Jun →
cache10–130.0216%4 Jun →
inferno19–150.0616%4 Jun →
mirage13–100.0220%28 May →

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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