Seluj78

Seluj78 — CS2 Stats

FR76561198297319467[U:1:337053739]Steam profile ↗✓ No bans

500Tracked matches71%Win rate2020Tracked since
1,824Hours in CS6Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
CSDB Leaderboard#94118 of 259480 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

+10Tracked matches · now 500
+12.2ppWin rate · 59.3% → 71.4%

Rating over time

Premier CS Rating: 19,402 +8,835 31 Jan – 28 Sept · 20 days played
10,10019,402peak 19,40231 Jan28 Sept
19,402Peak Premier in tracked matches
50Days played since 2025-11-09

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches111+10
Win rate64%0%+64pp
K/D1.051.24−0.18
Headshot %48%57%−9pp

Measured 28 Sep 2026 → 2 Nov 2026; previous 8 Sep 2026 → 28 Sep 2026.

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 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate41.8%40.9%41.3%meets
Shot accuracy16.7%14.2%12.7%above
Kill/death ratio0.990.950.95above
Match win rate43.4%42.1%42.6%above

Across every metric we can compare, this profile already matches the typical Level 2 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGSeluj78FACEITLevel 1STANDINGTop 100.0% of rankedcsdb.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

Aim84
Positioning69
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateWWLLWWWLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −3.0pp headshot accuracy · −38ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 555ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 511ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 530ms

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 (+1.4 against its own average).

Aim8.4
Utility3.6
Positioning6.9
Opening Duels6.1

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

donk

Plays most like donk 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

T openings. 65% T opening-duel success — entries that actually open the round.

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. 554ms 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

Aim8.4
Positioning6.9
Utility3.6
Mechanics7.0
Opening Duels7.2
Win Impact10.0

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time563ms−129ms
first ⅓ avg 691ms → last ⅓ avg 563ms
Headshot accuracy20.7%+4.0%
first ⅓ avg 16.8% → last ⅓ avg 20.7%

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

0.21Best match rating · 13–2 · ancient, 21 Jun →
43%Best headshot accuracy · 6–13 · nuke, 7 Feb →
430msFastest reaction time · 3–13 · mirage, 20 Oct →
13–0Biggest win · overpass, 28 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
5–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 80% over 5cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2210–1245%0.01
infernoA1912–763%0.02
ancientS139–469%0.01
mirageC135–838%0.01
nukeB105–550%0.01
cacheD71–614%-0.07
anubisS64–267%0.02
overpassS54–180%-0.01
vertigo—11–0100%-0.02
agency—10–10%-0.07
train—11–0100%-0.02
office—10–10%-0.04
italy—10–10%-0.04

Across the last 100 tracked matches.

Lifetime stats

53,514Lifetime kills
0.99K/D · Top 50% of Level 1 players
2,640Matches
43.4%Match win rate · Top 50% of Level 1 players
41.8%Headshot % · Top 50% of Level 1 players
16.7%Shot accuracy · Top 25% of Level 1 players
7,252MVPs
1,058Hours (in match)
2,966Bombs planted
876Bombs defused

Most-used weapons

AK-4719,139
AWP5,062
AUG4,092
MP72,130
SG 5531,399
FAMAS1,081
MAC-101,026

Lifetime map wins

4,911inferno
2,629lake
2,597dust2
1,563nuke
949vertigo
521cbble
448train
245office

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

Faceit stats

Combat

211Matches
48%Win rate
0.74Avg K/D
—ADR
31%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

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.

21.5%Headshot accuracy
35.5%Accuracy (enemy spotted)
37.6%Spray accuracy
81.7%Counter-strafing
7.5°Preaim
554msReaction time
65.1%T opening success
52.8%CT opening success
0.66Enemies flashed / flash
9.4%Flash assists
5.25HE damage / grenade
2.65Flashes / 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 2.6482 — below the 4 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–7-0.120%21 Oct →
mirage13–7-0.0617%21 Oct →
ancient11–130.0227%21 Oct →
dust210–13-0.030%21 Oct →
inferno13–9-0.0221%20 Oct →
inferno13–100.1124%20 Oct →
anubis13–110.0017%20 Oct →
mirage3–13-0.0024%20 Oct →
nuke13–80.0821%17 Oct →
dust213–40.0924%17 Oct →
nuke13–100.0515%3 Jul →
dust213–16-0.0221%28 Jun →
anubis13–70.0331%28 Jun →
dust29–13-0.0121%28 Jun →
anubis13–70.0824%28 Jun →
inferno13–10-0.0117%27 Jun →
dust213–100.0214%27 Jun →
anubis13–9-0.0030%27 Jun →
ancient13–70.0617%27 Jun →
dust213–9-0.0314%27 Jun →
inferno13–100.0220%27 Jun →
mirage7–130.0419%26 Jun →
nuke10–130.0418%26 Jun →
inferno5–130.0430%26 Jun →
overpass13–70.0524%21 Jun →
ancient13–20.2136%21 Jun →
dust215–150.0823%21 Jun →
mirage15–15-0.0131%18 Jun →
dust216–120.0436%17 Jun →
dust213–110.1219%17 Jun →
inferno13–90.0831%16 Jun →
cache5–13-0.065%2 May →
cache5–13-0.0916%2 May →
ancient13–20.0228%1 May →
cache10–13-0.077%1 May →
cache12–12-0.0117%1 May →
cache13–8-0.1021%1 May →
cache10–13-0.0615%1 May →
cache7–13-0.085%30 Apr →
inferno10–13-0.0919%31 Mar →
inferno2–70.025%13 Mar →
mirage12–120.0226%7 Mar →
ancient13–9-0.1010%27 Feb →
mirage13–2-0.0219%27 Feb →
mirage6–130.1431%21 Feb →
overpass12–12-0.0711%18 Feb →
nuke2–13-0.0228%17 Feb →
inferno8–130.0126%17 Feb →
ancient10–13-0.047%14 Feb →
dust213–60.0231%14 Feb →
vertigo13–3-0.0218%14 Feb →
dust210–130.0119%13 Feb →
inferno7–130.1731%13 Feb →
anubis8–130.0418%13 Feb →
overpass13–90.0120%13 Feb →
ancient13–100.0420%12 Feb →
dust27–13-0.0138%12 Feb →
mirage13–90.0322%12 Feb →
ancient8–13-0.0311%10 Feb →
ancient14–16-0.1213%8 Feb →
inferno13–1-0.018%8 Feb →
nuke13–5-0.068%7 Feb →
nuke6–130.0043%7 Feb →
mirage11–40.0214%4 Feb →
inferno13–30.0723%3 Feb →
inferno2–13-0.1018%3 Feb →
mirage13–90.0740%3 Feb →
overpass13–70.0512%2 Feb →
dust25–13-0.0216%31 Jan →
inferno13–60.1022%31 Jan →
ancient13–50.1928%30 Jan →
dust213–8-0.0120%29 Jan →
nuke13–60.0119%29 Jan →
inferno11–13-0.0111%29 Jan →
dust213–50.1028%28 Jan →
overpass13–0-0.0910%28 Jan →
dust29–130.0117%28 Jan →
ancient13–40.0015%28 Jan →
mirage9–13-0.0915%28 Jan →
dust215–150.0417%28 Jan →
inferno13–60.0728%27 Jan →
nuke13–70.0427%27 Jan →
inferno13–70.0427%27 Jan →
anubis8–13-0.038%22 Jan →
agency6–13-0.0716%17 Jan →
train13–11-0.028%16 Jan →
nuke11–13-0.039%15 Jan →
nuke4–13-0.0312%14 Jan →
inferno13–11-0.0417%10 Jan →
mirage3–10-0.0210%10 Jan →
dust213–8-0.018%9 Jan →
ancient13–11-0.0413%4 Jan →
dust213–80.0818%2 Jan →
mirage8–13-0.0419%25 Dec →
inferno13–70.0112%25 Dec →
dust211–13-0.0814%19 Dec →
office8–13-0.0411%7 Dec →
dust25–13-0.0842%18 Nov →
italy6–13-0.0415%16 Nov →
dust211–13-0.0811%9 Nov →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.