SeksiB

SeksiB — CS2 Stats

76561198969763799[U:1:1009498071]Steam profile ↗✓ No bans

1,554Tracked matches60%Win rate2020Tracked since
3,109Hours in CS
CSDB Rating6.7 SolidPositional Player
FaceitLevel 10 · 2,422 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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 rate51.1%50.9%
Shot accuracy16.1%13.7%
Kill/death ratio1.191.09
Match win rate47.3%48.4%

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CSDB.GGSeksiBFACEITLevel 10 · 2,422 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning85
Utility60

0–100 skill scores via Leetify.

Recent form

HOT52–47–1Last 10052%Win rateWWWWWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · +3.4pp headshot accuracy · +43ms reaction

Win rate up 50pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 28%
  • Avg reaction 513ms

Last 10

  • 10–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 519ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 497ms

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 (+2.2 against its own average).

Aim6.6
Utility6.0
Positioning8.5
Opening Duels7.5
Clutch3.2

Strong positioning

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

s1mple

Plays most like s1mple 74% playstyle similarity

Most alike: utility contribution, 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

Strengths

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Counter-strafing. Only 64% 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

Aim6.6
Positioning8.5
Utility6.0
Mechanics3.2
Opening Duels8.5
Win Impact8.3

Composite 6.7/10 (Solid), 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 rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time546ms−49ms
first ⅓ avg 595ms → last ⅓ avg 546ms
Headshot accuracy25.3%−4.3%
first ⅓ avg 29.6% → last ⅓ avg 25.3%

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

0.15Best match rating · 13–7 · ancient, 23 Dec →
67%Best headshot accuracy · 1–9 · inferno, 14 Mar →
398msFastest reaction time · 13–10 · ancient, 13 Oct →
13–0Biggest win · ancient, 2 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W10Current streak
8–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC219–1243%0.03
nukeA1911–858%0.04
ancientA148–657%0.03
dust2B147–750%0.04
infernoC114–736%0.01
anubisS86–275%0.02
vertigo—42–250%-0.00
train—42–250%-0.00
cache—20–20%0.02
overpass—22–0100%0.09
office—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

160,538Lifetime kills
1.19K/D · Top 50% of Level 10 players
5,818Matches
47.3%Match win rate
51.1%Headshot % · Top 50% of Level 10 players
16.1%Shot accuracy · Top 50% of Level 10 players
22,476MVPs
3,109Hours (in match)
3,614Bombs planted
2,976Bombs defused

Most-used weapons

AK-4746,744
AWP31,719
Knife5,045
SSG 083,000
SG 5532,197
MP91,614

Lifetime map wins

8,878inferno
5,914vertigo
5,873nuke
4,542dust2
4,180train
712cbble
360lake
184office

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

Faceit stats

Combat

1,594Matches
52%Win rate
1.22Avg K/D
86.7ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
29%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage15945%1.1117.2
Ancient13555%1.2217.5
Nuke9459%1.1518.4
Inferno7948%1.1517.7
Anubis7853%1.1718.1
Dust27158%1.1317.9
Vertigo3465%1.2019.3
Train2143%1.0716.5

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.

24.5%Headshot accuracy
32.7%Accuracy (enemy spotted)
34.2%Spray accuracy
64.4%Counter-strafing
10.1°Preaim
525msReaction time
60.9%T opening success
67.3%CT opening success
0.61Enemies flashed / flash
11.3%Flash assists
8.71HE damage / grenade
7.52Flashes / match

Recommended for you

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–80.0334%18 Oct →
ancient13–70.0929%18 Oct →
inferno13–100.0916%18 Oct →
nuke13–50.0730%18 Oct →
ancient13–11-0.0532%17 Oct →
nuke16–12-0.0128%16 Oct →
vertigo13–90.0225%16 Oct →
nuke16–120.0320%16 Oct →
anubis13–10-0.0426%16 Oct →
anubis13–110.0520%16 Oct →
mirage7–13-0.0334%14 Oct →
ancient13–100.0219%13 Oct →
mirage16–120.0021%13 Oct →
anubis13–6-0.0120%13 Oct →
inferno10–13-0.0314%11 Oct →
inferno14–160.0313%6 Oct →
mirage13–110.0633%5 Oct →
ancient3–130.0116%3 Oct →
ancient13–9-0.0330%29 Sept →
ancient10–130.0924%25 Sept →
ancient7–13-0.0228%20 Sept →
inferno13–60.1018%20 Sept →
mirage13–50.0311%20 Sept →
inferno10–130.0333%20 Sept →
mirage7–130.0525%14 Sept →
mirage0–13-0.100%10 Sept →
mirage10–130.0625%8 Sept →
nuke8–13-0.0152%8 Sept →
ancient13–110.1030%3 Sept →
ancient20–22-0.0223%23 Aug →
vertigo22–180.0329%22 Aug →
anubis13–60.0836%9 Aug →
dust24–130.0441%2 Aug →
ancient13–00.0840%2 Aug →
nuke13–90.0138%2 Aug →
mirage13–100.1525%2 Aug →
dust213–80.0325%2 Aug →
mirage7–13-0.0122%4 Jul →
inferno13–90.0223%4 Jul →
dust213–3-0.0340%12 Jun →
mirage10–13-0.0229%6 Jun →
cache4–13-0.0229%6 Jun →
anubis4–130.0024%2 Jun →
nuke10–10.0418%16 May →
nuke13–70.0736%8 May →
cache11–130.0624%8 May →
ancient13–2-0.0718%21 Apr →
inferno13–10-0.0037%29 Mar →
inferno1–9-0.1567%14 Mar →
overpass9–70.0927%14 Mar →
dust216–140.0437%22 Feb →
ancient14–160.0123%15 Feb →
nuke14–16-0.0321%15 Feb →
dust213–100.0128%14 Feb →
mirage13–100.0522%8 Feb →
dust212–160.0337%7 Feb →
inferno8–13-0.0617%7 Feb →
dust29–130.0832%31 Jan →
nuke13–90.0926%31 Jan →
inferno8–130.0937%31 Jan →
overpass13–40.0935%31 Jan →
dust213–30.1126%31 Jan →
nuke2–130.0429%31 Jan →
nuke13–160.0334%31 Jan →
mirage13–90.0918%31 Jan →
dust28–130.0742%31 Jan →
ancient6–130.0757%30 Jan →
nuke13–3-0.0129%25 Jan →
anubis16–190.0224%11 Jan →
dust213–90.0735%10 Jan →
mirage5–13-0.0223%25 Dec →
ancient13–70.1524%23 Dec →
nuke13–80.1437%23 Dec →
mirage6–130.0717%23 Dec →
nuke7–130.0430%22 Dec →
dust211–13-0.0431%19 Dec →
dust213–110.0938%19 Dec →
mirage13–80.0527%19 Dec →
mirage9–130.0227%17 Dec →
train2–13-0.115%12 Nov →
train13–100.0139%9 Nov →
nuke5–130.0235%9 Nov →
inferno9–13-0.0526%6 Nov →
dust210–130.0230%6 Nov →
train13–70.0738%5 Nov →
mirage6–1-0.0650%1 Nov →
train1–13-0.0050%25 Oct →
nuke11–130.0825%24 Oct →
mirage15–150.0230%24 Oct →
mirage1–130.0356%24 Oct →
vertigo11–13-0.0218%24 Oct →
mirage13–80.0524%23 Oct →
nuke13–11-0.0230%21 Oct →
mirage7–130.0734%21 Oct →
dust29–130.0529%21 Oct →
nuke0–30.000%21 Oct →
nuke13–90.1129%20 Oct →
office13–30.0528%20 Oct →
vertigo4–13-0.0419%20 Oct →
anubis7–3-0.0142%20 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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