♔ | Xpekt

♔ | Xpekt — CS2 Stats

SE76561198019036416[U:1:58770688]Steam profile ↗✓ No bans

1,636Tracked matches41%Win rate2021Tracked since
4,612Hours in CS7Hrs last 2 wks
CSDB Rating5.6 SolidSupport
FaceitLevel 8 · 1,737 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG♔ | XpektFACEITLevel 8 · 1,737 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning64
Utility65

0–100 skill scores via Leetify.

Recent form

COLD44–52–4Last 10044%Win rateWLLLTWLWLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.8pp headshot accuracy · −85ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 497ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 514ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 557ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim7.0
Utility6.5
Positioning6.4
Opening Duels4.3
Clutch3.0

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

ZywOo

Plays most like ZywOo 82% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 577ms 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

Aim7.0
Positioning6.4
Utility6.5
Mechanics6.2
Opening Duels4.0
Win Impact2.1

Composite 5.6/10 (Solid), 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-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time576ms−6ms
first ⅓ avg 582ms → last ⅓ avg 576ms
Headshot accuracy18.1%−0.3%
first ⅓ avg 18.4% → last ⅓ avg 18.1%

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

0.15Best match rating · 11–2 · dust2, 22 Mar →
33%Best headshot accuracy · 13–3 · dust2, 18 Mar →
367msFastest reaction time · 2–13 · inferno, 9 Dec →
13–0Biggest win · anubis, 8 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–9In matches decided by ≤2 rounds
17Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%-0.00
dust2C207–1335%0.00
anubisC177–1041%0.01
nukeS1611–569%-0.00
infernoD121–118%-0.03
ancientD62–433%-0.01
cacheS54–180%0.02
vertigo—10–10%-0.02
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,785Lifetime kills
1.03K/D
4,481Matches
46.1%Match win rate
43.5%Headshot %
13.6%Shot accuracy
11,285MVPs
2,115Hours (in match)
6,818Bombs planted
1,624Bombs defused

Most-used weapons

AK-4732,219
AWP7,941
P2502,564
MP92,022
Knife1,840
MAC-101,835

Lifetime map wins

9,218inferno
5,233dust2
5,085nuke
1,487vertigo
813train
694cbble
113dust
44office

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

Faceit stats

Combat

1,602Matches
51%Win rate
1.04Avg K/D
74.0ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage23449%1.0014.3
Nuke9951%1.0114.3
Dust29747%1.0013.5
Ancient8547%0.9715.5
Anubis8451%1.0814.6
Inferno5847%0.9812.9
Overpass4058%0.9112.8
Cache2045%1.0415.4

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.

18.1%Headshot accuracy
33.0%Accuracy (enemy spotted)
36.2%Spray accuracy
77.9%Counter-strafing
8.6°Preaim
577msReaction time
44.1%T opening success
48.3%CT opening success
0.57Enemies flashed / flash
5.5%Flash assists
8.65HE damage / grenade
15.32Flashes / 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.

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–90.004%14 Nov →
vertigo5–13-0.0222%12 Nov →
ancient7–13-0.0418%24 Oct →
dust21–130.0727%23 Oct →
anubis15–15-0.0321%20 Oct →
cache13–80.0218%18 Sept →
anubis6–13-0.0516%18 Sept →
anubis13–70.0118%15 Aug →
inferno11–13-0.0118%13 Aug →
ancient14–160.0215%12 Aug →
ancient10–13-0.059%12 Aug →
nuke10–130.0623%11 Aug →
inferno12–16-0.0719%8 Aug →
ancient3–13-0.0718%7 Aug →
cache16–13-0.0017%5 Aug →
nuke17–19-0.0119%2 Aug →
mirage13–5-0.0626%31 Jul →
nuke13–30.0522%31 Jul →
nuke4–13-0.0417%30 Jul →
inferno13–4-0.0014%30 Jul →
mirage8–13-0.069%30 Jul →
nuke9–13-0.0517%30 Jul →
anubis13–40.0525%30 Jul →
mirage11–13-0.0421%30 Jul →
anubis13–16-0.0216%29 Jul →
anubis13–40.1122%29 Jul →
cache16–120.0219%28 Jul →
mirage13–40.0221%28 Jul →
dust23–13-0.0721%28 Jul →
mirage13–100.0122%28 Jul →
nuke13–5-0.0421%21 Jul →
mirage10–50.068%21 Jul →
dust213–110.0017%19 Jul →
mirage13–70.0316%2 Jul →
dust213–70.0421%2 Jul →
nuke13–60.0126%23 Jun →
nuke13–6-0.0021%22 Jun →
dust211–13-0.0315%20 Jun →
anubis3–13-0.0117%20 Jun →
overpass13–5-0.0228%19 Jun →
mirage14–160.0512%16 May →
cache11–130.0114%6 May →
inferno6–13-0.0321%5 May →
inferno9–13-0.0313%1 May →
dust213–70.0224%1 May →
mirage9–130.0122%1 May →
cache13–30.0632%1 May →
dust212–16-0.0612%1 Apr →
mirage8–130.0424%1 Apr →
anubis13–30.1318%22 Mar →
dust211–20.1522%22 Mar →
nuke13–20.029%21 Mar →
dust213–30.0433%18 Mar →
mirage10–13-0.0223%18 Mar →
dust29–13-0.0319%18 Mar →
inferno6–13-0.0611%17 Mar →
inferno8–13-0.0011%16 Mar →
inferno9–130.0414%16 Mar →
dust213–30.0624%16 Mar →
ancient13–50.1010%16 Mar →
anubis16–130.0715%15 Mar →
dust213–160.0613%15 Mar →
mirage13–80.0026%11 Mar →
nuke3–130.0015%7 Mar →
mirage13–10-0.0022%6 Mar →
inferno7–13-0.0317%5 Mar →
anubis10–13-0.067%18 Feb →
dust25–13-0.0316%18 Feb →
anubis10–130.0022%10 Jan →
mirage16–120.0622%6 Jan →
dust23–13-0.0215%14 Dec →
inferno10–13-0.049%14 Dec →
inferno2–13-0.0729%9 Dec →
mirage13–60.059%9 Dec →
nuke13–100.0121%25 Nov →
mirage10–13-0.0324%25 Nov →
mirage10–13-0.0426%16 Nov →
nuke13–110.0314%12 Nov →
mirage6–13-0.0733%27 Oct →
dust210–13-0.0413%11 Oct →
nuke13–90.0425%30 Sept →
nuke16–14-0.0713%29 Aug →
mirage13–9-0.0216%24 Aug →
mirage13–100.0220%31 Jul →
inferno10–130.0023%31 Jul →
anubis11–13-0.039%26 Jul →
dust29–13-0.0521%22 Jul →
mirage5–13-0.0518%17 Jul →
anubis7–13-0.068%8 Jun →
anubis13–00.1025%8 Jun →
nuke13–10-0.0413%7 Jun →
dust28–130.0024%31 May →
anubis15–150.0222%31 May →
dust213–9-0.0214%27 May →
ancient16–14-0.0414%22 May →
mirage12–12-0.0524%19 May →
dust215–15-0.0117%10 May →
anubis11–13-0.049%23 Apr →
dust27–13-0.0223%14 Apr →
nuke16–140.0216%5 Apr →

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 →

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