Xajting Barbequé

Xajting Barbequé — CS2 Stats

76561198030108357[U:1:69842629]Steam profile ↗✓ No bans

411Tracked matches56%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 56 days played since 11 Sep 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,006 +4,961 11 Sept20 Dec · 32 days played
10,04516,921peak 16,92111 Sept20 Dec
16,921Peak Premier in tracked matches
56Days played since 2024-09-11

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

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CSDB.GGXajting BarbequéFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning52
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51436Last 10051%Win rateLWWLWLLWWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +2.6pp 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 619ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 673ms

Last 20

  • 1181 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 654ms

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: SupportUtility contribution stands above the rest of this profile (+1.4 against its own average).

Aim6.7
Utility5.6
Positioning5.2
Opening Duels4.1
Clutch1.8

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 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 642ms 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
Positioning5.2
Utility5.6
Mechanics7.1
Opening Duels2.6
Win Impact6.9

Composite 5.9/10 (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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time638ms−2ms
first ⅓ avg 640ms → last ⅓ avg 638ms
Headshot accuracy17.9%−2.9%
first ⅓ avg 20.7% → last ⅓ avg 17.9%

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 · 13–7 · vertigo, 12 Sept
31%Best headshot accuracy · 13–7 · nuke, 11 Oct
469msFastest reaction time · 2–13 · nuke, 20 Nov
13–1Biggest win · nuke, 5 Feb

Across the last 100 tracked matches.

Highlights

5Longest win streak
137In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 67% over 9ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB24111346%0.01
nukeB21111052%0.02
ancientC1661038%0.01
overpassS96367%0.04
trainS96367%0.03
dust2C83538%0.01
mirage42250%0.01
cache31233%-0.01
vertigo330100%0.10
anubis21150%0.04
office110100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

36Matches
44%Win rate
1.20Avg K/D
76.1ADR
37%Headshot %

Clutches & streaks

29%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.8012.0
Nuke10%0.7311.0
Anubis10%1.0619.0
Ancient1100%1.5018.0

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.

17.5%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.0%Spray accuracy
81.8%Counter-strafing
9.8°Preaim
642msReaction time
32.8%T opening success
47.7%CT opening success
0.60Enemies flashed / flash
5.2%Flash assists
9.95HE damage / grenade
9.25Flashes / 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. 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 32.7892% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0516%2 Sept
inferno13–60.0023%2 Sept
inferno13–9-0.0215%15 May
cache9–13-0.0329%15 May
office13–60.0610%15 May
cache8–13-0.0225%15 May
inferno9–130.0421%30 Apr
cache13–40.0116%30 Apr
nuke16–14-0.0113%30 Apr
ancient13–11-0.0114%30 Apr
overpass13–70.0020%2 Mar
inferno10–13-0.0514%20 Dec
overpass13–11-0.0018%20 Dec
inferno16–14-0.0211%19 Dec
train15–150.0820%17 Dec
dust28–130.0814%17 Dec
ancient5–130.0216%17 Dec
nuke2–13-0.0110%20 Nov
overpass13–100.0516%20 Nov
overpass13–100.0216%11 Nov
dust27–13-0.0317%11 Nov
inferno6–130.0023%10 Nov
overpass15–150.0314%10 Nov
nuke13–80.0619%4 Nov
inferno9–130.0412%23 Oct
nuke13–110.0419%14 Oct
nuke15–15-0.0324%13 Oct
overpass13–20.0717%10 Sept
inferno13–40.0226%10 Sept
ancient14–160.0717%6 Aug
inferno16–140.0020%6 Aug
inferno13–11-0.0019%4 Aug
mirage6–130.0223%4 Aug
nuke10–130.0121%3 Aug
train13–100.0425%3 Aug
train16–140.0114%3 Aug
overpass13–20.0330%3 Aug
ancient7–13-0.0515%3 Aug
ancient3–13-0.0427%30 Jul
inferno13–110.0729%23 Jul
nuke10–13-0.049%23 Jul
inferno11–13-0.0330%23 Jul
overpass15–150.0821%22 Jul
nuke16–140.0214%22 Jul
inferno8–13-0.0116%22 Jul
train13–4-0.0423%7 Jun
nuke13–90.0823%3 Jun
ancient13–90.0110%9 May
anubis11–13-0.0312%9 May
mirage7–13-0.0318%6 Apr
nuke13–60.0417%3 Apr
inferno9–13-0.0021%3 Apr
ancient13–6-0.0013%3 Apr
inferno9–13-0.0218%31 Mar
inferno7–130.0424%31 Mar
train13–20.0522%31 Mar
dust213–7-0.0212%29 Mar
inferno8–130.0126%29 Mar
nuke5–13-0.0127%28 Mar
inferno7–13-0.0224%27 Mar
nuke13–100.0413%15 Mar
ancient13–8-0.0121%15 Mar
dust29–13-0.0418%14 Mar
dust216–140.0321%10 Mar
ancient13–100.0620%24 Feb
nuke0–13-0.0023%24 Feb
train13–110.0327%24 Feb
inferno13–50.0625%15 Feb
nuke13–100.0027%15 Feb
dust213–20.0720%15 Feb
inferno13–100.0126%13 Feb
ancient5–130.0526%11 Feb
train12–120.0118%7 Feb
ancient5–130.0313%7 Feb
nuke13–10.0727%5 Feb
ancient9–130.0524%2 Feb
inferno7–130.0219%29 Dec
train13–70.0729%7 Dec
vertigo16–140.0923%7 Dec
dust24–13-0.0128%7 Dec
ancient5–13-0.0317%6 Dec
nuke13–6-0.0022%30 Nov
mirage13–70.0421%30 Nov
inferno13–70.0317%19 Nov
train6–130.0217%15 Nov
overpass10–130.0714%15 Nov
ancient11–130.0417%13 Nov
anubis13–70.1126%18 Oct
nuke6–13-0.0421%18 Oct
nuke13–70.0331%11 Oct
nuke11–130.0723%24 Sept
nuke11–130.0422%20 Sept
vertigo13–60.069%17 Sept
inferno6–10.0619%17 Sept
nuke11–130.0119%16 Sept
inferno10–130.0629%16 Sept
mirage8–2-0.010%14 Sept
vertigo13–70.1618%12 Sept
dust215–15-0.0019%11 Sept
ancient13–60.0918%11 Sept

Match data via Leetify.

Recent teammates

Milestones

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