xlongw

xlongw — CS2 Stats

US76561198849837629[U:1:889571901]Steam profile ↗✓ No bans

257Tracked matches61%Win rate2020Tracked since
3,454Hours in CS1Hrs last 2 wks
CSDB Rating6.2 SolidClutch Specialist
FaceitLevel 7 · 1,526 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,526 → 1,526
+12Tracked matches · now 257
−2.6ppWin rate · 63.3% → 60.7%

Rating over time

Premier CS Rating: 22,578 +2,579 18 Jan – 4 Mar · 5 days played
19,99922,898peak 22,89818 Jan4 Mar
22,898Peak Premier in tracked matches
1,526Highest Faceit ELO seen on CSDB
55Days played since 2024-01-18

Faceit ELO

  • At peak — 1,526
  • Next: Level 8 at 1,531 — 5 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-28
  • Level 6 first seen 2026-08-28

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=13,885), 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 rate44.1%45.7%46.8%2.7% short
Shot accuracy17.1%12.7%13.0%above
Kill/death ratio1.971.051.06above
Match win rate58.9%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGxlongwFACEITLevel 7 · 1,526 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,526csdb.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

Aim71
Positioning63
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY64–26–10Last 10064%Win rateWTTLWLWWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.4pp headshot accuracy · −58ms 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 536ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 542ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 571ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.7 against its own average).

Aim7.1
Utility6.1
Positioning6.3
Opening Duels5.1
Clutch9.4

Strong CT-side openerReliable in 1v1s

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 88% 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim7.1
Positioning6.3
Utility6.1
Mechanics5.8
Opening Duels5.2
Win Impact8.6

Composite 6.2/10 (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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time596ms+4ms
first ⅓ avg 591ms → last ⅓ avg 596ms
Headshot accuracy20.1%−1.7%
first ⅓ avg 21.9% → last ⅓ avg 20.1%

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

0.25Best match rating · 13–3 · dust2, 29 Jan →
50%Best headshot accuracy · 5–13 · dust2, 29 Jan →
422msFastest reaction time · 12–2 · dust2, 7 Sept →
13–0Biggest win · inferno, 30 Jul →

Across the last 100 tracked matches.

Highlights

17Longest win streak
5–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 100% over 5anubisWeakest map · 57% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A3420–1459%0.03
mirageA2113–862%0.01
infernoS1913–668%0.03
anubisA74–357%-0.00
nukeS54–180%0.01
vertigoS55–0100%0.05
ancient—42–250%0.04
overpass—43–175%0.07
train—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (57% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

174,839Lifetime kills
1.97K/D · Top 5% of Level 7 players
4,240Matches
58.9%Match win rate · Top 5% of Level 7 players
44.1%Headshot %
17.1%Shot accuracy · Top 25% of Level 7 players
23,347MVPs
1,874Hours (in match)
2,964Bombs planted
2,858Bombs defused

Most-used weapons

AK-4759,767
AWP34,827
SG 5533,333
AUG2,683
FAMAS2,555

Lifetime map wins

12,165inferno
8,528dust2
2,233nuke
1,792vertigo
1,731train
180cbble
37lake
36office

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

Faceit stats

Combat

262Matches
55%Win rate
1.13Avg K/D
78.7ADR
40%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage475%1.1213.8
Dust23100%1.3317.0
Ancient250%1.7018.5
Inferno2100%1.7216.5
Overpass1100%1.0015.0
Train10%0.8315.0
Nuke10%0.578.0

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.

19.8%Headshot accuracy
35.9%Accuracy (enemy spotted)
38.9%Spray accuracy
75.9%Counter-strafing
9.9°Preaim
596msReaction time
41.6%T opening success
60.1%CT opening success
0.49Enemies flashed / flash
6.6%Flash assists
9.20HE damage / grenade
15.75Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4859 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–30.0729%23 Sept →
mirage12–120.0919%21 Sept →
dust212–120.0019%21 Sept →
dust23–13-0.053%21 Sept →
inferno13–40.0928%21 Sept →
dust26–13-0.0129%21 Sept →
inferno13–30.0816%7 Sept →
dust212–2-0.0033%7 Sept →
anubis11–13-0.0514%6 Sept →
dust26–13-0.0321%6 Sept →
dust213–60.0920%6 Sept →
dust210–130.0619%5 Sept →
dust211–13-0.0313%6 Jul →
inferno16–12-0.0421%14 Jun →
mirage13–10-0.0221%14 Jun →
inferno10–130.0827%14 Jun →
mirage4–13-0.078%13 Jun →
mirage13–110.0714%27 May →
mirage13–90.1219%22 May →
dust29–110.0323%18 May →
dust213–30.0718%4 May →
mirage4–13-0.0615%4 May →
nuke13–110.0325%21 Apr →
mirage13–70.0824%20 Apr →
dust27–13-0.0213%20 Apr →
mirage13–11-0.0216%19 Apr →
dust213–20.0933%19 Apr →
nuke13–5-0.0326%19 Apr →
mirage13–30.1024%18 Apr →
dust213–80.0312%18 Apr →
ancient1–4-0.0125%18 Apr →
anubis13–80.0219%16 Apr →
inferno13–100.1219%16 Apr →
dust27–130.0123%15 Apr →
anubis6–130.0122%15 Apr →
dust28–20.0011%15 Apr →
dust213–90.0717%14 Apr →
overpass13–40.2018%11 Apr →
dust213–70.0216%10 Apr →
inferno9–130.0122%7 Apr →
anubis13–4-0.0310%7 Apr →
mirage8–13-0.0718%31 Mar →
ancient12–120.0520%31 Mar →
inferno7–13-0.0319%24 Mar →
dust213–60.0227%22 Mar →
inferno12–12-0.0519%13 Mar →
inferno16–140.0218%13 Mar →
dust213–40.0612%13 Mar →
mirage12–120.0113%13 Mar →
inferno13–60.0216%13 Mar →
mirage13–30.1138%13 Mar →
overpass11–130.0717%12 Mar →
anubis10–13-0.0420%12 Mar →
inferno13–60.0314%12 Mar →
dust212–120.0215%12 Mar →
nuke8–13-0.0019%12 Mar →
mirage13–90.0425%12 Mar →
inferno13–90.0830%10 Mar →
inferno9–13-0.0324%10 Mar →
inferno11–130.0329%3 Mar →
dust212–120.0017%28 Feb →
dust213–60.1033%25 Feb →
dust213–60.0821%24 Feb →
mirage11–13-0.0234%24 Feb →
mirage12–120.0018%22 Feb →
dust213–100.0125%11 Feb →
anubis13–2-0.029%6 Feb →
dust213–8-0.0215%29 Jan →
dust213–9-0.0117%29 Jan →
dust25–13-0.0450%29 Jan →
mirage13–7-0.0326%29 Jan →
overpass13–40.0645%28 Jan →
dust213–60.0316%27 Jan →
ancient13–50.0629%27 Jan →
nuke13–90.0524%24 Jan →
dust213–90.0114%24 Jan →
dust27–130.0523%21 Jan →
dust213–6-0.0216%15 Oct →
inferno13–40.0412%8 Aug →
inferno13–00.076%30 Jul →
train15–15-0.0215%24 Jul →
dust215–15-0.0114%1 Mar →
mirage0–13-0.0913%1 Mar →
ancient13–60.0424%4 Feb →
dust213–110.1120%25 Oct →
mirage13–2-0.0340%4 Mar →
vertigo13–20.1127%14 Feb →
anubis13–10.1127%8 Feb →
inferno13–20.0816%31 Jan →
vertigo13–7-0.0227%29 Jan →
dust213–30.2527%29 Jan →
vertigo5–00.1225%21 Jan →
vertigo13–9-0.0016%20 Jan →
inferno13–80.1033%20 Jan →
mirage13–40.0523%20 Jan →
vertigo13–80.0515%20 Jan →
mirage13–4-0.033%20 Jan →
overpass13–6-0.0318%18 Jan →
nuke13–30.0119%18 Jan →
inferno13–8-0.0627%18 Jan →

Match data via Leetify.

Recent teammates

Milestones

100 Matches17-Win Streak
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.