xLpTx ♘

xLpTx ♘ — CS2 Stats

DE76561197997131056[U:1:36865328]Steam profile ↗

1,951Tracked matches53%Win rate2021Tracked since
4,994Hours in CS9Hrs last 2 wks
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating20,101Pink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#6323 of 14287 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGxLpTx ♘FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER20,101 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY47521Last 10047%Win rateWLLWLWLLWL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression6.6
Utility5.6
Positioning5.3
Opening Duels2.4

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 57% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim6.4
Positioning5.3
Utility5.6
Mechanics5.3
Opening Duels3.3
Win Impact6.1

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time568ms−16ms
first ⅓ avg 584ms → last ⅓ avg 568ms
Headshot accuracy22.2%+3.2%
first ⅓ avg 19.0% → last ⅓ avg 22.2%

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.

Highlights

0.10Best rating — ancient 13–5
130Biggest win — dust2
3Longest win streak
81In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 59% over 17dust2Weakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB27131448%-0.01
dust2C1761135%-0.02
ancientA1710759%0.03
anubisC125742%-0.03
cacheA127558%-0.01
nukeB115645%-0.02
mirage41325%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

96,456Lifetime kills
1.04K/D
5,290Matches
48.5%Match win rate · Top 50% of Pink band
42.3%Headshot %
12.1%Shot accuracy
12,100MVPs
2,530Hours (in match)
9,378Bombs planted
1,331Bombs defused

Most-used weapons

AK-4730,438
AWP8,954
FAMAS4,821
MP72,682
Tec-92,600

Lifetime map wins

35,602inferno
6,099dust2
2,886nuke
536train
359cbble
132dust
117vertigo
64aztec

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

Faceit stats

Combat

40Matches
45%Win rate
0.87Avg K/D
ADR
47%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno888%1.1416.3
Anubis633%0.8913.5
Dust240%0.6811.8
Ancient425%0.7915.3
Nuke425%0.609.5
Overpass2100%1.1612.0

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.

21.2%Headshot accuracy
30.8%Accuracy (enemy spotted)
35.4%Spray accuracy
73.7%Counter-strafing
9.9°Preaim
567msReaction time
22.3%T opening success
56.6%CT opening success
0.59Enemies flashed / flash
9.5%Flash assists
11.28HE damage / grenade
5.25Flashes / 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 22.2887% — below the 40% mark we flag

Spend your practice time on Dust 2

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–110.0514%27 Aug
nuke7–13-0.0322%22 Aug
dust213–160.0217%22 Aug
dust213–11-0.0421%17 Aug
inferno7–13-0.0221%17 Aug
nuke13–80.0014%17 Aug
anubis9–130.0123%15 Aug
inferno8–130.0028%15 Aug
ancient13–60.0415%15 Aug
cache7–13-0.0138%14 Aug
anubis13–11-0.0210%14 Aug
inferno7–13-0.0821%13 Aug
dust213–00.0630%13 Aug
inferno10–13-0.0326%6 Aug
ancient9–20.0539%5 Aug
dust23–13-0.0425%5 Aug
dust213–100.0220%4 Aug
ancient6–130.0126%4 Aug
inferno13–9-0.0415%3 Aug
inferno16–14-0.0120%2 Aug
inferno13–160.0125%2 Aug
anubis16–14-0.0421%2 Aug
nuke13–20.0833%2 Aug
ancient9–130.0424%2 Aug
anubis13–5-0.0113%2 Aug
ancient13–100.0521%1 Aug
ancient13–50.1010%1 Aug
dust29–13-0.0419%1 Aug
inferno8–130.0521%1 Aug
dust213–3-0.0224%23 Jul
nuke9–130.0129%23 Jul
inferno6–13-0.0721%23 Jul
inferno13–70.0329%23 Jul
mirage9–13-0.0133%22 Jul
ancient13–9-0.0413%22 Jul
dust27–13-0.0714%21 Jul
anubis4–130.0012%19 Jul
nuke4–13-0.0527%19 Jul
ancient13–10-0.0217%19 Jul
inferno16–120.0417%19 Jul
mirage5–130.0714%19 Jul
inferno13–60.0613%18 Jul
nuke7–13-0.1016%18 Jul
dust26–13-0.0321%18 Jul
dust27–13-0.0325%18 Jul
inferno13–7-0.0215%17 Jul
ancient13–3-0.0027%17 Jul
nuke13–1-0.0416%17 Jul
cache7–13-0.0418%17 Jul
cache13–10-0.0526%16 Jul
cache10–13-0.0533%16 Jul
ancient13–11-0.0123%16 Jul
inferno13–8-0.0144%16 Jul
nuke8–13-0.0024%15 Jul
dust210–13-0.0537%15 Jul
inferno5–13-0.1318%15 Jul
ancient9–130.0526%14 Jul
inferno13–60.0931%14 Jul
ancient6–20.0612%14 Jul
nuke13–30.0331%14 Jul
dust28–130.0533%13 Jul
cache13–90.0920%13 Jul
cache13–80.0718%13 Jul
nuke16–140.0421%13 Jul
ancient7–130.0826%13 Jul
inferno15–150.0115%12 Jul
nuke4–13-0.0913%12 Jul
inferno13–4-0.0115%12 Jul
anubis2–13-0.0410%12 Jul
ancient6–130.0433%12 Jul
anubis6–13-0.0714%12 Jul
anubis5–13-0.1012%11 Jul
cache10–13-0.0419%11 Jul
inferno13–9-0.056%11 Jul
dust213–10-0.0516%11 Jul
cache13–9-0.0720%11 Jul
dust29–13-0.0026%11 Jul
inferno2–13-0.0725%11 Jul
cache13–60.0319%11 Jul
dust25–13-0.0313%11 Jul
dust213–10-0.0616%11 Jul
inferno10–13-0.0415%9 Jul
inferno6–13-0.0415%9 Jul
cache13–00.0217%9 Jul
mirage8–13-0.0120%9 Jul
anubis13–4-0.0114%9 Jul
ancient13–110.0023%9 Jul
dust29–130.0417%9 Jul
cache10–13-0.0124%9 Jul
cache13–3-0.0142%8 Jul
inferno13–20.0422%7 Jul
anubis11–13-0.0215%6 Jul
inferno13–80.0022%5 Jul
anubis13–3-0.0610%5 Jul
mirage13–8-0.0125%5 Jul
ancient4–13-0.0529%2 Jul
inferno8–130.0014%1 Jul
ancient8–130.0413%1 Jul
anubis7–130.0124%1 Jul
inferno5–13-0.0825%30 Jun

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 →