WarLxrd

WarLxrd — CS2 Stats

76561198172297819[U:1:212032091]Steam profile ↗✓ No bans

819Tracked matches42%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

+18Tracked matches · now 819
−17.7ppWin rate · 60.0% → 42.3%

Rating over time

33Days played since 2026-05-09

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim70
Positioning50
Utility55

0–100 skill scores via Leetify.

Recent form

COLD48–40–12Last 10048%Win rateLTLLLLWLLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −0.2pp headshot accuracy · −14ms reaction

Win rate down 30pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 614ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 26%
  • Avg reaction 591ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 26%
  • Avg reaction 598ms

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 (+1.8 against its own average).

Aim7.0
Utility5.5
Positioning5.0
Opening Duels0.9
Clutch3.4

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 632ms 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
Positioning5.0
Utility5.5
Mechanics7.7
Opening Duels1.2
Win Impact2.4

Composite 5.4/10 (Developing), 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 rating-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time633ms+2ms
first ⅓ avg 631ms → last ⅓ avg 633ms
Headshot accuracy27.8%+5.3%
first ⅓ avg 22.4% → last ⅓ avg 27.8%

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

0.23Best match rating · 9–2 · nuke, 24 Jun →
100%Best headshot accuracy · 7–8 · rush_001, 10 Oct →
414msFastest reaction time · 0–4 · rush_001, 10 Oct →
13–0Biggest win · cache, 21 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–2In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 62% over 26cacheWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
nukeA2616–1062%0.00
cacheD165–1131%0.01
infernoA127–558%-0.01
dust2C104–640%-0.00
mirageA106–460%0.01
anubisB84–450%-0.02
train—42–250%-0.04
ancient—41–325%-0.04
vertigo—41–325%-0.06
rush_001—20–20%-0.15
overpass—21–150%0.01
poseidon—10–10%0.01
office—11–0100%0.02

Across the last 100 tracked matches.

Faceit stats

Combat

179Matches
54%Win rate
1.18Avg K/D
87.2ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
29%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1942%1.3419.1
Inferno989%1.1617.4
Dust2956%1.0215.2
Anubis850%1.4018.1
Vertigo475%1.7217.8
Ancient425%1.1215.0
Nuke475%1.4413.8
Overpass1100%1.3013.0

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.

25.7%Headshot accuracy
33.3%Accuracy (enemy spotted)
33.9%Spray accuracy
84.4%Counter-strafing
11.4°Preaim
632msReaction time
35.0%T opening success
34.8%CT opening success
0.54Enemies flashed / flash
7.9%Flash assists
6.26HE damage / grenade
12.47Flashes / 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 34.9716% — below the 40% mark we flag

Spend your practice time on Cache

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0219%15 Oct →
mirage12–12-0.0016%15 Oct →
dust26–13-0.0120%14 Oct →
anubis2–13-0.0326%11 Oct →
inferno2–130.0117%11 Oct →
cache10–13-0.0520%11 Oct →
train13–2-0.0325%10 Oct →
nuke9–13-0.0719%10 Oct →
rush_0017–8-0.10100%10 Oct →
rush_0010–4-0.210%10 Oct →
inferno13–10-0.0725%9 Oct →
dust29–13-0.0140%3 Oct →
train13–11-0.0229%3 Oct →
nuke13–9-0.0124%23 Sept →
ancient9–13-0.0227%22 Sept →
inferno13–2-0.0715%22 Sept →
cache12–12-0.0126%20 Sept →
nuke10–13-0.0626%13 Sept →
inferno10–130.0134%5 Sept →
anubis5–13-0.0618%5 Sept →
dust213–5-0.0133%5 Sept →
nuke13–30.0626%5 Sept →
cache0–13-0.120%5 Jul →
mirage13–100.0237%3 Jul →
mirage13–110.0916%2 Jul →
inferno4–13-0.0940%1 Jul →
train12–12-0.0127%1 Jul →
cache13–10-0.0331%1 Jul →
cache4–130.0327%1 Jul →
cache2–00.1067%1 Jul →
nuke3–13-0.0332%1 Jul →
nuke12–12-0.0435%30 Jun →
inferno13–11-0.0318%30 Jun →
anubis13–5-0.0224%29 Jun →
nuke13–50.0530%26 Jun →
nuke13–10-0.0321%26 Jun →
nuke13–70.0520%24 Jun →
nuke12–12-0.0820%24 Jun →
nuke9–20.2332%24 Jun →
nuke9–20.1313%24 Jun →
inferno4–9-0.0519%24 Jun →
nuke8–80.0617%24 Jun →
overpass9–40.0933%24 Jun →
inferno9–10.1331%24 Jun →
inferno8–8-0.0615%24 Jun →
poseidon8–80.0119%24 Jun →
inferno9–20.1919%24 Jun →
mirage12–120.0424%23 Jun →
vertigo4–13-0.0122%23 Jun →
vertigo13–10-0.0315%23 Jun →
train9–13-0.0950%22 Jun →
overpass7–13-0.0626%21 Jun →
nuke13–7-0.0917%21 Jun →
mirage13–9-0.0026%21 Jun →
cache13–00.1226%21 Jun →
inferno13–7-0.0322%21 Jun →
anubis13–10.0626%21 Jun →
dust213–7-0.0415%21 Jun →
ancient13–9-0.0220%19 Jun →
cache9–13-0.0218%19 Jun →
anubis13–6-0.0142%16 Jun →
cache5–13-0.0423%16 Jun →
nuke8–8-0.1036%15 Jun →
cache7–13-0.0729%12 Jun →
anubis12–12-0.0532%12 Jun →
mirage4–13-0.0869%4 Jun →
ancient3–13-0.0927%4 Jun →
vertigo0–6-0.160%2 Jun →
nuke13–50.0124%2 Jun →
cache12–4-0.0118%2 Jun →
nuke13–9-0.0317%2 Jun →
nuke6–13-0.0134%2 Jun →
anubis13–9-0.0924%2 Jun →
nuke6–0-0.040%2 Jun →
dust23–13-0.0432%2 Jun →
mirage3–130.0122%2 Jun →
cache6–130.0120%2 Jun →
cache10–130.0137%19 May →
ancient6–13-0.0422%19 May →
mirage13–100.0226%19 May →
anubis8–130.0319%19 May →
dust210–13-0.0522%19 May →
cache13–50.0936%19 May →
mirage13–11-0.0518%19 May →
inferno13–3-0.0223%14 May →
office12–100.0229%14 May →
cache6–130.0727%11 May →
dust27–130.0320%11 May →
dust25–10.0745%11 May →
mirage13–70.0916%11 May →
dust213–50.0724%11 May →
cache12–120.0122%11 May →
vertigo6–13-0.0421%11 May →
nuke13–60.0316%10 May →
nuke13–10.1121%10 May →
nuke13–8-0.019%10 May →
nuke13–50.0328%10 May →
nuke13–100.0126%10 May →
nuke1–13-0.0521%9 May →
nuke6–13-0.0722%9 May →

Match data via Leetify.

Recent teammates

Milestones

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

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