OUTL4W

OUTL4W — CS2 Stats

CH76561198204622895[U:1:244357167]Steam profile ↗✓ No bans

1,781Tracked matches60%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
CSDB Leaderboard#66567 of 228048 tracked
FaceitLevel 10 · 2,088 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
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. 65 days played since 23 Feb 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,632 +3,066 20 Mar12 May · 9 days played
17,36720,632peak 20,63220 Mar12 May
20,632Peak Premier in tracked matches
2,088Highest Faceit ELO seen on CSDB
65Days played since 2025-02-23

Faceit ELO

  • At peak — 2,088
  • Next: 2,500 ELO at 2,500 412 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

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CSDB.GGOUTL4WFACEITLevel 10 · 2,088 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,088csdb.gg/stats

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Performance scores

Aim64
Positioning63
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY55423Last 10055%Win rateWLLWLWWWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.3pp headshot accuracy · +11ms 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

  • 23 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 672ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 620ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 614ms

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: Positional PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim6.4
Utility6.2
Positioning6.3
Opening Duels4.7
Clutch4.0

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

jL

Plays most like jL 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 599ms 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
Positioning6.3
Utility6.2
Mechanics5.8
Opening Duels3.8
Win Impact8.3

Composite 6.2/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time598ms+10ms
first ⅓ avg 588ms → last ⅓ avg 598ms
Headshot accuracy22.0%−5.4%
first ⅓ avg 27.4% → last ⅓ avg 22.0%

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

0.14Best match rating · 11–13 · mirage, 23 May
50%Best headshot accuracy · 2–13 · ancient, 3 Jun
430msFastest reaction time · 13–6 · ancient, 20 Mar
13–0Biggest win · mirage, 22 Mar

Across the last 100 tracked matches.

Highlights

5Longest win streak
96In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
ancientA1911858%0.02
mirageC1981142%0.03
dust2S1813572%0.02
anubisC167944%0.01
infernoC135838%0.02
nukeS86275%-0.00
overpass42250%0.01
vertigo220100%0.05
train110100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,226Matches
51%Win rate
1.02Avg K/D
75.8ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage29754%1.0814.7
Ancient16053%1.0914.8
Anubis14352%1.0815.7
Inferno10143%1.0115.2
Dust26745%1.0915.4
Nuke2737%0.9615.2
Overpass1650%1.0415.4
Vertigo1145%0.8613.9

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.

21.3%Headshot accuracy
31.3%Accuracy (enemy spotted)
33.1%Spray accuracy
75.9%Counter-strafing
9.1°Preaim
599msReaction time
47.9%T opening success
42.8%CT opening success
0.63Enemies flashed / flash
11.9%Flash assists
10.79HE damage / grenade
7.74Flashes / 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–80.0129%2 Jul
inferno13–160.0416%2 Jul
ancient6–13-0.0231%1 Jul
dust213–100.0116%23 Jun
ancient6–13-0.0319%23 Jun
dust213–5-0.0124%23 Jun
mirage13–110.0333%22 Jun
ancient13–110.0329%9 Jun
ancient10–130.0621%8 Jun
ancient13–50.0421%8 Jun
mirage13–9-0.0219%4 Jun
ancient2–130.0650%3 Jun
anubis13–40.0116%2 Jun
anubis17–19-0.0214%2 Jun
dust213–110.0521%26 May
anubis9–13-0.0417%21 May
mirage13–10.1034%21 May
dust216–14-0.0224%16 May
overpass13–6-0.0217%17 Mar
dust213–9-0.0225%17 Mar
inferno10–13-0.0118%17 Mar
ancient13–60.0813%11 Mar
inferno6–13-0.0129%11 Mar
anubis18–22-0.0012%5 Mar
dust219–170.0114%25 Feb
anubis13–10-0.0114%24 Feb
ancient13–100.0624%16 Feb
inferno11–130.0125%16 Jan
anubis13–60.0218%15 Jan
ancient8–13-0.0423%15 Jan
anubis19–22-0.0015%12 Jan
dust213–90.0426%9 Jan
ancient13–60.0917%4 Jan
mirage13–100.0330%17 Dec
dust29–13-0.0123%13 Dec
anubis2–13-0.0329%11 Dec
overpass13–90.0225%10 Dec
dust212–120.0323%10 Dec
dust28–130.0126%9 Dec
ancient3–13-0.0216%9 Dec
mirage5–13-0.0122%4 Dec
mirage2–13-0.037%3 Dec
inferno4–130.0325%3 Dec
nuke3–130.0523%3 Dec
dust27–130.0523%3 Dec
mirage4–13-0.0721%3 Dec
nuke13–50.0219%2 Dec
overpass6–130.0133%2 Dec
mirage5–130.0215%2 Dec
inferno13–60.0616%2 Dec
dust213–110.0727%2 Dec
nuke13–80.0016%2 Dec
mirage12–160.0933%13 Oct
dust213–80.0730%11 Oct
train16–14-0.0428%7 Oct
overpass7–130.0126%22 Sept
dust213–8-0.0224%17 Sept
inferno13–90.0825%15 Sept
inferno9–130.0018%11 Jun
mirage11–130.1425%23 May
ancient16–14-0.0318%12 May
mirage12–12-0.0244%30 Apr
mirage8–130.0440%30 Apr
ancient13–4-0.0515%29 Apr
ancient7–13-0.0411%25 Apr
dust213–100.0216%24 Apr
mirage11–12-0.0129%22 Apr
anubis13–9-0.0025%10 Apr
inferno5–13-0.0326%8 Apr
inferno13–8-0.0323%8 Apr
anubis12–160.0325%6 Apr
mirage11–130.0339%6 Apr
inferno13–10-0.0632%5 Apr
vertigo10–00.0150%5 Apr
ancient13–70.0526%2 Apr
anubis7–130.0232%1 Apr
mirage13–30.0413%25 Mar
nuke13–50.0319%24 Mar
anubis16–12-0.0221%24 Mar
ancient14–160.0218%24 Mar
dust213–80.0424%22 Mar
mirage13–00.0827%22 Mar
anubis13–50.0640%21 Mar
anubis4–130.1125%21 Mar
mirage13–30.0428%20 Mar
ancient13–60.0827%20 Mar
inferno6–130.0219%20 Mar
inferno13–100.1033%19 Mar
mirage13–100.0425%19 Mar
ancient16–130.0621%19 Mar
dust29–130.0329%18 Mar
mirage12–120.0231%14 Mar
nuke13–100.0724%14 Mar
nuke13–10-0.0235%13 Mar
ancient13–110.0731%12 Mar
nuke13–4-0.1244%7 Mar
vertigo13–10.0825%4 Mar
anubis5–13-0.0322%25 Feb
nuke3–13-0.0523%23 Feb
dust216–130.0128%23 Feb

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →