laser

laser — CS2 Stats

76561198026806052[U:1:66540324]Steam profile ↗✓ No bans

228Tracked matches40%Win rate2021Tracked since
741Hours in CS
CSDB Rating3.9 LearningAll-Rounder
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 42 days played since 6 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 11,305 -1,241 18 Aug7 Nov · 29 days played
11,30514,152peak 14,15218 Aug7 Nov
14,186Peak Premier in tracked matches
42Days played since 2025-08-06

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 30 Aug 2026 and 24 Sep 2026.

Measured 30 Aug 202624 Sep 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim26
Positioning53
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY45532Last 10045%Win rateWWLLLWWWWL

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −2.1pp headshot accuracy · −95ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 577ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 606ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • 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: All-RounderNo style dimension stands clear of the others in this profile.

Aim2.6
Utility4.9
Positioning5.3
Opening Duels3.4

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

jL

Plays most like jL 54% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 656ms 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

Aim2.6
Positioning5.3
Utility4.9
Mechanics5.1
Opening Duels3.4
Win Impact1.7

Composite 3.9/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time651ms−30ms
first ⅓ avg 681ms → last ⅓ avg 651ms
Headshot accuracy15.3%+1.5%
first ⅓ avg 13.7% → last ⅓ avg 15.3%

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

0.09Best match rating · 13–2 · anubis, 25 Sept
32%Best headshot accuracy · 5–13 · mirage, 27 Oct
469msFastest reaction time · 7–13 · nuke, 18 Aug
13–1Biggest win · train, 9 Oct

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
76In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 67% over 9mirageWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC2391439%-0.02
mirageD1631319%-0.02
nukeB158753%-0.03
ancientB157847%-0.01
overpassB136746%-0.02
trainS96367%-0.02
anubis21150%-0.01
cache21150%-0.01
vertigo21150%0.02
boulder110100%-0.03
fachwerk110100%0.04
dust2110100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,977Lifetime kills
0.94K/D
1,579Matches
35.1%Match win rate
37.9%Headshot %
18.0%Shot accuracy · Top 10% of tracked players
2,967MVPs
741Hours (in match)
1,448Bombs planted
456Bombs defused

Most-used weapons

Lifetime map wins

2,750inferno
1,658nuke
1,238train
690vertigo
239cbble
222dust2
17office
9lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.8%Headshot accuracy
28.4%Accuracy (enemy spotted)
27.6%Spray accuracy
73.1%Counter-strafing
13.3°Preaim
656msReaction time
41.5%T opening success
45.4%CT opening success
0.53Enemies flashed / flash
1.2%Flash assists
7.00HE damage / grenade
7.56Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.3445° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.8279% — below the 15% mark we flag

    Aim Training
Spend your practice time on Mirage

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–100.0411%9 Aug
inferno13–10-0.0513%9 Aug
nuke4–130.0014%8 Aug
anubis4–7-0.118%8 Aug
inferno4–13-0.0615%8 Aug
inferno16–14-0.0410%12 Jul
boulder13–9-0.0310%12 Jul
fachwerk13–50.0423%12 Jul
cache13–8-0.0216%10 Jul
cache9–13-0.0118%10 Jul
overpass8–13-0.0414%7 Nov
nuke13–40.0011%7 Nov
ancient9–13-0.0216%7 Nov
mirage9–130.008%7 Nov
mirage2–13-0.0716%4 Nov
nuke10–130.0114%4 Nov
inferno13–60.034%4 Nov
ancient11–130.0119%30 Oct
nuke5–13-0.0524%28 Oct
mirage5–13-0.0432%27 Oct
inferno4–13-0.058%27 Oct
mirage7–13-0.0914%23 Oct
overpass13–7-0.0313%23 Oct
nuke13–10-0.0429%22 Oct
inferno13–90.003%22 Oct
mirage10–13-0.0321%21 Oct
inferno4–13-0.0028%21 Oct
nuke13–16-0.0621%20 Oct
overpass16–13-0.056%19 Oct
mirage3–13-0.078%19 Oct
ancient16–140.0121%19 Oct
train12–60.0124%19 Oct
inferno8–13-0.0112%19 Oct
mirage11–13-0.0017%15 Oct
train10–13-0.0212%15 Oct
train13–11-0.0315%14 Oct
ancient13–7-0.1013%14 Oct
overpass13–60.0020%14 Oct
ancient13–9-0.0220%13 Oct
inferno11–13-0.0120%11 Oct
mirage6–13-0.0412%11 Oct
mirage9–130.0213%10 Oct
nuke13–10-0.057%10 Oct
ancient13–20.0112%9 Oct
inferno13–7-0.0217%9 Oct
mirage10–13-0.0118%9 Oct
nuke13–9-0.037%9 Oct
overpass7–13-0.0114%9 Oct
train13–1-0.040%9 Oct
nuke7–13-0.0123%9 Oct
mirage6–13-0.0422%8 Oct
inferno3–13-0.069%8 Oct
inferno15–15-0.0315%7 Oct
ancient5–130.035%7 Oct
inferno6–13-0.0510%6 Oct
mirage16–120.0519%6 Oct
train13–110.0613%5 Oct
inferno13–9-0.0410%5 Oct
ancient7–13-0.0313%5 Oct
inferno13–3-0.0112%25 Sept
nuke3–13-0.076%25 Sept
anubis13–20.0919%25 Sept
vertigo13–8-0.0117%25 Sept
overpass12–12-0.0222%25 Sept
mirage13–11-0.0110%24 Sept
inferno4–130.0024%24 Sept
ancient5–13-0.1010%24 Sept
overpass13–20.0611%23 Sept
nuke13–10-0.0111%23 Sept
inferno13–90.0618%23 Sept
ancient13–40.0821%23 Sept
train4–13-0.0617%23 Sept
mirage13–110.0416%20 Sept
overpass5–13-0.0612%20 Sept
inferno9–130.0317%20 Sept
ancient13–3-0.0010%17 Sept
ancient13–7-0.0116%10 Sept
inferno10–13-0.0510%10 Sept
train13–10-0.0329%8 Sept
mirage9–13-0.103%3 Sept
inferno6–13-0.080%3 Sept
ancient3–13-0.0328%3 Sept
overpass11–130.0110%25 Aug
train14–16-0.0120%22 Aug
inferno8–13-0.0214%22 Aug
overpass13–100.017%18 Aug
nuke7–13-0.0913%18 Aug
overpass13–10-0.096%17 Aug
dust213–60.0311%17 Aug
overpass9–13-0.0612%13 Aug
inferno10–13-0.0216%11 Aug
vertigo5–130.0420%11 Aug
ancient8–13-0.0611%10 Aug
train16–13-0.038%10 Aug
nuke13–2-0.024%8 Aug
mirage9–130.0119%8 Aug
inferno13–11-0.0420%8 Aug
overpass8–13-0.0111%7 Aug
ancient11–130.0421%7 Aug
nuke13–4-0.0514%6 Aug

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 →