L

L — CS2 Stats

FO76561199787977435[U:1:1827711707]Steam profile ↗✓ No bans

896Tracked matches54%Win rate2025Tracked since
2,645Hours in CS5Hrs last 2 wks
CSDB Rating4.7 DevelopingAll-Rounder
Premier CS Rating11,372Blue band · top ~47.6% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Aug 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,372 -237 6 Aug – 27 Aug · 3 days played
11,37211,733peak 11,7336 Aug27 Aug
11,863Peak Premier in tracked matches
32Days played since 2026-07-17

Premier CS Rating

  • 361 below peak (11,733)
  • Next: Purple band at 15,000 — 3,628 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate53.6%42.0%44.4%above
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio1.920.981.03above
Match win rate55.9%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLPREMIER11,372 · Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning53
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLLWWWLWLWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −2.0pp headshot accuracy · −40ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 524ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 520ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 540ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim5.2
Utility4.6
Positioning5.3
Opening Duels5.8

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.

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

s1mple

Plays most like s1mple 83% 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

Strengths

CT openings. 64% 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 64% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.2
Positioning5.3
Utility4.6
Mechanics3.7
Opening Duels5.0
Win Impact6.2

Composite 4.7/10 (Developing), 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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time547ms−97ms
first ⅓ avg 644ms → last ⅓ avg 547ms
Headshot accuracy20.8%−0.1%
first ⅓ avg 20.9% → last ⅓ avg 20.8%

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

0.14Best match rating · 13–5 · vertigo, 1 Oct →
48%Best headshot accuracy · 13–7 · mirage, 17 Aug →
422msFastest reaction time · 9–6 · inferno, 20 Aug →
13–0Biggest win · mirage, 30 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
4–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 71% over 17infernoWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
mirageS1712–571%-0.01
infernoD153–1220%-0.06
vertigoA149–564%0.01
dust2D123–925%-0.02
officeC114–736%0.02
nukeC73–443%-0.04
anubisD62–433%-0.02
overpassD62–433%0.05
ancientA53–260%0.01
train—20–20%-0.01
cache—21–150%-0.07
debris—11–0100%0.09
poseidon—10–10%-0.05
eldorado—10–10%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,920Lifetime kills
1.92K/D · Top 5% of Blue band
1,273Matches
55.9%Match win rate · Top 5% of Blue band
53.6%Headshot % · Top 10% of Blue band
0.0%Shot accuracy
7,418MVPs
429Hours (in match)
2,036Bombs planted
750Bombs defused

Most-used weapons

Lifetime map wins

2,755dust2
2,268inferno
1,235vertigo
1,178nuke
670office
331train
120italy
1ar_shoots

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.

19.2%Headshot accuracy
28.7%Accuracy (enemy spotted)
33.2%Spray accuracy
66.4%Counter-strafing
10.4°Preaim
539msReaction time
36.7%T opening success
63.6%CT opening success
0.47Enemies flashed / flash
3.6%Flash assists
4.71HE damage / grenade
8.91Flashes / 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 0.4657 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 36.6947% — below the 40% mark we flag

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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–130.0425%22 Oct →
anubis9–13-0.0120%9 Oct →
mirage13–40.0314%9 Oct →
nuke13–110.0226%1 Oct →
vertigo13–50.1427%1 Oct →
inferno7–9-0.0518%1 Oct →
overpass9–70.0920%13 Sept →
inferno4–9-0.0736%29 Aug →
anubis13–70.0625%29 Aug →
inferno10–13-0.0619%27 Aug →
ancient13–80.0818%27 Aug →
mirage11–13-0.0220%24 Aug →
office13–60.1015%24 Aug →
inferno9–6-0.0223%20 Aug →
debris9–30.0933%20 Aug →
inferno6–13-0.0129%19 Aug →
mirage13–7-0.0220%19 Aug →
dust24–13-0.0420%19 Aug →
mirage13–7-0.0548%17 Aug →
overpass6–130.0924%14 Aug →
dust213–20.0612%13 Aug →
ancient13–50.068%12 Aug →
train12–12-0.0110%12 Aug →
train6–13-0.018%12 Aug →
mirage13–8-0.0315%9 Aug →
cache2–13-0.0913%8 Aug →
inferno13–9-0.0418%8 Aug →
nuke5–13-0.0117%8 Aug →
office12–120.0524%8 Aug →
office13–40.0024%8 Aug →
nuke3–9-0.1521%8 Aug →
overpass11–130.0612%7 Aug →
vertigo9–60.0123%7 Aug →
office9–130.0722%6 Aug →
inferno7–9-0.1317%6 Aug →
inferno13–7-0.0611%6 Aug →
inferno1–9-0.230%6 Aug →
mirage13–50.0613%5 Aug →
vertigo9–6-0.0111%5 Aug →
vertigo10–130.0414%2 Aug →
mirage13–60.0016%2 Aug →
vertigo9–40.0115%31 Jul →
vertigo9–13-0.0514%30 Jul →
mirage13–00.0511%30 Jul →
overpass8–8-0.0513%30 Jul →
vertigo7–130.0121%29 Jul →
office10–130.0019%29 Jul →
vertigo13–30.0818%29 Jul →
dust29–13-0.0028%29 Jul →
dust212–120.0018%28 Jul →
dust25–130.0217%28 Jul →
vertigo6–13-0.0413%28 Jul →
vertigo4–13-0.0517%28 Jul →
mirage12–120.0128%28 Jul →
mirage13–9-0.0511%27 Jul →
overpass4–13-0.025%27 Jul →
ancient8–13-0.086%27 Jul →
anubis9–13-0.0330%27 Jul →
ancient13–9-0.0330%26 Jul →
mirage4–13-0.0629%26 Jul →
vertigo13–11-0.0520%26 Jul →
vertigo13–40.0230%25 Jul →
nuke13–7-0.0311%25 Jul →
inferno6–130.0017%25 Jul →
dust216–120.0121%25 Jul →
mirage13–3-0.066%25 Jul →
vertigo13–90.0213%25 Jul →
inferno10–130.0126%24 Jul →
office4–13-0.0219%24 Jul →
vertigo13–30.0210%24 Jul →
inferno9–13-0.0528%24 Jul →
dust26–13-0.0915%24 Jul →
dust213–10-0.0219%24 Jul →
anubis13–50.0332%24 Jul →
anubis3–13-0.0818%24 Jul →
cache13–7-0.0529%21 Jul →
office3–13-0.1025%20 Jul →
dust22–13-0.0819%20 Jul →
office13–00.0122%20 Jul →
nuke13–60.0114%20 Jul →
office11–13-0.0217%19 Jul →
nuke6–13-0.0329%19 Jul →
dust28–13-0.0428%19 Jul →
inferno7–13-0.0224%19 Jul →
office6–130.0916%19 Jul →
office13–40.0615%19 Jul →
poseidon8–8-0.0533%19 Jul →
nuke3–9-0.1014%19 Jul →
overpass9–60.1223%19 Jul →
inferno1–9-0.1814%19 Jul →
eldorado6–9-0.0013%19 Jul →
mirage5–13-0.0521%18 Jul →
mirage13–110.0125%18 Jul →
inferno12–120.0226%18 Jul →
mirage13–9-0.0319%18 Jul →
ancient0–9-0.0023%18 Jul →
dust21–13-0.0618%18 Jul →
mirage13–9-0.0418%17 Jul →
dust29–130.0025%17 Jul →
anubis14–16-0.1012%17 Jul →

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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