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1 — CS2 Stats

76561198880037093[U:1:919771365]Steam profile ↗✓ No bans

3,099Tracked matches39%Win rate2023Tracked since
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating11,335Blue band · top ~47.8% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 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: 11,335 +1,095 31 Oct – 11 Nov · 3 days played
10,24011,335peak 11,33531 Oct11 Nov
11,335Peak Premier in tracked matches
12Days played since 2026-10-30

Premier CS Rating

  • At peak — 11,335
  • Next: Purple band at 15,000 — 3,665 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.

Share this profile

CSDB.GG1FACEITLevel 1STANDINGTop 100.0% of rankedPREMIER11,335 · Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning58
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY52–41–7Last 10052%Win rateWLWWWLLLLL

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating · +4.1pp headshot accuracy · −13ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 583ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 680ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 686ms

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 Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim4.0
Utility4.6
Positioning5.8
Opening Duels4.3
Clutch3.8

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, 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. 664ms 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

Aim4.0
Positioning5.8
Utility4.6
Mechanics5.0
Opening Duels6.0
Win Impact1.4

Composite 4.3/10 (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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time649ms+88ms
first ⅓ avg 561ms → last ⅓ avg 649ms
Headshot accuracy15.4%−0.5%
first ⅓ avg 15.9% → last ⅓ avg 15.4%

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

0.15Best match rating · 13–4 · inferno, 5 Nov →
33%Best headshot accuracy · 11–13 · inferno, 3 Nov →
375msFastest reaction time · 1–7 · inferno, 2 Nov →
13–1Biggest win · nuke, 31 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 57% over 70dust2Weakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
infernoA7040–3057%0.01
dust2D227–1532%-0.03
mirage—32–167%-0.02
nuke—32–167%-0.01
anubis—21–150%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

95Matches
37%Win rate
0.73Avg K/D
75.0ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
6%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4149%0.7511.0
Ancient1540%0.8013.5
Dust21010%0.7012.3
Inferno1040%0.7211.1
Anubis911%0.6911.7
Nuke520%0.6712.0
Vertigo425%0.466.5
Train1100%1.009.0

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.

15.5%Headshot accuracy
30.0%Accuracy (enemy spotted)
31.2%Spray accuracy
72.5%Counter-strafing
10.3°Preaim
664msReaction time
57.5%T opening success
50.5%CT opening success
0.55Enemies flashed / flash
11.2%Flash assists
7.13HE damage / grenade
7.52Flashes / match

Recommended for you

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.

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.047%11 Nov →
inferno4–130.0320%11 Nov →
inferno12–40.0415%11 Nov →
inferno13–50.0826%11 Nov →
inferno13–80.0129%11 Nov →
dust211–13-0.0811%10 Nov →
dust24–13-0.060%10 Nov →
dust26–130.0123%10 Nov →
dust29–130.0114%10 Nov →
dust25–130.0024%10 Nov →
dust213–20.0416%10 Nov →
dust213–10-0.0017%10 Nov →
dust212–12-0.0810%10 Nov →
dust21–13-0.0926%10 Nov →
dust22–13-0.1115%8 Nov →
dust29–13-0.0413%8 Nov →
dust28–13-0.126%8 Nov →
dust212–12-0.079%8 Nov →
dust26–13-0.066%8 Nov →
dust21–13-0.0710%8 Nov →
dust213–40.0610%8 Nov →
nuke13–90.0211%7 Nov →
anubis6–130.0215%7 Nov →
mirage11–13-0.0127%7 Nov →
inferno13–11-0.018%7 Nov →
inferno13–60.0221%7 Nov →
inferno7–13-0.0522%7 Nov →
inferno7–13-0.0214%7 Nov →
inferno5–13-0.0515%7 Nov →
inferno13–50.0720%7 Nov →
inferno13–7-0.0212%7 Nov →
inferno4–2-0.0620%7 Nov →
inferno13–60.0314%7 Nov →
inferno13–5-0.0215%7 Nov →
dust213–11-0.0115%6 Nov →
dust212–120.0114%6 Nov →
dust213–9-0.0211%6 Nov →
dust28–13-0.0610%6 Nov →
dust213–20.0322%6 Nov →
inferno4–13-0.0424%6 Nov →
inferno13–60.0218%6 Nov →
inferno13–9-0.0212%6 Nov →
inferno13–4-0.0226%6 Nov →
dust213–100.0015%5 Nov →
inferno10–13-0.0617%5 Nov →
inferno1–13-0.0421%5 Nov →
inferno13–70.0218%5 Nov →
inferno13–40.1523%5 Nov →
inferno12–12-0.0215%5 Nov →
inferno13–7-0.0512%5 Nov →
inferno10–13-0.0219%5 Nov →
inferno13–80.1117%5 Nov →
inferno10–130.0315%5 Nov →
inferno8–13-0.017%5 Nov →
inferno13–80.0014%4 Nov →
inferno3–2-0.070%4 Nov →
inferno1–13-0.0723%4 Nov →
inferno13–4-0.059%4 Nov →
inferno13–8-0.0320%4 Nov →
inferno4–13-0.1222%4 Nov →
inferno13–50.0313%3 Nov →
inferno11–130.0733%3 Nov →
inferno13–9-0.0513%3 Nov →
inferno13–110.0518%3 Nov →
inferno3–13-0.0118%3 Nov →
inferno13–70.027%3 Nov →
inferno12–120.0411%2 Nov →
inferno13–50.096%2 Nov →
inferno13–100.0416%2 Nov →
inferno1–7-0.100%2 Nov →
inferno12–12-0.0620%2 Nov →
inferno7–130.0322%2 Nov →
inferno7–130.0125%2 Nov →
inferno13–90.0826%1 Nov →
inferno13–70.0618%1 Nov →
inferno5–130.1315%1 Nov →
inferno12–120.0310%1 Nov →
inferno11–130.0533%1 Nov →
inferno10–130.0218%1 Nov →
inferno8–13-0.0214%1 Nov →
inferno13–50.018%1 Nov →
anubis13–90.0220%31 Oct →
mirage13–10-0.0119%31 Oct →
inferno13–110.0112%31 Oct →
inferno13–70.0410%31 Oct →
inferno13–5-0.0121%31 Oct →
nuke13–1-0.0415%31 Oct →
inferno13–10-0.0112%31 Oct →
nuke0–2-0.0033%31 Oct →
inferno13–6-0.0012%31 Oct →
inferno8–130.037%31 Oct →
inferno1–13-0.0111%31 Oct →
inferno13–60.0314%31 Oct →
inferno13–110.0216%30 Oct →
inferno13–30.0314%30 Oct →
inferno6–13-0.0219%30 Oct →
inferno13–70.0517%30 Oct →
inferno3–13-0.0515%30 Oct →
inferno9–130.0215%30 Oct →
inferno13–3-0.0212%30 Oct →

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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