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Multi — CS2 Stats

76561199247323641[U:1:1287057913]Steam profile ↗✓ No bans

482Tracked matches60%Win rate2025Tracked since
CSDB Rating6.6 SolidAll-Rounder
Premier CS Rating16,540Purple band · top ~22.3% of ranked players (population est.)
CSDB Leaderboard#126336 of 251998 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 16,540 → 16,540
+5Tracked matches · now 482
−3.3ppWin rate · 63.3% → 60.0%

Rating over time

Premier CS Rating: 16,540 +0 6 Sept – 4 Oct · 2 days played
16,54016,540peak 16,5406 Sept4 Oct
16,540Peak Premier in tracked matches
25Days played since 2026-09-05

Premier CS Rating

  • At peak — 16,540
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 — 3,460 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-04
  • Blue band first seen 2026-10-04

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

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CSDB.GGMultiPREMIER16,540 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning64
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–41–9Last 10050%Win rateLLWLWTWLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −3.9pp headshot accuracy · −21ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 669ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 627ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 637ms

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.

Aim6.4
Utility5.6
Positioning6.4
Opening Duels5.4

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 82% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 647ms 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
Positioning6.4
Utility5.6
Mechanics7.8
Opening Duels5.5
Win Impact8.3

Composite 6.6/10 (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 rating0.03+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time632ms−20ms
first ⅓ avg 652ms → last ⅓ avg 632ms
Headshot accuracy21.2%−5.5%
first ⅓ avg 26.7% → last ⅓ avg 21.2%

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

0.21Best match rating · 13–4 · nuke, 18 Sept →
64%Best headshot accuracy · 12–5 · dust2, 6 Sept →
469msFastest reaction time · 5–9 · nuke, 25 Sept →
13–1Biggest win · mirage, 23 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

dust2Best map · 75% over 8infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB3918–2146%0.03
mirageB2513–1252%0.04
dust2S86–275%0.02
infernoD82–625%0.01
cacheA74–357%0.07
ancientA53–260%0.01
train—43–175%0.04
anubis—41–325%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

21.5%Headshot accuracy
33.5%Accuracy (enemy spotted)
35.1%Spray accuracy
84.9%Counter-strafing
11.5°Preaim
647msReaction time
54.8%T opening success
49.2%CT opening success
0.49Enemies flashed / flash
7.3%Flash assists
13.65HE damage / grenade
8.34Flashes / 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 0.4895 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–100.0517%14 Oct →
nuke8–130.0014%11 Oct →
mirage13–11-0.0418%4 Oct →
train5–13-0.0319%4 Oct →
dust24–20.0224%4 Oct →
nuke8–80.008%30 Sept →
dust213–100.0619%30 Sept →
cache9–130.1329%30 Sept →
inferno3–9-0.0612%29 Sept →
train13–110.1023%29 Sept →
train13–40.0219%29 Sept →
nuke13–3-0.0229%29 Sept →
nuke9–130.0524%26 Sept →
anubis13–100.0914%26 Sept →
ancient13–40.0828%26 Sept →
inferno7–130.0420%26 Sept →
nuke8–80.0619%26 Sept →
nuke13–40.0721%26 Sept →
nuke9–13-0.0317%25 Sept →
nuke8–30.0632%25 Sept →
nuke13–80.0223%25 Sept →
mirage8–130.0024%25 Sept →
nuke5–9-0.0319%25 Sept →
nuke9–60.0613%24 Sept →
nuke13–80.0220%24 Sept →
mirage11–130.0518%24 Sept →
inferno6–90.0019%24 Sept →
inferno7–9-0.0923%23 Sept →
nuke13–100.0426%23 Sept →
mirage13–70.1019%23 Sept →
nuke11–13-0.0426%23 Sept →
mirage13–10.1241%23 Sept →
mirage10–130.1423%23 Sept →
ancient11–13-0.0911%22 Sept →
nuke13–4-0.0320%22 Sept →
inferno9–40.0430%22 Sept →
mirage13–90.0618%21 Sept →
nuke13–90.0922%21 Sept →
nuke13–60.0430%21 Sept →
nuke13–30.0525%21 Sept →
nuke4–130.0729%20 Sept →
mirage3–130.0824%20 Sept →
mirage13–9-0.0128%19 Sept →
mirage13–2-0.0338%19 Sept →
cache13–80.0617%19 Sept →
nuke1–130.0628%19 Sept →
dust213–80.0535%19 Sept →
nuke13–60.0922%19 Sept →
cache8–130.0233%19 Sept →
ancient13–8-0.0217%18 Sept →
nuke13–10.0325%18 Sept →
mirage5–130.0325%18 Sept →
nuke12–120.1132%18 Sept →
ancient13–6-0.0224%18 Sept →
nuke13–40.2130%18 Sept →
mirage9–40.1234%17 Sept →
mirage13–50.1132%17 Sept →
dust29–70.0719%17 Sept →
anubis4–130.0318%17 Sept →
nuke7–130.0732%17 Sept →
nuke10–130.0721%17 Sept →
nuke12–120.1026%17 Sept →
nuke0–8-0.150%16 Sept →
inferno8–13-0.0319%16 Sept →
mirage7–130.0729%15 Sept →
mirage7–130.0751%14 Sept →
cache11–130.0818%14 Sept →
nuke13–60.0216%14 Sept →
mirage13–10-0.0127%14 Sept →
mirage10–130.0025%14 Sept →
mirage13–60.0522%14 Sept →
cache13–30.1222%14 Sept →
cache13–8-0.0430%14 Sept →
dust27–13-0.120%13 Sept →
inferno12–120.1530%13 Sept →
cache13–50.0944%13 Sept →
nuke12–120.0633%13 Sept →
mirage12–120.0220%12 Sept →
nuke13–90.0928%12 Sept →
nuke9–130.0235%11 Sept →
nuke13–10-0.0225%9 Sept →
dust213–40.0422%9 Sept →
mirage13–20.1229%9 Sept →
anubis9–13-0.0721%9 Sept →
inferno13–50.0629%8 Sept →
mirage7–13-0.0325%8 Sept →
dust28–13-0.0118%8 Sept →
nuke12–12-0.0333%8 Sept →
mirage13–20.1038%8 Sept →
nuke6–130.0118%8 Sept →
anubis10–130.1232%6 Sept →
mirage7–13-0.0213%6 Sept →
mirage13–40.0523%6 Sept →
dust212–50.0564%6 Sept →
nuke13–8-0.0128%6 Sept →
nuke9–90.0134%6 Sept →
ancient12–120.1020%5 Sept →
nuke8–130.0723%5 Sept →
train13–50.0825%5 Sept →
mirage4–13-0.0527%5 Sept →

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 →

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