4

4 — CS2 Stats

76561199217788180[U:1:1257522452]Steam profile ↗✓ No bans

825Tracked matches33%Win rate2022Tracked since
2,140Hours in CS10Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
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. 35 days played since 16 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,738 +2,080 16 Jun23 Jun · 5 days played
14,65816,738peak 16,73816 Jun23 Jun
16,849Peak Premier in tracked matches
1,449Highest Faceit ELO seen on CSDB
35Days played since 2026-06-16

Faceit ELO

  • At peak — 1,449
  • Next: Level 8 at 1,531 82 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GG4PEAK ELO1,449csdb.gg/stats

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Performance scores

Aim62
Positioning59
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY50473Last 10050%Win rateWLLWLWWLWL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · +2.9pp headshot accuracy · −47ms reaction

Win rate up 40pp 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

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 549ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 562ms

Last 20

  • 614 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 585ms

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 (+1.9 against its own average).

Aim6.2
Utility3.5
Positioning5.9
Opening Duels3.1
Clutch3.6

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 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

T-side openings. Opening success drops from 49% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim6.2
Positioning5.9
Utility3.5
Mechanics5.4
Opening Duels2.9
Win Impact0.0

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time597ms+25ms
first ⅓ avg 572ms → last ⅓ avg 597ms
Headshot accuracy21.7%+4.4%
first ⅓ avg 17.2% → last ⅓ avg 21.7%

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

0.17Best match rating · 9–0 · inferno, 18 Jun
41%Best headshot accuracy · 13–4 · mirage, 9 Jul
336msFastest reaction time · 9–6 · inferno, 22 Jun
13–0Biggest win · mirage, 9 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
16In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 75% over 16dust2Weakest map · 25% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB24121250%0.01
dust2D2051525%-0.01
infernoS1612475%-0.02
nukeS107370%0.00
ancientA85363%0.00
trainC73443%-0.03
anubisC52340%0.04
cache3030%-0.03
office32167%0.03
vertigo21150%-0.03
overpass21150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,080Lifetime kills
0.90K/D
2,334Matches
44.2%Match win rate
48.7%Headshot % · Top 50% of tracked players
5.9%Shot accuracy
6,478MVPs
2,230Hours (in match)
2,334Bombs planted
1,546Bombs defused

Most-used weapons

Lifetime map wins

2,561dust2
1,742inferno
854nuke
746vertigo
263train
144office
21lake
6cbble

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

Faceit stats

Combat

725Matches
51%Win rate
1.01Avg K/D
75.4ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage24961%1.0814.6
Dust28848%1.0514.0
Anubis6542%0.9213.1
Ancient6252%1.0415.4
Overpass2836%1.1415.4
Inferno2774%1.1516.3
Vertigo2544%1.0916.2
Nuke1942%0.9013.1

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.

21.4%Headshot accuracy
27.2%Accuracy (enemy spotted)
30.8%Spray accuracy
74.5%Counter-strafing
7.3°Preaim
586msReaction time
33.6%T opening success
49.2%CT opening success
0.49Enemies flashed / flash
5.0%Flash assists
5.36HE damage / grenade
5.97Flashes / 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 0.4893 — 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 33.6234% — below the 40% mark we flag

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.

25% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–80.0224%16 Sept
mirage3–13-0.0718%16 Sept
dust27–130.1227%9 Sept
nuke13–60.0522%9 Sept
dust29–13-0.0426%9 Sept
mirage13–00.1431%9 Sept
mirage13–10.0632%9 Sept
inferno5–9-0.0133%8 Sept
mirage13–90.0320%8 Sept
mirage8–130.0220%7 Sept
dust23–13-0.0511%5 Sept
dust26–130.0632%5 Sept
dust214–16-0.0322%23 Aug
dust210–130.0120%17 Aug
mirage5–130.0223%17 Aug
mirage1–13-0.0730%17 Aug
dust22–13-0.0621%17 Aug
nuke13–80.0626%11 Aug
dust210–13-0.0419%8 Aug
dust29–13-0.0422%6 Aug
mirage7–13-0.0324%6 Aug
cache2–13-0.0317%5 Aug
nuke1–13-0.0430%28 Jul
mirage5–13-0.0314%24 Jul
ancient11–13-0.0322%21 Jul
anubis10–13-0.0513%21 Jul
dust213–70.0514%20 Jul
anubis13–50.0728%18 Jul
anubis13–60.0717%17 Jul
office10–130.0214%12 Jul
mirage13–100.0214%12 Jul
mirage10–130.0213%11 Jul
ancient8–130.0015%11 Jul
train13–100.0131%10 Jul
dust213–70.0219%10 Jul
train11–13-0.0415%10 Jul
nuke13–6-0.0217%10 Jul
vertigo12–12-0.089%10 Jul
mirage6–130.0336%9 Jul
mirage13–40.1041%9 Jul
cache3–13-0.0313%9 Jul
ancient13–50.0922%9 Jul
office13–60.0621%9 Jul
mirage13–10.1319%8 Jul
mirage13–5-0.0718%8 Jul
dust26–13-0.0511%8 Jul
train9–13-0.095%7 Jul
train13–7-0.077%7 Jul
nuke13–4-0.0115%7 Jul
dust211–13-0.0610%2 Jul
inferno13–8-0.0416%2 Jul
train13–00.019%2 Jul
train11–13-0.0127%28 Jun
vertigo13–40.0211%28 Jun
office13–20.0025%25 Jun
train10–13-0.0536%25 Jun
nuke13–10.0826%24 Jun
overpass13–10.0419%24 Jun
dust22–130.0131%24 Jun
mirage0–13-0.0822%23 Jun
ancient16–13-0.0515%23 Jun
mirage4–130.0624%23 Jun
cache10–13-0.0421%22 Jun
inferno2–9-0.2426%22 Jun
inferno9–6-0.0620%22 Jun
inferno9–00.1121%22 Jun
inferno8–8-0.0839%21 Jun
inferno0–9-0.230%21 Jun
nuke0–9-0.170%21 Jun
inferno9–40.0521%21 Jun
nuke9–50.0217%21 Jun
inferno9–1-0.038%21 Jun
inferno9–1-0.034%21 Jun
nuke9–50.0924%21 Jun
inferno9–30.0735%21 Jun
inferno9–40.0623%21 Jun
mirage8–13-0.0121%21 Jun
dust216–14-0.0536%21 Jun
anubis2–13-0.0117%21 Jun
mirage13–50.038%20 Jun
dust212–12-0.0717%20 Jun
nuke7–13-0.0520%20 Jun
inferno13–7-0.0513%20 Jun
mirage13–5-0.0213%19 Jun
mirage13–40.0831%19 Jun
overpass6–13-0.0719%18 Jun
inferno13–5-0.0316%18 Jun
ancient13–6-0.0316%18 Jun
inferno9–30.0316%18 Jun
inferno9–00.1721%18 Jun
dust210–13-0.0218%18 Jun
dust213–90.0118%18 Jun
anubis9–130.1118%18 Jun
mirage13–6-0.0117%17 Jun
ancient13–40.0315%17 Jun
ancient13–10-0.0016%17 Jun
ancient10–13-0.0129%16 Jun
mirage13–70.0113%16 Jun
mirage11–13-0.0314%16 Jun
dust23–13-0.0216%16 Jun

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 →