SELF<

SELF< — CS2 Stats

76561198155375910[U:1:195110182]Steam profile ↗✓ No bans

445Tracked matches41%Win rate2021Tracked since
1,687Hours in CS9Hrs last 2 wks
CSDB Rating6.8 SolidAll-Rounder
Ladder ranks via Leetify

Rating over time

11,533Peak Premier in tracked matches
42Days played since 2024-09-22

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

Performance scores

Aim79
Positioning67
Utility61

0–100 skill scores via Leetify.

Recent form

COLD49–40–11Last 10049%Win rateLTLLLWWLLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −0.7pp headshot accuracy · −1ms reaction

Win rate down 20pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 573ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 576ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

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.

Aim7.9
Utility6.1
Positioning6.7
Opening Duels4.9

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 73% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 600ms 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

Aim7.9
Positioning6.7
Utility6.1
Mechanics8.3
Opening Duels7.5
Win Impact1.9

Composite 6.8/10 (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 rating0.03−0.03
first ⅓ avg 0.06 → last ⅓ avg 0.03
Reaction time597ms−58ms
first ⅓ avg 655ms → last ⅓ avg 597ms
Headshot accuracy18.0%−0.5%
first ⅓ avg 18.5% → last ⅓ avg 18.0%

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 · 13–1 · inferno, 8 Oct →
40%Best headshot accuracy · 3–13 · inferno, 3 Sept →
453msFastest reaction time · 5–13 · inferno, 14 Oct →
13–1Biggest win · cache, 12 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 71% over 7infernoWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%0.05
infernoD216–1529%0.05
mirageB137–654%0.03
cacheA74–357%0.06
nukeS75–271%0.09
anubisC52–340%0.04
ancientC52–340%0.04
thera—43–175%0.09
italy—42–250%0.05
mills—31–233%0.09
vertigo—21–150%-0.01
overpass—21–150%0.10
train—10–10%0.02
warden—11–0100%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,145Lifetime kills
1.18K/D · Top 25% of tracked players
2,049Matches
49.9%Match win rate · Top 25% of tracked players
46.6%Headshot % · Top 50% of tracked players
13.4%Shot accuracy · Top 50% of tracked players
6,566MVPs
894Hours (in match)
1,643Bombs planted
492Bombs defused

Most-used weapons

Lifetime map wins

5,302inferno
3,965dust2
1,332nuke
408vertigo
384cbble
280train
172office
76lake

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.

18.1%Headshot accuracy
35.9%Accuracy (enemy spotted)
37.4%Spray accuracy
87.3%Counter-strafing
8.6°Preaim
600msReaction time
72.5%T opening success
49.9%CT opening success
0.66Enemies flashed / flash
8.7%Flash assists
7.54HE damage / grenade
8.09Flashes / match

Recommended for you

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.

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–130.0214%15 Oct →
anubis12–120.0815%15 Oct →
dust27–13-0.0417%14 Oct →
inferno5–130.0322%14 Oct →
mirage8–130.0315%12 Oct →
cache13–10.0931%12 Oct →
cache13–70.0718%11 Oct →
train6–130.0217%11 Oct →
anubis7–130.0011%11 Oct →
dust214–160.0116%11 Oct →
nuke6–130.0110%9 Oct →
dust23–13-0.0213%6 Oct →
inferno13–80.0419%6 Oct →
mirage13–16-0.0319%1 Oct →
cache10–130.0423%30 Sept →
cache13–90.0421%30 Sept →
cache13–160.0721%29 Sept →
dust213–8-0.0220%28 Sept →
dust213–5-0.0124%24 Sept →
dust210–13-0.0212%15 Sept →
dust28–130.0530%11 Sept →
inferno12–120.0613%11 Sept →
ancient4–130.0419%11 Sept →
cache13–90.1214%8 Sept →
inferno3–13-0.0540%3 Sept →
cache12–12-0.0015%3 Sept →
dust213–50.0615%3 Sept →
warden13–50.0912%28 Mar →
dust23–00.0627%28 Mar →
mirage13–80.1216%28 Mar →
inferno11–130.0611%14 Nov →
inferno12–120.0913%4 Nov →
anubis13–100.0711%4 Nov →
mirage12–120.1122%4 Nov →
vertigo12–12-0.0419%31 Oct →
dust27–13-0.0616%31 Oct →
thera13–110.0516%30 Oct →
dust213–70.1115%30 Oct →
inferno6–13-0.0725%28 Oct →
inferno13–110.0218%25 Oct →
inferno12–120.0515%24 Oct →
mirage13–30.1320%24 Oct →
inferno5–130.0324%23 Oct →
dust213–40.0336%20 Oct →
inferno13–70.0211%17 Oct →
mirage13–9-0.0210%17 Oct →
italy11–130.0715%10 Oct →
thera7–130.0815%10 Oct →
dust213–100.0923%10 Oct →
inferno8–130.0515%10 Oct →
nuke4–130.009%10 Oct →
ancient13–30.046%10 Oct →
inferno13–20.1911%9 Oct →
inferno13–160.069%9 Oct →
nuke13–6-0.0114%9 Oct →
dust213–90.0427%9 Oct →
mirage4–13-0.0314%8 Oct →
dust213–90.0422%8 Oct →
nuke13–10.1513%8 Oct →
inferno13–10.2133%8 Oct →
overpass13–60.1021%7 Oct →
italy13–40.0413%7 Oct →
mirage13–110.0121%7 Oct →
ancient7–130.0322%7 Oct →
mirage13–20.1514%6 Oct →
dust213–80.1018%6 Oct →
italy9–130.049%6 Oct →
inferno13–5-0.0321%6 Oct →
inferno8–13-0.0112%4 Oct →
dust213–60.1127%4 Oct →
dust210–130.0817%3 Oct →
mills12–120.1513%3 Oct →
italy13–70.0617%3 Oct →
dust213–110.1027%1 Oct →
nuke13–70.1616%1 Oct →
nuke13–60.1712%30 Sept →
thera10–30.1414%30 Sept →
mirage3–13-0.0522%30 Sept →
dust213–50.1613%30 Sept →
mirage13–10-0.0412%29 Sept →
inferno7–130.1218%29 Sept →
inferno10–130.0511%28 Sept →
mirage12–120.0318%28 Sept →
mills10–130.0822%28 Sept →
dust213–40.1025%28 Sept →
thera13–100.0723%26 Sept →
overpass12–120.0921%26 Sept →
mills12–60.0422%26 Sept →
inferno12–120.0625%26 Sept →
anubis2–13-0.0515%25 Sept →
ancient13–100.0913%25 Sept →
dust211–130.0519%24 Sept →
ancient10–130.0123%24 Sept →
mirage13–110.0420%23 Sept →
dust28–130.0418%23 Sept →
inferno8–13-0.0120%23 Sept →
anubis13–100.0818%23 Sept →
dust28–130.0617%23 Sept →
vertigo13–80.0113%23 Sept →
nuke13–110.1025%22 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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