>⩊<.ᐟ

>⩊<.ᐟ — CS2 Stats

76561198337115296[U:1:376849568]Steam profile ↗✓ No bans

181Tracked matches32%Win rate2023Tracked since
252Hours in CS
CSDB Rating2.8 LearningPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 5,115 +1,001 22 Nov – 3 Dec · 4 days played
3,8895,115peak 5,11522 Nov3 Dec
5,115Peak Premier in tracked matches
30Days played since 2025-10-29

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

Performance scores

Aim43
Positioning27
Utility3

0–100 skill scores via Leetify.

Recent form

COLD39–59–2Last 10039%Win rateLWWLLWLLLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +3.6pp headshot accuracy · +31ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 697ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 679ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 663ms

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 (+1.7 against its own average).

Aim4.3
Utility0.3
Positioning2.7
Opening Duels0.0

Limited utility dependence

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 91% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 666ms 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

Aim4.3
Positioning2.7
Utility0.3
Mechanics6.3
Opening Duels0.0
Win Impact0.0

Composite 2.8/10 (Learning), 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 rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time677ms−50ms
first ⅓ avg 728ms → last ⅓ avg 677ms
Headshot accuracy16.7%−0.9%
first ⅓ avg 17.6% → last ⅓ avg 16.7%

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

0.08Best match rating · 13–0 · cache, 17 Aug →
50%Best headshot accuracy · 0–5 · mirage, 22 Nov →
500msFastest reaction time · 5–13 · mirage, 11 Oct →
13–0Biggest win · cache, 17 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–1In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 56% over 9cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC238–1535%-0.03
nukeC219–1243%-0.03
dust2C198–1142%-0.02
infernoA95–456%-0.03
trainA95–456%-0.02
cacheD72–529%-0.05
ancient—41–325%-0.05
overpass—31–233%0.01
anubis—20–20%-0.08
alpine—10–10%-0.09
office—10–10%-0.11
vertigo—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

16,791Lifetime kills
1.15K/D · Top 25% of tracked players
671Matches
26.5%Match win rate
29.1%Headshot %
15.6%Shot accuracy · Top 25% of tracked players
482MVPs
252Hours (in match)
229Bombs planted
57Bombs defused

Most-used weapons

AWP4,227
AK-472,233
P2501,884
P90552
AUG467
Knife363

Lifetime map wins

822dust2
492nuke
221inferno
121train
112vertigo
20assault
18office
16safehouse

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.

16.3%Headshot accuracy
28.2%Accuracy (enemy spotted)
28.8%Spray accuracy
78.5%Counter-strafing
9.5°Preaim
666msReaction time
26.3%T opening success
25.3%CT opening success
0.01Enemies flashed / flash
1.2%Flash assists
1.25HE damage / grenade
0.18Flashes / 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 0.012 — 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 26.2766% — below the 40% mark we flag

Spend your practice time on Cache

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 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0332%11 Oct →
cache13–90.017%11 Oct →
nuke13–3-0.0024%11 Oct →
mirage7–13-0.0630%8 Oct →
ancient6–13-0.0921%8 Oct →
nuke13–80.0319%8 Oct →
dust25–13-0.0415%8 Oct →
anubis9–13-0.0315%7 Oct →
nuke9–13-0.079%7 Oct →
cache5–13-0.0913%7 Oct →
anubis2–13-0.1315%7 Oct →
mirage13–9-0.0217%23 Sept →
mirage10–13-0.0116%2 Sept →
cache8–13-0.107%2 Sept →
nuke9–13-0.0710%2 Sept →
mirage13–16-0.088%2 Sept →
dust212–12-0.0214%26 Aug →
mirage4–13-0.1113%17 Aug →
mirage10–13-0.0420%17 Aug →
inferno5–130.0029%17 Aug →
cache3–13-0.1411%17 Aug →
cache13–00.0813%17 Aug →
train13–100.0313%16 Aug →
cache6–13-0.0633%16 Aug →
ancient15–15-0.0612%10 Jul →
dust213–50.0011%10 Jul →
ancient13–5-0.0426%10 Jul →
cache8–13-0.0323%7 Jul →
nuke4–13-0.047%8 Jun →
inferno13–9-0.1019%3 May →
inferno8–13-0.0535%20 Apr →
alpine11–13-0.090%7 Apr →
nuke6–13-0.0317%7 Apr →
office2–13-0.110%7 Apr →
inferno1–13-0.0332%7 Apr →
nuke13–20.0218%3 Dec →
inferno13–4-0.0113%3 Dec →
dust24–130.0424%3 Dec →
nuke13–70.0414%3 Dec →
mirage13–8-0.0123%3 Dec →
train13–80.0211%30 Nov →
dust28–13-0.0821%29 Nov →
train13–50.0115%29 Nov →
inferno13–7-0.0019%29 Nov →
nuke5–13-0.0814%29 Nov →
nuke13–00.0430%27 Nov →
ancient7–13-0.0116%27 Nov →
dust23–130.0011%27 Nov →
train13–110.0416%26 Nov →
train7–13-0.104%26 Nov →
overpass7–13-0.0313%23 Nov →
mirage13–50.0220%23 Nov →
dust29–13-0.1113%23 Nov →
dust24–13-0.0526%23 Nov →
nuke13–100.0613%22 Nov →
inferno13–9-0.0110%22 Nov →
dust213–20.0311%22 Nov →
dust213–9-0.0917%22 Nov →
mirage0–5-0.0450%22 Nov →
dust213–10.0518%22 Nov →
inferno13–4-0.0314%22 Nov →
dust23–130.0312%22 Nov →
mirage8–130.0319%22 Nov →
mirage13–6-0.0414%22 Nov →
nuke2–13-0.0315%22 Nov →
dust22–13-0.0927%19 Nov →
dust213–5-0.0514%19 Nov →
nuke13–7-0.0210%19 Nov →
mirage7–13-0.0941%19 Nov →
train5–13-0.0419%19 Nov →
overpass7–13-0.0224%19 Nov →
dust23–13-0.0014%16 Nov →
nuke8–13-0.134%16 Nov →
mirage13–11-0.0024%16 Nov →
dust213–100.0111%16 Nov →
vertigo6–13-0.0125%15 Nov →
inferno5–13-0.0613%15 Nov →
overpass13–110.079%15 Nov →
train2–13-0.0726%15 Nov →
mirage13–10-0.007%15 Nov →
mirage4–13-0.0223%15 Nov →
nuke5–13-0.0617%15 Nov →
train13–8-0.0322%15 Nov →
nuke6–13-0.025%15 Nov →
nuke4–4-0.048%11 Nov →
mirage13–4-0.0313%11 Nov →
mirage4–13-0.0122%11 Nov →
mirage16–12-0.016%7 Nov →
mirage3–13-0.0222%7 Nov →
mirage4–13-0.0915%7 Nov →
dust213–40.0239%6 Nov →
nuke16–12-0.009%6 Nov →
dust29–13-0.0221%6 Nov →
mirage10–13-0.0220%6 Nov →
nuke2–13-0.0816%6 Nov →
nuke6–13-0.0913%5 Nov →
dust213–90.0331%1 Nov →
nuke3–13-0.0310%1 Nov →
mirage10–13-0.0223%1 Nov →
train9–13-0.0520%29 Oct →

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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