allllllij

allllllij — CS2 Stats

US76561199112198516[U:1:1151932788]Steam profile ↗✓ No bans

710Tracked matches54%Win rate2025Tracked since
CSDB Rating3.9 LearningPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 2,329 -588 30 May – 6 Jul · 9 days played
2,3293,038peak 3,03830 May6 Jul
3,143Peak Premier in tracked matches
30Days played since 2026-05-30

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

Performance scores

Aim37
Positioning34
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateLLWTWLLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −5.7pp headshot accuracy · −62ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 650ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 662ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 693ms

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 (+1.5 against its own average).

Aim3.7
Utility2.2
Positioning3.4
Opening Duels0.0

Strong CT-side openerLimited 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

iM

Plays most like iM 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 42% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 684ms 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

Aim3.7
Positioning3.4
Utility2.2
Mechanics6.6
Opening Duels1.5
Win Impact6.2

Composite 3.9/10 (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-0.04−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time690ms−4ms
first ⅓ avg 694ms → last ⅓ avg 690ms
Headshot accuracy13.2%+2.9%
first ⅓ avg 10.4% → last ⅓ avg 13.2%

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

0.10Best match rating · 13–2 · ancient, 31 May →
33%Best headshot accuracy · 13–7 · train, 1 Jul →
469msFastest reaction time · 13–10 · vertigo, 22 Sept →
13–1Biggest win · anubis, 13 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 71% over 7mirageWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C197–1237%-0.04
nukeC145–936%-0.03
mirageD102–820%-0.06
ancientC94–544%-0.03
infernoD92–722%-0.06
officeS75–271%-0.04
cacheA74–357%-0.04
trainS64–267%-0.02
anubisC52–340%-0.03
vertigo—42–250%-0.06
overpass—43–175%-0.06
boulder—32–167%-0.06
fachwerk—22–0100%-0.03
shelter—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 10). Start with the 5 essential Mirage 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.

13.4%Headshot accuracy
32.6%Accuracy (enemy spotted)
27.1%Spray accuracy
79.5%Counter-strafing
11.9°Preaim
684msReaction time
21.2%T opening success
41.7%CT opening success
0.35Enemies flashed / flash
2.7%Flash assists
5.96HE damage / grenade
2.56Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.4124% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3522 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 21.212% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
train8–13-0.0216%25 Sept →
ancient11–13-0.0410%25 Sept →
vertigo13–10-0.090%22 Sept →
dust212–12-0.0211%22 Sept →
overpass13–8-0.0013%21 Sept →
inferno7–13-0.0813%8 Sept →
boulder1–13-0.110%5 Sept →
dust28–13-0.0311%5 Sept →
mirage13–30.023%2 Sept →
ancient13–5-0.0922%23 Aug →
dust213–20.0316%22 Aug →
dust24–13-0.0729%19 Aug →
office13–4-0.0317%19 Aug →
mirage9–13-0.0412%19 Aug →
train13–10-0.073%19 Aug →
nuke13–40.0117%19 Aug →
mirage10–13-0.0614%7 Aug →
ancient4–13-0.0415%16 Jul →
dust210–13-0.0520%16 Jul →
nuke6–13-0.0413%16 Jul →
dust210–13-0.0611%15 Jul →
office13–5-0.024%15 Jul →
cache13–9-0.0216%15 Jul →
cache0–20.020%15 Jul →
cache13–11-0.0412%12 Jul →
boulder13–11-0.0614%12 Jul →
anubis12–12-0.0616%12 Jul →
office13–11-0.1032%12 Jul →
nuke13–60.0312%12 Jul →
cache13–6-0.0420%11 Jul →
fachwerk13–11-0.0611%11 Jul →
office10–2-0.0318%11 Jul →
boulder13–3-0.0218%10 Jul →
dust210–13-0.0424%10 Jul →
vertigo10–13-0.094%10 Jul →
mirage7–13-0.097%10 Jul →
shelter10–13-0.0523%9 Jul →
fachwerk13–60.0012%9 Jul →
anubis12–12-0.106%7 Jul →
office9–13-0.034%7 Jul →
ancient14–16-0.0813%6 Jul →
inferno4–13-0.1111%6 Jul →
dust23–13-0.0615%6 Jul →
nuke5–13-0.109%5 Jul →
overpass3–13-0.0932%5 Jul →
cache8–13-0.038%5 Jul →
mirage10–13-0.0622%2 Jul →
nuke13–60.044%2 Jul →
cache3–13-0.079%2 Jul →
dust212–12-0.0616%2 Jul →
ancient13–11-0.0625%1 Jul →
train13–7-0.0033%1 Jul →
inferno0–13-0.0918%1 Jul →
dust28–13-0.0821%1 Jul →
dust25–13-0.0610%20 Jun →
cache13–4-0.0717%20 Jun →
train4–13-0.0715%18 Jun →
nuke5–13-0.1011%18 Jun →
mirage3–13-0.064%18 Jun →
nuke14–160.019%14 Jun →
inferno13–30.046%14 Jun →
inferno4–13-0.095%13 Jun →
ancient7–30.0113%13 Jun →
anubis13–10.0313%13 Jun →
office13–10-0.0613%13 Jun →
train13–40.0210%13 Jun →
vertigo13–50.0013%13 Jun →
dust213–9-0.0013%13 Jun →
inferno8–130.007%11 Jun →
dust213–7-0.016%11 Jun →
overpass13–4-0.049%11 Jun →
dust213–11-0.0113%11 Jun →
train13–100.036%11 Jun →
mirage10–13-0.0817%11 Jun →
dust213–9-0.0119%11 Jun →
vertigo12–12-0.057%11 Jun →
nuke6–13-0.0213%11 Jun →
dust213–8-0.0411%11 Jun →
dust25–13-0.0514%7 Jun →
nuke6–13-0.0810%7 Jun →
ancient4–130.026%7 Jun →
nuke16–13-0.0212%7 Jun →
nuke2–13-0.0610%6 Jun →
nuke3–13-0.0313%6 Jun →
inferno13–9-0.0711%6 Jun →
mirage9–13-0.0417%6 Jun →
nuke13–11-0.0513%6 Jun →
dust213–11-0.0312%6 Jun →
ancient7–13-0.0511%6 Jun →
anubis11–13-0.037%6 Jun →
office8–13-0.023%31 May →
inferno6–13-0.069%31 May →
nuke12–12-0.059%31 May →
mirage13–10-0.077%31 May →
anubis13–100.0110%31 May →
ancient13–20.1019%31 May →
dust28–13-0.054%31 May →
mirage4–13-0.1113%30 May →
overpass13–6-0.0913%30 May →
inferno11–13-0.080%30 May →

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 →

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