lakiril

lakiril — CS2 Stats

RS76561198142453843[U:1:182188115]Steam profile ↗✓ No bans

813Tracked matches31%Win rate2021Tracked since
1,116Hours in CS37Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
FaceitLevel 7 · 898 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,640 +6,601 2 Jun – 18 Oct · 38 days played
6,94116,816peak 16,8162 Jun18 Oct
Faceit ELO: 898 +0 20 Sept – 28 Sept · 3 observations
898898peak 89820 Sept28 Sept
17,027Peak Premier in tracked matches
898Highest Faceit ELO seen on CSDB
61Days played since 2026-05-31

Faceit ELO

  • At peak — 898
  • Next: Level 4 at 901 — 3 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-20
  • Level 2 first seen 2026-09-20

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.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,948), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate45.1%45.7%46.8%1.7% short
Shot accuracy9.5%12.7%13.0%3.5% short
Kill/death ratio0.891.051.060.17 short
Match win rate42.2%45.7%46.3%4.1% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGlakirilFACEITLevel 7 · 898 ELOSTANDINGTop 42.3% of rankedPEAK ELO898csdb.gg/stats

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Performance scores

Aim61
Positioning50
Utility56

0–100 skill scores via Leetify.

Recent form

COLD48–51–1Last 10048%Win rateLLWWLLLWLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −4.0pp headshot accuracy · +1ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 656ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 620ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 620ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim6.1
Utility5.6
Positioning5.0
Opening Duels1.3
Clutch4.2

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 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. 609ms 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

Aim6.1
Positioning5.0
Utility5.6
Mechanics6.7
Opening Duels1.8
Win Impact0.0

Composite 4.4/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time615ms−89ms
first ⅓ avg 704ms → last ⅓ avg 615ms
Headshot accuracy17.8%−1.6%
first ⅓ avg 19.4% → last ⅓ avg 17.8%

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

0.15Best match rating · 13–1 · mirage, 21 Jun →
39%Best headshot accuracy · 13–7 · dust2, 9 Jun →
406msFastest reaction time · 7–13 · ancient, 4 Sept →
13–0Biggest win · ancient, 8 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 56% over 34ancientWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA3419–1556%0.01
dust2C188–1044%0.01
ancientC146–843%-0.01
infernoB126–650%-0.00
nukeB84–450%0.02
anubis—42–250%-0.01
overpass—40–40%-0.04
cache—22–0100%0.02
debris—10–10%-0.17
office—10–10%-0.01
vertigo—10–10%-0.10
train—11–0100%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,271Lifetime kills
0.89K/D
1,539Matches
42.2%Match win rate
45.1%Headshot %
9.5%Shot accuracy
2,574MVPs
628Hours (in match)
1,260Bombs planted
248Bombs defused

Most-used weapons

Lifetime map wins

2,403dust2
1,878inferno
421nuke
193vertigo
156train
121office
11safehouse
8cbble

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

Faceit stats

Combat

585Matches
50%Win rate
0.95Avg K/D
71.1ADR
45%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage18247%0.9413.6
Dust214444%0.9113.8
Ancient7864%1.0715.5
Inferno4363%1.0414.5
Anubis4134%0.9114.2
Cache2552%1.0315.6
Overpass2370%1.0614.0
Nuke1567%0.9713.7

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.

17.8%Headshot accuracy
33.6%Accuracy (enemy spotted)
37.3%Spray accuracy
80.0%Counter-strafing
11.5°Preaim
609msReaction time
33.5%T opening success
40.9%CT opening success
0.59Enemies flashed / flash
7.7%Flash assists
6.85HE damage / grenade
9.26Flashes / 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. 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 33.5158% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0216%14 Nov →
debris1–9-0.1714%13 Nov →
dust213–7-0.0222%3 Nov →
cache13–2-0.0016%18 Oct →
ancient11–13-0.0220%14 Oct →
dust28–130.0213%13 Oct →
nuke7–13-0.0016%13 Oct →
anubis13–9-0.0316%12 Oct →
mirage10–130.043%12 Oct →
mirage3–130.0424%9 Oct →
mirage13–10-0.0113%8 Oct →
ancient13–00.0724%8 Oct →
inferno12–160.0414%7 Oct →
mirage3–130.0027%1 Oct →
nuke4–13-0.1114%1 Oct →
dust210–13-0.0422%30 Sept →
dust214–16-0.0028%29 Sept →
anubis13–70.0013%26 Sept →
inferno10–13-0.0520%23 Sept →
inferno0–6-0.0525%22 Sept →
cache16–120.0323%20 Sept →
ancient3–13-0.0610%19 Sept →
ancient9–130.0819%8 Sept →
office9–13-0.0124%6 Sept →
ancient7–13-0.0312%4 Sept →
ancient13–100.0223%30 Aug →
mirage10–13-0.0218%29 Aug →
ancient13–7-0.0213%28 Aug →
mirage12–160.0316%28 Aug →
vertigo5–9-0.1015%27 Aug →
mirage15–150.0319%27 Aug →
mirage11–13-0.0614%26 Aug →
mirage13–50.0522%26 Aug →
mirage13–10.0510%25 Aug →
inferno13–20.0119%24 Aug →
mirage8–13-0.0229%23 Aug →
inferno13–5-0.0010%23 Aug →
dust213–70.0720%23 Aug →
nuke13–16-0.0117%22 Aug →
inferno13–70.0933%22 Aug →
mirage1–13-0.0416%27 Jul →
dust213–6-0.0421%19 Jul →
anubis11–13-0.019%12 Jul →
mirage13–30.0716%12 Jul →
ancient7–13-0.0512%12 Jul →
nuke13–30.0923%9 Jul →
mirage13–100.0721%9 Jul →
mirage9–00.1419%8 Jul →
ancient11–130.0421%5 Jul →
mirage13–40.009%4 Jul →
mirage5–13-0.118%3 Jul →
mirage13–50.0425%3 Jul →
dust27–130.0322%2 Jul →
nuke2–13-0.0411%2 Jul →
inferno7–13-0.0219%1 Jul →
ancient7–13-0.0422%29 Jun →
dust213–70.0721%27 Jun →
nuke13–00.0827%27 Jun →
mirage3–13-0.0319%26 Jun →
mirage13–10-0.0220%26 Jun →
mirage13–10.0823%26 Jun →
dust24–13-0.0211%25 Jun →
overpass0–3-0.0617%25 Jun →
ancient13–7-0.046%25 Jun →
overpass10–130.0111%25 Jun →
inferno13–90.0014%25 Jun →
inferno13–16-0.0319%24 Jun →
mirage13–70.0813%24 Jun →
mirage13–80.0625%24 Jun →
nuke13–110.0618%24 Jun →
overpass10–130.0119%24 Jun →
ancient10–13-0.0218%24 Jun →
mirage13–40.1016%24 Jun →
ancient16–14-0.0418%24 Jun →
mirage13–10.1529%21 Jun →
mirage16–140.0023%21 Jun →
dust21–130.0324%21 Jun →
train13–110.0919%20 Jun →
overpass3–13-0.1013%20 Jun →
dust213–50.0514%19 Jun →
mirage13–10-0.0227%17 Jun →
dust213–50.0322%16 Jun →
dust24–13-0.0221%16 Jun →
mirage13–5-0.0218%15 Jun →
inferno13–110.0016%12 Jun →
mirage13–80.0018%10 Jun →
dust213–7-0.0339%9 Jun →
dust213–20.1029%9 Jun →
inferno13–60.0111%6 Jun →
dust210–130.0326%5 Jun →
mirage3–13-0.0419%4 Jun →
inferno5–13-0.0115%4 Jun →
mirage6–13-0.0713%3 Jun →
nuke13–80.0819%3 Jun →
mirage0–13-0.130%3 Jun →
anubis9–13-0.0020%2 Jun →
dust23–13-0.0726%2 Jun →
mirage13–10.0225%2 Jun →
mirage11–13-0.0212%1 Jun →
ancient13–9-0.0516%31 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.