Leckter — CS2 Stats

76561197999563040[U:1:39297312]✓ No bans

1,935Tracked matches47%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPassive Rifler
FaceitLevel 6 · 1,166 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGLeckterFACEITLevel 6 · 1,166 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning47
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateLLLLWWWLLW

Last 10 vs previous 10: -10pp win rate · +0.04 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression3.1
Utility6.4
Positioning4.7
Opening Duels0.4
Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

Areas to improve

Reaction time. 595ms 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

Aim7.3
Positioning4.7
Utility6.4
Mechanics6.4
Opening Duels0.7
Win Impact3.9

Composite 5.0/10 (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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time605ms+29ms
first ⅓ avg 576ms → last ⅓ avg 605ms
Headshot accuracy14.0%−0.7%
first ⅓ avg 14.7% → last ⅓ avg 14.0%

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.

Highlights

0.21Best rating — inferno 9–3
132Biggest win — mirage
4Longest win streak
L4Current streak
79In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 100% over 5dust2Weakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB46222448%-0.02
ancientB158753%-0.02
dust2D112918%-0.02
cacheA85363%-0.01
overpassC83538%-0.03
mirageS550100%0.04
anubis43175%0.04
train1010%-0.06
nuke1010%-0.13
vertigo110100%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,145Matches
50%Win rate
0.95Avg K/D
69.3ADR
35%Headshot %

Clutches & streaks

37%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno29362%0.9813.6
Ancient24746%0.8914.3
Anubis14541%0.8813.9
Overpass6060%0.9013.0
Dust25838%0.8013.1
Vertigo3839%0.8714.5
Mirage2928%0.7412.2
Cache2348%0.8413.7

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.

14.2%Headshot accuracy
40.2%Accuracy (enemy spotted)
44.2%Spray accuracy
78.9%Counter-strafing
11.0°Preaim
595msReaction time
35.5%T opening success
27.6%CT opening success
0.59Enemies flashed / flash
5.2%Flash assists
10.09HE damage / grenade
9.84Flashes / 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 14.2284% — below the 15% mark we flag

    Aim Training
  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 35.4795% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0311%4 Aug
dust29–13-0.029%24 Jul
dust27–130.0016%22 Jul
inferno6–13-0.0415%22 Jul
cache13–50.0617%9 Jul
cache13–50.0313%8 Jul
anubis13–30.1510%7 Jul
anubis9–13-0.0414%7 Jul
cache6–13-0.067%7 Jul
ancient13–70.0428%1 Jul
inferno13–7-0.0217%26 Jun
ancient6–13-0.0820%26 Jun
ancient1–13-0.0214%19 Jun
ancient11–13-0.0516%9 Jun
inferno13–7-0.0211%28 May
inferno13–100.0113%27 May
inferno9–130.0310%26 May
cache13–7-0.0613%25 May
cache19–17-0.0220%25 May
inferno10–13-0.0420%19 May
ancient13–70.006%16 May
cache13–10-0.018%16 May
ancient13–110.0010%13 May
cache11–13-0.0412%12 May
inferno6–130.0117%8 May
inferno13–30.0710%8 May
cache11–13-0.0116%8 May
inferno7–9-0.0415%8 May
inferno8–13-0.0620%6 May
inferno13–30.0321%27 Apr
inferno9–7-0.0219%24 Apr
inferno4–9-0.224%24 Apr
inferno6–9-0.1314%24 Apr
inferno9–130.0015%12 Mar
mirage13–20.092%12 Mar
inferno9–5-0.063%27 Feb
inferno9–6-0.0415%20 Feb
dust211–13-0.0212%18 Feb
ancient8–13-0.0411%18 Feb
inferno9–13-0.089%12 Feb
anubis13–80.0513%10 Feb
overpass11–13-0.0323%10 Feb
ancient13–40.0417%7 Feb
dust215–15-0.048%7 Feb
dust23–13-0.0418%7 Feb
inferno2–9-0.1011%6 Feb
inferno11–13-0.038%3 Feb
dust213–60.0215%3 Feb
inferno9–3-0.0225%1 Feb
inferno13–80.068%29 Jan
dust26–130.0018%29 Jan
ancient5–13-0.095%29 Jan
inferno13–4-0.0122%28 Jan
inferno13–5-0.087%27 Jan
mirage13–10-0.038%27 Jan
inferno6–130.0113%26 Jan
inferno0–13-0.084%26 Jan
anubis16–120.014%26 Jan
inferno9–7-0.0119%25 Jan
ancient13–11-0.009%24 Jan
inferno9–13-0.0710%24 Jan
train4–13-0.063%9 Jan
overpass7–13-0.0714%28 Nov
ancient6–00.010%28 Nov
mirage13–50.059%28 Nov
ancient16–13-0.027%26 Nov
nuke3–9-0.138%21 Nov
inferno8–130.0312%20 Nov
dust26–13-0.0713%20 Nov
overpass8–80.0022%18 Nov
inferno9–70.0015%14 Nov
inferno13–7-0.0114%12 Nov
mirage13–80.009%12 Nov
ancient13–60.019%9 Nov
dust211–13-0.0314%9 Nov
vertigo9–10.1121%8 Nov
dust25–13-0.0213%7 Nov
overpass13–8-0.0511%25 Oct
ancient2–13-0.0925%23 Oct
inferno13–10-0.0119%23 Oct
inferno8–8-0.1224%16 Oct
inferno13–9-0.0218%26 Sept
overpass4–130.0111%25 Sept
inferno10–130.0217%23 Sept
inferno10–13-0.038%23 Sept
dust216–14-0.0615%16 Sept
inferno9–13-0.0112%12 Sept
overpass13–8-0.0110%12 Sept
overpass13–80.0016%12 Sept
inferno13–30.0523%28 Aug
inferno7–130.017%17 Aug
mirage13–40.0917%17 Aug
inferno8–80.028%16 Jul
inferno13–30.0116%12 Jul
inferno9–10.018%11 Jul
inferno8–8-0.109%11 Jul
inferno9–20.1421%10 Jul
overpass4–9-0.0614%10 Jul
inferno7–9-0.0511%6 Jul
inferno9–30.2126%6 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →