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LeProcess — CS2 Stats

76561197963700266[U:1:3434538]

2,644Tracked matches38%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPassive Rifler
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
CSDB Leaderboard#29041 of 48111 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGLeProcessFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning49
Utility68

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLLLLWLTLWL

Last 10 vs previous 10: -40pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.7
Aggression4.4
Utility6.8
Positioning4.9
Opening Duels1.2
Clutch6.8

Strong CT-side openerEffective flashes

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 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 52% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.7
Positioning4.9
Utility6.8
Mechanics6.8
Opening Duels2.7
Win Impact1.0

Composite 5.4/10 (Developing), 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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time608ms−34ms
first ⅓ avg 642ms → last ⅓ avg 608ms
Headshot accuracy13.5%−1.1%
first ⅓ avg 14.6% → last ⅓ avg 13.5%

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

0.14Best rating — anubis 10–13
13–0Biggest win — train
4Longest win streak
L4Current streak
7–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 56% over 18ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC2711–1641%0.02
nukeB2211–1150%-0.00
cacheA1810–856%0.03
anubisC146–843%0.01
ancientD82–625%-0.02
mirageC73–443%0.01
dust2—22–0100%0.01
train—22–0100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

248Matches
48%Win rate
1.24Avg K/D
81.5ADR
44%Headshot %

Clutches & streaks

54%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno7749%1.2816.9
Nuke6467%1.3917.6
Ancient3839%1.2515.5
Mirage3238%0.9914.9
Anubis1533%1.0916.7
Overpass1127%1.3616.6
Dust230%0.568.0
Vertigo20%0.304.0

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.

13.3%Headshot accuracy
39.2%Accuracy (enemy spotted)
40.6%Spray accuracy
80.4%Counter-strafing
11.5°Preaim
609msReaction time
18.0%T opening success
51.7%CT opening success
0.74Enemies flashed / flash
6.1%Flash assists
8.84HE damage / grenade
10.52Flashes / 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 13.2887% — 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 17.9644% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–130.0511%29 Aug →
ancient7–13-0.0115%29 Aug →
cache6–13-0.0119%29 Aug →
nuke11–130.019%29 Aug →
inferno13–7-0.0014%29 Aug →
nuke5–13-0.0310%16 Aug →
inferno15–150.0313%16 Aug →
ancient10–13-0.0118%16 Aug →
anubis13–10-0.0013%16 Aug →
inferno6–130.0320%16 Aug →
inferno9–13-0.0020%16 Aug →
mirage3–13-0.029%16 Aug →
mirage13–80.0611%15 Aug →
ancient8–0-0.0225%15 Aug →
anubis8–13-0.0711%15 Aug →
nuke13–5-0.0013%15 Aug →
inferno13–60.0213%15 Aug →
nuke13–7-0.0512%15 Aug →
cache8–13-0.0315%15 Aug →
dust213–11-0.0216%15 Aug →
inferno3–13-0.009%15 Aug →
nuke1–13-0.088%15 Aug →
inferno10–13-0.0116%15 Aug →
anubis10–130.147%15 Aug →
cache13–110.0414%15 Aug →
anubis10–13-0.049%15 Aug →
mirage13–100.1216%15 Aug →
cache9–130.0116%15 Aug →
cache13–70.0512%15 Aug →
inferno8–13-0.0610%15 Aug →
anubis10–13-0.0114%13 Aug →
cache10–13-0.0514%13 Aug →
cache13–11-0.0215%13 Aug →
inferno8–13-0.0213%8 Aug →
nuke13–11-0.0523%8 Aug →
mirage13–9-0.0313%8 Aug →
nuke6–13-0.0417%8 Aug →
nuke13–6-0.008%8 Aug →
inferno13–80.0812%8 Aug →
ancient13–16-0.0711%8 Aug →
anubis10–13-0.032%8 Aug →
cache13–70.0626%8 Aug →
mirage10–130.0221%8 Aug →
anubis9–13-0.039%8 Aug →
inferno16–130.1015%8 Aug →
nuke9–13-0.0018%8 Aug →
inferno13–110.0020%8 Aug →
cache13–100.0813%8 Aug →
nuke13–9-0.067%8 Aug →
inferno13–90.0216%7 Aug →
cache8–130.0316%2 Aug →
nuke13–8-0.0413%1 Aug →
nuke10–13-0.0224%1 Aug →
ancient10–13-0.076%1 Aug →
nuke7–130.0920%1 Aug →
nuke11–13-0.0713%1 Aug →
ancient13–110.048%1 Aug →
inferno13–50.0014%1 Aug →
anubis10–13-0.0211%1 Aug →
cache7–130.0611%1 Aug →
inferno3–13-0.088%27 Jul →
cache13–40.0314%27 Jul →
anubis16–140.0115%26 Jul →
cache9–13-0.0313%26 Jul →
train13–00.056%26 Jul →
mirage1–13-0.0611%26 Jul →
dust213–100.0313%25 Jul →
nuke5–13-0.0214%25 Jul →
inferno6–13-0.018%25 Jul →
nuke13–10.1224%25 Jul →
ancient7–13-0.038%25 Jul →
nuke13–90.068%25 Jul →
anubis13–2-0.0211%25 Jul →
train13–40.0720%25 Jul →
inferno7–130.0018%25 Jul →
nuke13–80.0122%24 Jul →
inferno13–40.0813%24 Jul →
anubis13–70.1320%23 Jul →
inferno13–60.0420%23 Jul →
anubis9–13-0.0327%22 Jul →
nuke9–130.0414%22 Jul →
cache13–100.0316%22 Jul →
nuke13–7-0.0514%20 Jul →
inferno7–13-0.0325%20 Jul →
nuke7–130.0419%19 Jul →
inferno6–130.0420%19 Jul →
cache13–100.0810%19 Jul →
inferno11–130.026%19 Jul →
nuke13–90.0711%19 Jul →
anubis13–80.0710%19 Jul →
cache15–150.0016%19 Jul →
inferno8–130.028%18 Jul →
mirage9–130.0123%18 Jul →
cache7–00.0610%18 Jul →
inferno10–13-0.018%18 Jul →
ancient9–13-0.0115%18 Jul →
inferno13–30.063%18 Jul →
anubis13–80.0511%17 Jul →
inferno13–60.0318%17 Jul →
cache13–70.089%17 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 →

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