Lou Boucher — CS2 Stats

76561197987096522[U:1:26830794]

769Tracked matches54%Win rate2020Tracked since
CSDB Rating4.7 Developing
Premier CS Rating13,223Blue band · top ~37.8% of ranked players (population est.)
CSDB Leaderboard#14783 of 21652 tracked
FaceitLevel 3 · 770 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGLou BoucherFACEITLevel 3 · 770 ELOSTANDINGTop 90.6% of rankedPREMIER13,223 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning36
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY50482Last 10050%Win rateWWLTWTWLWW

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating

Player DNA

Aim5.9
Aggression4.9
Utility6.4
Positioning3.6
Opening Duels0.8
Clutch0.4

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 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim5.9
Positioning3.6
Utility6.4
Mechanics5.0
Opening Duels1.6
Win Impact6.2

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time594ms−94ms
first ⅓ avg 689ms → last ⅓ avg 594ms
Headshot accuracy14.4%−0.4%
first ⅓ avg 14.8% → last ⅓ avg 14.4%

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

0.10Best rating — dust2 13–7
131Biggest win — inferno
6Longest win streak
W2Current streak
714In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 63% over 16nukeWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
ancientA1610663%-0.03
dust2B157847%-0.01
mirageC156940%-0.01
infernoB158753%-0.02
anubisB147750%-0.04
nukeC135838%-0.04
cacheA106460%-0.02
overpass21150%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

136Matches
47%Win rate
0.75Avg K/D
62.6ADR
45%Headshot %

Clutches & streaks

22%1v1 clutch win
6%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3158%0.7612.3
Dust22548%0.7512.5
Mirage1963%0.9011.9
Ancient1638%0.7012.8
Anubis1540%0.8513.2
Nuke1118%0.548.4
Train838%0.7112.4
Overpass667%0.8412.3

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.

15.3%Headshot accuracy
34.0%Accuracy (enemy spotted)
33.2%Spray accuracy
72.3%Counter-strafing
9.2°Preaim
585msReaction time
23.5%T opening success
42.8%CT opening success
0.72Enemies flashed / flash
5.7%Flash assists
11.53HE damage / grenade
7.80Flashes / 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 23.5345% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–110.019%27 Aug
ancient13–110.018%27 Aug
dust211–130.0326%27 Aug
cache15–15-0.0120%27 Aug
anubis13–8-0.0311%26 Aug
mirage15–15-0.0623%25 Aug
ancient13–110.0717%25 Aug
mirage11–13-0.048%25 Aug
mirage13–110.0318%20 Aug
nuke13–100.0610%20 Aug
ancient13–16-0.103%20 Aug
nuke13–11-0.0315%20 Aug
inferno13–30.0315%20 Aug
mirage6–13-0.058%19 Aug
ancient11–13-0.0918%19 Aug
nuke13–3-0.0710%19 Aug
dust213–8-0.0212%17 Aug
cache6–13-0.0111%17 Aug
ancient11–13-0.0411%17 Aug
anubis5–13-0.088%13 Aug
cache13–7-0.0215%13 Aug
inferno13–1-0.038%13 Aug
mirage13–90.0623%13 Aug
inferno11–13-0.0210%12 Aug
inferno13–6-0.0230%11 Aug
nuke10–13-0.0623%11 Aug
dust213–11-0.0338%11 Aug
cache11–13-0.0318%10 Aug
nuke11–13-0.0817%10 Aug
mirage6–130.049%10 Aug
inferno13–7-0.0510%10 Aug
anubis13–16-0.098%6 Aug
cache6–13-0.076%6 Aug
dust26–13-0.0120%4 Aug
ancient13–10-0.0419%4 Aug
ancient9–13-0.0216%4 Aug
anubis13–5-0.0212%4 Aug
nuke9–13-0.0112%3 Aug
ancient13–7-0.0118%3 Aug
anubis4–13-0.0819%3 Aug
ancient13–8-0.0417%30 Jul
cache13–10-0.0326%30 Jul
mirage13–60.0621%30 Jul
dust213–7-0.0416%29 Jul
nuke13–10-0.0813%29 Jul
ancient13–30.0229%29 Jul
inferno10–13-0.0517%29 Jul
anubis13–5-0.0112%29 Jul
nuke6–130.0137%29 Jul
dust213–9-0.0719%28 Jul
inferno13–80.0117%28 Jul
anubis11–13-0.0414%25 Jul
inferno7–13-0.0619%23 Jul
cache13–9-0.0124%23 Jul
mirage7–13-0.0611%23 Jul
nuke6–13-0.0619%23 Jul
inferno12–16-0.0417%22 Jul
ancient13–9-0.0414%22 Jul
cache13–9-0.0418%22 Jul
ancient13–6-0.0123%22 Jul
anubis13–10-0.0219%22 Jul
anubis5–13-0.1336%22 Jul
cache13–90.0220%20 Jul
dust210–13-0.0113%20 Jul
inferno5–130.046%20 Jul
inferno13–9-0.0512%20 Jul
dust213–70.1025%19 Jul
nuke13–6-0.039%19 Jul
anubis13–30.0123%19 Jul
dust28–13-0.0718%19 Jul
ancient13–110.0413%19 Jul
dust214–16-0.0125%19 Jul
mirage7–13-0.0510%18 Jul
ancient5–13-0.0524%16 Jul
cache13–9-0.0215%16 Jul
mirage12–16-0.0421%5 Jul
dust211–13-0.0210%5 Jul
nuke11–13-0.0316%5 Jul
dust213–80.0414%4 Jul
anubis7–13-0.026%29 Jun
inferno13–70.0320%29 Jun
mirage16–12-0.0010%29 Jun
ancient13–5-0.0512%27 Jun
dust26–13-0.1112%27 Jun
inferno9–13-0.0119%27 Jun
anubis13–60.0118%27 Jun
mirage2–1-0.070%27 Jun
mirage13–6-0.0215%26 Jun
overpass14–16-0.0313%25 Jun
mirage16–120.0625%25 Jun
inferno13–7-0.0617%24 Jun
mirage7–130.019%19 Jun
overpass13–50.0925%17 Jun
dust211–13-0.0424%17 Jun
dust213–20.0618%17 Jun
ancient4–13-0.0617%15 Jun
inferno10–13-0.0215%15 Jun
nuke10–13-0.063%11 Jun
anubis5–13-0.057%11 Jun
nuke7–13-0.058%10 Jun

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 →