☭ Lenin — CS2 Stats

76561198005900969[U:1:45635241]

547Tracked matches59%Win rate2020Tracked since
CSDB Rating6.8 SolidAggressive Rifler
Premier CS Rating26,619Top 25% of 819 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#1189 of 17055 tracked
FaceitLevel 8 · 1,757 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG☭ LeninFACEITLevel 8 · 1,757 ELOSTANDINGTop 31.2% of rankedPREMIER26,619 · Red bandcsdb.gg/stats

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Performance scores

Aim79
Positioning52
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY62335Last 10062%Win rateWTWLWLWLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression8.0
Utility6.2
Positioning5.2
Opening Duels3.0
Clutch1.8

Effective 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

b1t

Plays most like b1t 92% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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. 593ms 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

Aim7.9
Positioning5.2
Utility6.2
Mechanics6.8
Opening Duels3.0
Win Impact8.1

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time589ms−46ms
first ⅓ avg 635ms → last ⅓ avg 589ms
Headshot accuracy22.4%−2.5%
first ⅓ avg 24.9% → last ⅓ avg 22.4%

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

0.16Best rating — mirage 13–8
131Biggest win — anubis
7Longest win streak
84In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 80% over 5infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2S2820871%0.01
mirageA2415963%0.01
cacheS1410471%0.01
ancientB105550%-0.02
infernoC83538%0.01
nukeS54180%0.05
train4040%-0.00
overpass43175%0.01
anubis32167%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

385Matches
56%Win rate
1.04Avg K/D
78.0ADR
50%Headshot %

Clutches & streaks

29%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust23253%1.2418.2
Mirage2560%0.9314.6
Anubis2255%0.9813.6
Ancient2162%1.0815.4
Nuke1127%1.0715.6
Vertigo1040%1.0215.2
Inferno1030%1.1219.0
Cache250%1.2016.5

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.

21.9%Headshot accuracy
33.2%Accuracy (enemy spotted)
40.6%Spray accuracy
80.8%Counter-strafing
8.0°Preaim
593msReaction time
39.9%T opening success
44.4%CT opening success
0.73Enemies flashed / flash
7.1%Flash assists
6.99HE damage / grenade
14.07Flashes / 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 39.9424% — below the 40% mark we flag

Spend your practice time on Inferno

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 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache7–20.0028%27 Aug
cache12–120.1020%26 Aug
ancient13–10-0.0212%25 Aug
mirage5–13-0.0432%25 Aug
dust213–60.0725%23 Aug
mirage7–13-0.0414%19 Aug
ancient13–11-0.0223%16 Aug
ancient0–13-0.010%15 Aug
dust213–9-0.0029%15 Aug
train4–13-0.0812%13 Aug
ancient15–15-0.0713%4 Aug
inferno8–13-0.0524%4 Aug
ancient6–13-0.0129%4 Aug
cache13–7-0.0126%4 Aug
dust212–12-0.0325%28 Jul
dust213–30.0647%28 Jul
mirage9–130.0422%28 Jul
cache13–90.0120%28 Jul
dust213–7-0.0227%24 Jul
mirage1–12-0.098%24 Jul
dust228–250.0016%23 Jul
dust213–10-0.0211%21 Jul
mirage13–90.0119%21 Jul
ancient3–13-0.0521%21 Jul
mirage0–13-0.0767%21 Jul
mirage13–60.0221%20 Jul
anubis13–10.1519%20 Jul
nuke13–40.0231%20 Jul
cache13–2-0.0015%20 Jul
dust28–13-0.0229%20 Jul
mirage13–80.1614%20 Jul
anubis13–20.0125%17 Jul
anubis6–13-0.0616%17 Jul
mirage0–4-0.0220%16 Jul
inferno13–3-0.0431%16 Jul
dust213–10-0.0130%16 Jul
mirage16–13-0.0518%14 Jul
mirage13–20.0024%14 Jul
dust213–16-0.0216%14 Jul
nuke4–13-0.0845%14 Jul
ancient13–50.0220%14 Jul
dust215–150.0217%14 Jul
dust213–11-0.0318%11 Jul
mirage13–110.0227%11 Jul
cache13–9-0.0316%11 Jul
mirage10–13-0.0226%10 Jul
dust213–50.0329%10 Jul
mirage13–40.1224%9 Jul
mirage13–110.0017%9 Jul
cache13–5-0.0020%9 Jul
mirage13–100.0118%8 Jul
dust213–10-0.0134%8 Jul
cache13–30.0140%6 Jul
dust28–130.0130%6 Jul
dust213–60.0923%5 Jul
overpass13–100.0115%5 Jul
cache4–13-0.0315%1 Jul
cache6–13-0.0418%1 Jul
overpass13–10-0.0113%29 Jun
mirage8–130.0224%29 Jun
dust216–130.0526%28 Jun
mirage13–50.0743%27 Jun
mirage13–30.0414%27 Jun
nuke13–60.1332%26 Jun
cache11–130.0424%26 Jun
ancient2–13-0.0717%24 Jun
ancient13–10-0.0126%24 Jun
train11–13-0.0324%24 Jun
inferno13–30.1022%23 Jun
dust213–80.0137%23 Jun
cache13–100.0224%19 Jun
mirage13–40.0326%19 Jun
cache13–70.0528%19 Jun
mirage13–60.0943%18 Jun
train10–130.0929%17 Jun
train7–130.0017%17 Jun
dust213–80.0720%15 Jun
inferno8–13-0.0222%11 Jun
mirage13–40.1319%11 Jun
dust213–2-0.0222%11 Jun
dust213–7-0.0317%10 Jun
dust211–13-0.0120%10 Jun
dust213–50.0116%7 Jun
nuke13–30.1225%7 Jun
mirage13–11-0.0721%4 Jun
overpass10–13-0.0322%3 Jun
cache13–110.0728%3 Jun
dust213–40.0238%3 Jun
inferno9–130.0731%3 Jun
ancient13–70.0026%2 Jun
dust212–12-0.0023%2 Jun
dust213–50.0332%2 Jun
dust212–160.0321%1 Jun
nuke13–110.0627%1 Jun
mirage7–13-0.0311%1 Jun
inferno6–13-0.0420%31 May
overpass16–140.0618%29 May
inferno13–30.0238%29 May
dust213–6-0.0124%28 May
inferno11–130.0332%28 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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