vapelordnorm — CS2 Stats

76561198119566250[U:1:159300522]✓ No bans

1,012Tracked matches41%Win rate2020Tracked since
1,884Hours in CS
CSDB Rating3.0 Learning
FaceitLevel 5 · 1,076 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGvapelordnormFACEITLevel 5 · 1,076 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim38
Positioning44
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateLWWWLLWLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Aim3.8
Aggression6.0
Utility4.4
Positioning4.4
Opening Duels1.6
Clutch2.4

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 79% playstyle similarity

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

Where you differ: lower utility contribution; 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 50% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8
Positioning4.4
Utility4.4
Mechanics1.5
Opening Duels2.5
Win Impact2.1

Composite 3.0/10 (Learning), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time633ms+42ms
first ⅓ avg 591ms → last ⅓ avg 633ms
Headshot accuracy21.4%+6.2%
first ⅓ avg 15.1% → last ⅓ avg 21.4%

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

0.21Best rating — inferno 13–1
131Biggest win — inferno
8Longest win streak
78In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 71% over 14ancientWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A2012860%-0.01
ancientD1651131%-0.01
nukeS1510567%-0.00
mirageA148657%-0.02
infernoS1410471%0.01
overpassD134931%-0.02
anubisS75271%-0.01
cache1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,634Lifetime kills
0.86K/D
3,872Matches
46.8%Match win rate · Top 50% of tracked players
31.9%Headshot %
16.5%Shot accuracy · Top 25% of tracked players
10,547MVPs
1,884Hours (in match)
3,174Bombs planted
876Bombs defused

Most-used weapons

AWP25,018
AK-4714,516
SSG 081,835
FAMAS1,153
Knife1,047

Lifetime map wins

6,807dust2
5,537inferno
3,667office
2,364train
2,339nuke
1,859vertigo
504cbble
32italy

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

Faceit stats

Combat

712Matches
49%Win rate
1.02Avg K/D
78.4ADR
30%Headshot %

Clutches & streaks

32%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2250%1.0615.6
Inferno2060%0.9514.6
Ancient1753%1.0715.7
Vertigo1346%0.9615.9
Nuke1346%1.3015.7
Dust21250%1.0416.2
Anubis922%0.579.8
Overpass812%0.8014.1

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.

21.1%Headshot accuracy
30.5%Accuracy (enemy spotted)
36.7%Spray accuracy
56.6%Counter-strafing
11.6°Preaim
643msReaction time
22.9%T opening success
49.9%CT opening success
0.59Enemies flashed / flash
7.4%Flash assists
7.94HE damage / grenade
4.51Flashes / 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 22.9236% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0218%16 Jul
dust213–10-0.0118%13 Jul
mirage13–40.0115%11 Jul
nuke13–60.009%23 Jun
overpass6–13-0.0810%23 Jun
dust210–13-0.0436%22 Jun
dust213–10-0.0412%22 Jun
nuke8–130.0319%22 Jun
ancient13–9-0.0115%20 Jun
inferno13–90.0221%20 Jun
ancient11–130.0223%20 Jun
nuke13–40.0017%20 Jun
ancient13–11-0.0722%20 Jun
overpass9–13-0.0422%18 Jun
dust213–70.0413%18 Jun
overpass5–13-0.0016%18 Jun
dust27–13-0.0524%13 Jun
mirage10–13-0.0020%12 Jun
ancient8–13-0.0117%12 Jun
mirage5–13-0.0732%12 Jun
inferno4–13-0.0619%12 Jun
nuke13–8-0.0130%12 Jun
overpass8–13-0.0033%12 Jun
nuke13–6-0.0019%11 Jun
overpass8–13-0.0313%11 Jun
ancient15–15-0.0325%11 Jun
ancient6–13-0.093%10 Jun
anubis11–13-0.0422%10 Jun
dust213–9-0.0412%5 Jun
inferno0–13-0.09100%5 Jun
dust210–13-0.0524%5 Jun
mirage13–6-0.096%5 Jun
inferno13–10.2121%5 Jun
dust213–11-0.0725%5 Jun
anubis13–6-0.046%5 Jun
mirage13–30.0315%5 Jun
dust213–11-0.0320%5 Jun
overpass13–10-0.0511%4 Jun
dust213–11-0.0116%4 Jun
dust22–13-0.0536%1 Jun
inferno16–130.0225%31 May
ancient8–13-0.0022%31 May
overpass15–150.0318%31 May
nuke13–80.0416%31 May
dust211–13-0.0116%31 May
ancient13–60.0726%31 May
dust211–130.0612%31 May
dust213–70.0228%31 May
mirage13–90.0116%30 May
nuke9–13-0.0311%30 May
inferno2–13-0.0729%20 May
ancient6–130.0323%20 May
nuke13–60.0138%20 May
dust216–130.0023%20 May
overpass13–40.0414%20 May
nuke13–50.0313%20 May
mirage16–14-0.0219%19 May
anubis16–13-0.0018%18 May
overpass9–13-0.0615%18 May
inferno13–60.0117%18 May
mirage8–130.0121%18 May
nuke13–90.1027%18 May
dust213–10-0.0319%17 May
ancient13–70.0322%17 May
mirage13–70.0919%17 May
nuke13–70.0214%17 May
overpass14–16-0.0113%14 May
anubis13–70.0824%14 May
inferno13–110.0210%14 May
nuke5–13-0.1019%14 May
dust213–8-0.0120%13 May
ancient9–130.0334%13 May
inferno13–50.0214%13 May
ancient13–80.0111%13 May
dust210–130.0118%12 May
nuke13–10-0.0611%12 May
inferno11–13-0.0118%12 May
mirage13–8-0.0615%12 May
overpass9–13-0.0619%12 May
ancient9–13-0.048%11 May
dust29–130.0124%11 May
mirage4–13-0.0522%9 May
overpass13–2-0.0314%9 May
inferno13–10-0.0513%1 May
ancient10–130.0017%30 Apr
mirage6–13-0.0320%30 Apr
cache11–13-0.0210%29 Apr
ancient5–13-0.078%27 Apr
overpass13–40.0123%27 Apr
mirage13–6-0.0213%27 Apr
dust211–20.030%25 Apr
anubis13–80.015%25 Apr
inferno13–20.0519%25 Apr
mirage11–13-0.0517%24 Apr
ancient4–13-0.1213%24 Apr
anubis9–13-0.088%23 Apr
nuke7–13-0.0322%23 Apr
inferno13–60.047%23 Apr
inferno13–10-0.038%20 Apr
anubis13–11-0.0117%20 Apr

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 →