VerDe:D

VerDe:D — CS2 Stats

FI76561198040364311[U:1:80098583]Steam profile ↗VAC banned

962Tracked matches45%Win rate2020Tracked since
3,815Hours in CS13Hrs last 2 wks
CSDB Rating5.5 SolidHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim68
Positioning53
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY42508Last 10042%Win rateLTLLLWWWLW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim6.8
Aggression6.9
Utility6.2
Positioning5.3
Opening Duels1.7
Clutch5.2

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: positioning profile, 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. 603ms 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

Aim6.8
Positioning5.3
Utility6.2
Mechanics6.2
Opening Duels1.7
Win Impact3.3

Composite 5.5/10 (Solid), 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+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time610ms−56ms
first ⅓ avg 666ms → last ⅓ avg 610ms
Headshot accuracy19.1%+2.1%
first ⅓ avg 17.0% → last ⅓ avg 19.1%

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

0.11Best rating — inferno 13–4
131Biggest win — nuke
4Longest win streak
410In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 63% over 16infernoWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB22111150%0.00
dust2C2071335%-0.00
nukeA1610663%0.01
infernoD1421214%-0.00
cacheB126650%0.01
anubisC73443%0.01
ancientD72529%0.01
train21150%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,555Lifetime kills
0.94K/D
5,228Matches
51.9%Match win rate · Top 25% of tracked players
48.9%Headshot % · Top 50% of tracked players
14.9%Shot accuracy · Top 50% of tracked players
12,984MVPs
2,598Hours (in match)
5,753Bombs planted
1,299Bombs defused

Most-used weapons

AK-4754,187
AWP12,343
P2503,466
FAMAS2,400
Tec-92,112

Lifetime map wins

10,761dust2
7,325inferno
4,328nuke
2,377train
1,635cbble
394vertigo
82dust
61aztec

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

Faceit stats

Combat

1,742Matches
60%Win rate
0.94Avg K/D
71.5ADR
45%Headshot %

Clutches & streaks

46%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage15556%0.9113.9
Dust28660%0.8813.3
Nuke7359%0.9414.3
Anubis5456%1.0715.7
Inferno4443%0.8312.9
Ancient2370%1.0014.6
Train757%0.7411.7
Cache667%0.9511.5

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.

19.0%Headshot accuracy
34.7%Accuracy (enemy spotted)
39.5%Spray accuracy
77.8%Counter-strafing
10.6°Preaim
603msReaction time
32.2%T opening success
41.4%CT opening success
0.63Enemies flashed / flash
12.2%Flash assists
8.81HE damage / grenade
11.78Flashes / 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 32.1852% — 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.

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0018%27 Aug
inferno12–120.0119%27 Aug
inferno7–13-0.0124%26 Aug
nuke11–130.0714%22 Aug
dust25–13-0.0319%22 Aug
cache13–40.1019%22 Aug
anubis13–50.0717%20 Aug
mirage13–70.0313%19 Aug
cache3–13-0.0414%10 Aug
dust213–10-0.0215%13 Jun
cache8–13-0.016%31 May
cache11–130.0221%24 May
cache13–40.0122%24 May
nuke13–8-0.0415%22 May
mirage10–13-0.0012%19 May
dust27–13-0.0821%19 May
cache13–100.0422%14 May
cache13–70.0923%13 May
cache9–13-0.0431%13 May
cache3–7-0.1220%10 May
cache13–70.0523%9 May
nuke9–13-0.0020%9 May
cache13–90.0019%9 May
inferno9–130.0217%17 Apr
mirage5–130.0024%6 Apr
nuke13–80.0224%3 Apr
dust213–8-0.0120%3 Apr
anubis5–130.0328%19 Mar
dust27–130.0221%18 Mar
nuke13–80.0113%18 Mar
mirage11–13-0.049%17 Mar
ancient11–130.0321%13 Mar
inferno7–13-0.0428%13 Mar
mirage13–70.0415%13 Mar
dust27–130.0720%10 Mar
mirage13–40.0610%10 Mar
mirage13–100.0226%9 Mar
nuke10–130.0114%7 Mar
dust211–13-0.0423%5 Mar
ancient13–9-0.0217%5 Mar
ancient13–80.0320%26 Feb
dust213–90.1029%26 Feb
anubis13–10-0.027%24 Feb
inferno2–13-0.0817%24 Feb
dust215–190.0114%23 Feb
dust213–60.0729%17 Feb
nuke13–80.0529%17 Feb
nuke13–11-0.0212%16 Feb
mirage13–160.0617%11 Feb
dust213–160.0526%10 Feb
mirage13–60.0820%10 Feb
mirage13–8-0.0120%9 Feb
mirage19–22-0.0313%7 Feb
inferno11–13-0.0213%6 Feb
mirage13–9-0.048%3 Feb
dust23–13-0.0641%2 Feb
anubis17–19-0.029%30 Jan
nuke13–9-0.0211%30 Jan
mirage12–12-0.0116%27 Jan
inferno11–13-0.0125%27 Jan
dust27–13-0.0516%7 Jan
inferno8–120.0422%6 Jan
ancient8–13-0.0119%18 Dec
mirage4–13-0.0424%15 Dec
ancient15–150.0220%15 Dec
nuke14–16-0.0321%11 Dec
ancient10–130.0415%7 Dec
nuke12–120.0018%26 Nov
dust27–130.0221%25 Nov
nuke16–130.0516%25 Nov
train14–160.0117%23 Nov
mirage5–13-0.0611%17 Nov
inferno8–13-0.0216%28 Sept
mirage7–13-0.0225%18 Sept
dust27–13-0.0215%18 Sept
nuke13–1-0.0121%28 Aug
mirage16–14-0.0712%26 Aug
mirage12–120.0017%31 Jul
dust212–120.0124%31 Jul
inferno7–13-0.0413%21 Jul
nuke13–30.0523%21 Jul
dust216–14-0.0817%14 Jul
anubis12–120.0425%7 Jul
inferno13–70.0214%25 Jun
train13–70.0620%25 Jun
mirage9–13-0.0518%24 Jun
ancient5–13-0.0312%24 Jun
inferno10–130.0318%24 Jun
dust25–13-0.0218%24 Jun
mirage13–90.0612%24 Jun
anubis6–130.0024%17 Jun
inferno5–13-0.075%17 Jun
anubis16–12-0.017%17 Jun
mirage13–90.0513%17 Jun
dust213–40.0122%10 Jun
nuke15–15-0.0120%10 Jun
inferno13–40.1114%7 Jun
mirage13–4-0.0222%3 Jun
dust213–5-0.0319%30 May
nuke16–140.0215%1 May

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →