deafblind

deafblind — CS2 Stats

76561199059276054[U:1:1099010326]Steam profile ↗✓ No bans

1,175Tracked matches43%Win rate2020Tracked since
1,428Hours in CS
CSDB Rating3.6 Learning
Ladder ranks via Leetify

Performance scores

Aim40
Positioning41
Utility60

0–100 skill scores via Leetify.

Recent form

COLD48511Last 10048%Win rateWWLLLLWLLL

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

Player DNA

Aim4.0
Aggression3.7
Utility6.0
Positioning4.1
Opening Duels0.0
Clutch3.8

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: utility contribution, opening-fight frequency.

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

Reaction time. 656ms 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

Aim4.0
Positioning4.1
Utility6.0
Mechanics4.9
Opening Duels0.4
Win Impact2.8

Composite 3.6/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time645ms−29ms
first ⅓ avg 674ms → last ⅓ avg 645ms
Headshot accuracy17.6%+0.7%
first ⅓ avg 16.9% → last ⅓ avg 17.6%

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

0.20Best rating — nuke 13–2
130Biggest win — cache
7Longest win streak
W2Current streak
710In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 60% over 20infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B28131546%0.02
mirageA2012860%0.01
ancientB178947%-0.02
nukeB157847%0.01
infernoD72529%-0.03
anubisD72529%-0.03
cache330100%-0.02
shelter1010%-0.05
office1010%-0.06
vertigo110100%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

136,630Lifetime kills
2.01K/D · Top 5% of tracked players
1,986Matches
40.7%Match win rate
71.6%Headshot % · Top 1% of tracked players
7.8%Shot accuracy
7,501MVPs
1,428Hours (in match)
1,661Bombs planted
1,513Bombs defused

Most-used weapons

AK-4769,738
AWP6,347
FAMAS3,294
MP91,761
MAC-101,035

Lifetime map wins

3,300dust2
2,480inferno
2,316nuke
1,311vertigo
411train
123office
102italy
100aztec

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

Faceit stats

Combat

471Matches
48%Win rate
0.78Avg K/D
71.8ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage9851%1.0113.3
Dust24652%1.1115.4
Ancient4445%0.6811.6
Inferno3956%0.9212.8
Nuke3951%0.8713.6
Anubis3546%0.8013.4
Vertigo729%0.9212.1
Overpass425%0.488.3

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.

16.8%Headshot accuracy
33.4%Accuracy (enemy spotted)
33.0%Spray accuracy
72.2%Counter-strafing
13.2°Preaim
656msReaction time
26.4%T opening success
33.5%CT opening success
0.60Enemies flashed / flash
9.8%Flash assists
7.28HE damage / grenade
13.39Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2219° — above the 12° mark we flag

    Aim Training
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0118%27 Aug
cache13–00.0550%23 Aug
dust23–30.1623%23 Aug
dust24–13-0.0811%23 Aug
inferno10–130.0919%23 Aug
anubis9–13-0.052%13 Aug
nuke13–50.018%11 Aug
inferno6–13-0.0811%11 Aug
dust27–13-0.0523%8 Aug
ancient8–13-0.0113%8 Aug
mirage10–130.0017%8 Aug
dust213–60.1225%8 Aug
dust22–13-0.039%6 Aug
inferno11–13-0.077%4 Aug
ancient10–13-0.0414%4 Aug
dust213–90.0417%30 Jul
ancient13–5-0.0014%30 Jul
dust27–130.0210%29 Jul
dust213–50.1333%28 Jul
nuke1–6-0.0520%23 Jul
ancient0–13-0.080%23 Jul
inferno13–6-0.0319%23 Jul
mirage13–110.0616%21 Jul
mirage13–70.0625%9 Jul
dust213–3-0.0513%9 Jul
anubis7–13-0.0723%9 Jul
cache13–11-0.0716%9 Jul
mirage13–60.019%9 Jul
shelter7–13-0.0523%8 Jul
dust29–130.0428%8 Jul
mirage13–7-0.0516%8 Jul
ancient11–130.0116%8 Jul
nuke13–100.0332%26 Jun
office9–13-0.0644%26 Jun
vertigo13–90.0915%26 Jun
cache13–7-0.0515%26 Jun
dust211–40.0123%26 Jun
dust213–9-0.0119%26 Jun
mirage13–40.0921%26 Jun
ancient13–80.0217%26 Jun
nuke1–13-0.0413%20 Jun
nuke13–20.2027%20 Jun
nuke9–13-0.0919%19 Jun
dust213–60.0111%13 May
ancient9–130.0222%13 May
dust213–30.1619%29 Apr
dust211–130.0919%29 Apr
dust213–110.0111%24 Apr
ancient19–16-0.037%24 Apr
mirage8–13-0.042%24 Apr
ancient13–5-0.0118%24 Apr
ancient6–13-0.0713%18 Apr
anubis11–13-0.038%18 Apr
mirage11–13-0.0119%17 Apr
nuke6–130.0522%31 Mar
ancient7–130.0417%31 Mar
nuke9–9-0.0220%29 Mar
dust213–90.079%29 Mar
mirage8–130.0028%26 Feb
ancient22–180.0213%24 Feb
dust213–7-0.0513%20 Feb
mirage13–6-0.0123%20 Feb
dust211–13-0.0127%20 Feb
nuke11–13-0.0113%19 Feb
nuke9–13-0.0420%17 Feb
nuke15–150.0221%13 Feb
ancient2–7-0.0520%13 Feb
inferno7–13-0.0527%13 Feb
mirage5–13-0.0118%12 Feb
inferno8–13-0.0317%12 Feb
dust27–13-0.0620%10 Feb
mirage13–110.049%10 Feb
mirage3–13-0.0511%10 Feb
ancient2–13-0.1114%10 Feb
anubis3–13-0.0214%5 Feb
dust28–13-0.0220%3 Feb
mirage13–30.0225%31 Jan
anubis13–40.0626%31 Jan
mirage10–13-0.018%31 Jan
dust29–13-0.059%31 Jan
nuke13–70.0618%31 Jan
mirage13–10-0.0614%30 Jan
dust24–13-0.0411%30 Jan
dust213–11-0.0012%30 Jan
mirage9–130.0613%30 Jan
dust26–13-0.0118%30 Jan
ancient13–80.0220%29 Jan
inferno13–11-0.0217%23 Jan
anubis4–13-0.084%23 Jan
dust213–40.0213%21 Jan
nuke17–19-0.0028%21 Jan
anubis13–9-0.0417%21 Jan
mirage13–2-0.0411%14 Dec
nuke13–0-0.017%14 Dec
ancient13–7-0.0431%14 Dec
ancient16–12-0.0013%13 Dec
mirage16–120.0319%13 Dec
mirage13–30.0327%6 Dec
dust211–130.0725%6 Dec
dust29–13-0.0325%5 Dec

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 →