off the v — CS2 Stats

76561198125677626[U:1:165411898]

1,271Tracked matches57%Win rate2024Tracked since
CSDB Rating4.8 Developing
Ladder ranks via Leetify

Performance scores

Aim38
Positioning48
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY44497Last 10044%Win rateLWLWLLWLWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim3.8
Aggression4.6
Utility5.2
Positioning4.8
Opening Duels2.5

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 82% 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

T-side openings. Opening success drops from 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 632ms 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

Aim3.8
Positioning4.8
Utility5.2
Mechanics6.5
Opening Duels2.5
Win Impact7.4

Composite 4.8/10 (Developing), 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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time630ms−51ms
first ⅓ avg 681ms → last ⅓ avg 630ms
Headshot accuracy16.2%+3.1%
first ⅓ avg 13.1% → last ⅓ avg 16.2%

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

0.14Best rating — inferno 13–10
131Biggest win — dust2
6Longest win streak
58In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 50% over 12ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C45192642%-0.02
vertigoB126650%-0.02
nukeC114736%-0.02
infernoB84450%0.01
mirageC83538%-0.01
ancientD62433%-0.04
anubis43175%0.02
overpass42250%-0.01
train21150%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.4%Headshot accuracy
26.8%Accuracy (enemy spotted)
30.0%Spray accuracy
79.3%Counter-strafing
12.0°Preaim
632msReaction time
31.3%T opening success
48.7%CT opening success
0.61Enemies flashed / flash
2.8%Flash assists
8.41HE damage / grenade
12.65Flashes / 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 12.0077° — above the 12° mark we flag

    Aim Training
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0718%25 Aug
anubis13–9-0.0414%25 Aug
dust214–16-0.0315%24 Aug
dust213–11-0.0426%24 Aug
inferno5–13-0.0730%23 Aug
dust214–16-0.0621%22 Aug
mirage16–130.0019%22 Aug
nuke8–13-0.0217%22 Aug
anubis13–70.0412%22 Aug
nuke13–30.0313%22 Aug
dust213–5-0.0318%17 Aug
dust213–3-0.030%17 Aug
dust213–10-0.0613%8 Aug
vertigo13–5-0.084%7 Jul
mirage5–130.0413%7 Jul
vertigo12–12-0.039%29 Jun
dust213–8-0.0118%29 Jun
vertigo13–80.0612%24 Jun
dust213–10-0.0414%12 Jun
ancient4–13-0.0222%12 Jun
train7–13-0.0819%27 Apr
vertigo13–70.1012%23 Apr
dust211–13-0.0313%23 Apr
dust26–13-0.0714%26 Mar
dust213–90.0118%25 Mar
dust213–8-0.0825%24 Mar
dust213–50.0230%23 Mar
ancient15–15-0.0616%19 Mar
dust28–130.0212%19 Mar
dust23–13-0.0321%18 Mar
dust24–13-0.0018%18 Mar
dust21–4-0.0413%18 Mar
dust213–11-0.1213%18 Mar
overpass5–13-0.0420%13 Mar
overpass13–70.0413%12 Mar
vertigo13–90.036%11 Feb
vertigo4–13-0.058%11 Feb
vertigo2–13-0.0416%11 Feb
dust213–7-0.0118%7 Feb
vertigo10–13-0.0715%5 Feb
anubis5–00.089%5 Feb
anubis11–13-0.0015%5 Feb
dust213–80.0412%5 Feb
dust28–13-0.0320%10 Jan
dust212–12-0.0411%10 Jan
dust211–13-0.104%13 Dec
dust210–13-0.0123%13 Dec
dust213–8-0.0211%26 Nov
inferno4–13-0.0217%20 Nov
inferno13–100.0214%20 Nov
mirage13–4-0.0529%20 Nov
dust210–13-0.0210%20 Nov
dust210–13-0.0110%18 Nov
dust212–120.1013%18 Nov
dust211–130.0122%18 Nov
overpass7–13-0.0822%13 Nov
ancient13–7-0.035%12 Nov
dust26–30.0320%12 Nov
dust210–13-0.0519%12 Nov
inferno12–120.007%12 Nov
dust213–50.0512%7 Nov
ancient14–16-0.066%4 Nov
mirage10–130.037%4 Nov
nuke13–90.0821%3 Nov
nuke8–13-0.0111%3 Nov
overpass13–110.0212%3 Nov
mirage4–13-0.074%3 Nov
dust25–13-0.1041%3 Nov
mirage3–13-0.097%3 Nov
dust24–130.0113%2 Nov
ancient13–110.016%1 Nov
inferno13–110.048%1 Nov
inferno13–100.1415%1 Nov
dust29–13-0.0412%1 Nov
nuke13–40.0416%1 Nov
dust215–15-0.0312%31 Oct
dust23–13-0.1031%31 Oct
nuke7–12-0.059%31 Oct
vertigo9–130.0413%31 Oct
nuke13–8-0.006%31 Oct
nuke10–13-0.0910%31 Oct
nuke12–12-0.0312%31 Oct
nuke8–13-0.0623%31 Oct
vertigo13–7-0.0315%30 Oct
vertigo2–13-0.0910%30 Oct
vertigo13–4-0.0214%29 Oct
nuke7–13-0.078%29 Oct
dust27–13-0.0315%29 Oct
mirage13–50.0413%28 Oct
inferno13–7-0.0218%28 Oct
mirage9–130.0213%28 Oct
dust24–13-0.0714%28 Oct
dust213–30.038%28 Oct
dust213–10.0110%28 Oct
dust213–3-0.018%28 Oct
dust25–13-0.019%28 Oct
inferno11–13-0.0313%28 Oct
train13–90.0410%28 Oct
dust213–10-0.039%27 Oct
dust26–13-0.018%27 Oct

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →