Near Sighted Gynecologist

Near Sighted Gynecologist — CS2 Stats

76561199680576764[U:1:1720311036]Steam profile ↗✓ No bans

567Tracked matches55%Win rate2024Tracked since
CSDB Rating2.2 Learning
Ladder ranks via Leetify

Performance scores

Aim7
Positioning24
Utility41

0–100 skill scores via Leetify.

Recent form

COLD474013Last 10047%Win rateWLTLWWLLLT

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim0.7
Aggression0.0
Utility4.1
Positioning2.4
Opening Duels0.0

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 57% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 632ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim0.7
Positioning2.4
Utility4.1
Mechanics1.4
Opening Duels0.0
Win Impact6.5

Composite 2.2/10 (Learning), 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-0.06−0.00
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time641ms+18ms
first ⅓ avg 623ms → last ⅓ avg 641ms
Headshot accuracy10.7%−0.4%
first ⅓ avg 11.0% → last ⅓ avg 10.7%

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

0.04Best rating — office 13–6
130Biggest win — mirage
7Longest win streak
76In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
cacheB26141254%-0.06
dust2D1541127%-0.07
infernoD123925%-0.07
mirageA106460%-0.07
anubisS75271%-0.06
ancientA74357%-0.06
vertigoB63350%-0.07
nukeC52340%-0.06
office42250%-0.05
overpass32167%-0.07
alpine21150%-0.08
warden110100%-0.09
italy1010%-0.08
train1010%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno 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.

11.2%Headshot accuracy
22.3%Accuracy (enemy spotted)
22.8%Spray accuracy
56.4%Counter-strafing
14.5°Preaim
632msReaction time
7.9%T opening success
21.3%CT opening success
0.57Enemies flashed / flash
3.3%Flash assists
8.38HE damage / grenade
7.94Flashes / 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 14.4916° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.1941% — below the 15% 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–11-0.060%25 Aug
vertigo10–13-0.0613%21 Aug
mirage12–12-0.0715%21 Aug
anubis9–13-0.054%13 Aug
cache13–11-0.068%13 Aug
cache13–9-0.0016%31 Jul
dust24–13-0.120%29 Jul
overpass4–13-0.0917%29 Jul
cache9–13-0.0520%22 Jul
inferno12–12-0.097%21 Jul
cache13–6-0.0317%21 Jul
vertigo12–12-0.0717%15 Jul
cache13–30.0110%15 Jul
cache4–13-0.040%1 Jul
dust26–130.0019%23 Jun
anubis3–13-0.0917%22 Jun
cache13–9-0.066%17 Jun
mirage13–5-0.053%17 Jun
cache6–13-0.074%11 Jun
nuke12–12-0.0711%9 Jun
cache12–12-0.1026%5 Jun
warden13–9-0.0911%2 Jun
cache13–7-0.0121%2 Jun
italy12–12-0.0818%2 Jun
anubis13–8-0.0610%21 May
cache8–13-0.110%20 May
cache13–6-0.059%20 May
cache13–11-0.0817%15 May
cache12–12-0.056%13 May
cache12–12-0.0512%11 May
cache13–8-0.0410%11 May
cache12–12-0.096%8 May
cache6–13-0.105%8 May
cache13–7-0.088%8 May
cache13–10-0.0810%6 May
cache7–13-0.0811%6 May
cache13–7-0.046%5 May
cache13–2-0.0213%1 May
cache7–13-0.128%29 Apr
cache7–13-0.0911%29 Apr
office13–7-0.050%28 Apr
dust28–13-0.080%28 Apr
dust210–13-0.1012%27 Apr
inferno4–13-0.0911%26 Apr
mirage13–8-0.0914%24 Apr
office13–60.0424%22 Apr
vertigo13–11-0.046%22 Apr
inferno13–4-0.088%20 Apr
mirage13–2-0.0112%20 Apr
ancient13–8-0.0712%20 Apr
dust213–5-0.0517%20 Apr
inferno7–13-0.073%15 Apr
nuke6–13-0.088%15 Apr
nuke13–7-0.005%14 Apr
dust212–12-0.0812%14 Apr
vertigo13–5-0.078%13 Apr
mirage1–13-0.1211%13 Apr
dust27–13-0.0714%13 Apr
vertigo4–13-0.110%10 Apr
office11–13-0.110%6 Apr
vertigo13–10-0.069%2 Apr
inferno11–13-0.0912%31 Mar
mirage12–12-0.0812%31 Mar
dust212–12-0.0511%31 Mar
anubis13–7-0.097%27 Mar
inferno5–13-0.1115%27 Mar
mirage13–11-0.1014%25 Mar
anubis13–60.0213%23 Mar
office9–13-0.077%23 Mar
alpine13–5-0.055%20 Mar
dust213–6-0.094%18 Mar
overpass13–10-0.097%17 Mar
nuke13–7-0.0614%17 Mar
ancient13–8-0.076%16 Mar
mirage13–6-0.0614%16 Mar
dust210–13-0.0423%14 Mar
anubis13–3-0.0715%14 Mar
ancient13–8-0.028%14 Mar
ancient14–16-0.0810%14 Mar
dust213–7-0.0117%14 Mar
inferno13–3-0.035%14 Mar
ancient12–16-0.0814%13 Mar
dust214–16-0.0213%13 Mar
inferno4–13-0.009%13 Mar
train12–12-0.0814%13 Mar
overpass13–6-0.0411%13 Mar
inferno11–13-0.0718%13 Mar
mirage6–13-0.0922%12 Mar
dust23–13-0.140%12 Mar
nuke11–13-0.075%12 Mar
ancient13–10-0.0117%12 Mar
dust25–13-0.129%11 Mar
alpine9–13-0.119%10 Mar
dust213–11-0.1131%10 Mar
ancient9–13-0.0913%8 Mar
inferno2–13-0.110%8 Mar
anubis13–9-0.059%8 Mar
mirage13–00.008%8 Mar
inferno13–11-0.0610%7 Mar
inferno8–13-0.073%7 Mar

Match data via Leetify.

Recent teammates

Milestones

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