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-unc^ — CS2 Stats

US76561197998174831[U:1:37909103]Steam profile ↗✓ No bans

106Tracked matches52%Win rate2025Tracked since
249Hours in CS
CSDB Rating2.7 Learning
Ladder ranks via Leetify

Performance scores

Aim11
Positioning27
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateLLLLLWWTWW

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

Player DNA

Aim1.1
Aggression2.3
Utility4.8
Positioning2.7
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 65% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 36% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 755ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim1.1
Positioning2.7
Utility4.8
Mechanics3.2
Opening Duels0.7
Win Impact5.6

Composite 2.7/10 (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 time743ms−21ms
first ⅓ avg 764ms → last ⅓ avg 743ms
Headshot accuracy15.0%+1.5%
first ⅓ avg 13.5% → last ⅓ avg 15.0%

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

0.03Best rating — dust2 13–3
13–2Biggest win — mirage
4Longest win streak
L5Current streak
6–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 57% over 28ancientWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
infernoA2816–1257%-0.06
nukeC219–1243%-0.07
dust2C197–1237%-0.05
ancientD165–1131%-0.07
mirageC125–742%-0.06
overpass—21–150%-0.04
warden—10–10%-0.02
anubis—11–0100%-0.05

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

8,873Lifetime kills
0.81K/D
648Matches
46.1%Match win rate
42.6%Headshot %
11.9%Shot accuracy
972MVPs
249Hours (in match)
649Bombs planted
97Bombs defused

Most-used weapons

AK-472,457
M4A4 / M4A1-S1,736
AWP1,230
P250787
Glock-18430
P2000 / USP-S390
Desert Eagle289
P90182
AUG137
HE Grenade136

Lifetime map wins

2,745dust2
959inferno
706nuke
192train
94vertigo
18office
18aztec
16cbble

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

Skill profile

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

13.3%Headshot accuracy
27.9%Accuracy (enemy spotted)
24.7%Spray accuracy
64.4%Counter-strafing
13.6°Preaim
755msReaction time
19.2%T opening success
35.9%CT opening success
0.59Enemies flashed / flash
3.6%Flash assists
13.47HE damage / grenade
5.61Flashes / 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 13.5572° — 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 13.2771% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 755.0033ms — above the 700ms 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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.109%24 Mar →
inferno9–13-0.1011%1 Feb →
inferno7–13-0.1016%1 Feb →
warden3–13-0.0218%1 Feb →
nuke5–13-0.1021%30 Jan →
inferno13–9-0.0318%30 Jan →
inferno13–10-0.0719%29 Jan →
inferno12–12-0.0411%29 Jan →
dust213–8-0.0540%29 Jan →
mirage13–2-0.076%29 Jan →
dust213–6-0.0314%27 Jan →
ancient16–14-0.077%27 Jan →
mirage12–12-0.0320%26 Jan →
inferno9–3-0.0344%25 Jan →
mirage0–6-0.0950%25 Jan →
inferno13–10-0.0521%24 Jan →
ancient13–4-0.038%24 Jan →
nuke13–3-0.109%24 Jan →
ancient4–13-0.135%24 Jan →
inferno6–13-0.0018%24 Jan →
nuke13–9-0.106%19 Jan →
inferno4–9-0.1423%19 Jan →
ancient7–8-0.046%19 Jan →
ancient13–6-0.040%19 Jan →
nuke13–10-0.0411%18 Jan →
dust26–13-0.0811%18 Jan →
mirage13–8-0.0219%18 Jan →
dust210–13-0.0210%18 Jan →
mirage15–15-0.089%17 Jan →
inferno9–13-0.0310%17 Jan →
nuke9–13-0.0510%17 Jan →
ancient13–80.029%15 Jan →
nuke6–13-0.086%15 Jan →
mirage6–13-0.106%15 Jan →
anubis13–8-0.0524%15 Jan →
ancient2–13-0.0814%15 Jan →
mirage7–13-0.0815%14 Jan →
dust29–13-0.104%14 Jan →
dust216–12-0.0816%14 Jan →
nuke8–13-0.108%13 Jan →
inferno13–6-0.0418%13 Jan →
inferno13–11-0.0610%13 Jan →
inferno13–3-0.058%13 Jan →
ancient7–13-0.0818%13 Jan →
dust215–15-0.0433%11 Jan →
mirage13–3-0.019%11 Jan →
mirage13–5-0.0613%11 Jan →
dust211–13-0.0625%11 Jan →
nuke9–13-0.1311%11 Jan →
inferno13–6-0.0510%10 Jan →
nuke5–13-0.155%10 Jan →
ancient10–13-0.0631%10 Jan →
ancient6–13-0.1133%10 Jan →
inferno12–12-0.0912%7 Jan →
dust212–12-0.0424%7 Jan →
nuke11–13-0.0815%7 Jan →
ancient13–9-0.056%7 Jan →
inferno13–8-0.074%6 Jan →
inferno3–13-0.0412%6 Jan →
dust29–13-0.0118%5 Jan →
dust29–1-0.0329%5 Jan →
inferno1–13-0.0840%2 Jan →
inferno13–6-0.0124%2 Jan →
inferno6–1-0.087%2 Jan →
ancient2–13-0.107%2 Jan →
nuke13–3-0.0110%2 Jan →
ancient7–13-0.1111%2 Jan →
nuke13–5-0.126%2 Jan →
nuke6–13-0.0619%31 Dec →
mirage7–13-0.093%31 Dec →
mirage5–13-0.0219%31 Dec →
ancient7–13-0.0312%31 Dec →
inferno16–14-0.0213%29 Dec →
mirage16–12-0.0819%27 Dec →
ancient9–13-0.0614%27 Dec →
nuke13–11-0.0013%26 Dec →
inferno13–4-0.0417%26 Dec →
inferno13–9-0.1019%26 Dec →
nuke9–13-0.0725%26 Dec →
nuke6–13-0.056%26 Dec →
nuke6–13-0.1317%13 Dec →
inferno14–16-0.0718%13 Dec →
dust24–13-0.146%13 Dec →
dust213–7-0.0911%13 Dec →
nuke11–13-0.0110%11 Dec →
inferno13–7-0.0414%11 Dec →
inferno11–13-0.089%6 Dec →
dust210–13-0.0813%6 Dec →
dust213–30.0316%6 Dec →
dust24–13-0.0816%6 Dec →
nuke13–10-0.0411%6 Dec →
overpass10–13-0.0120%2 Dec →
overpass13–9-0.073%1 Dec →
nuke13–11-0.0418%1 Dec →
nuke13–4-0.059%1 Dec →
inferno2–13-0.0825%29 Nov →
inferno13–4-0.1010%29 Nov →
dust25–13-0.094%28 Nov →
dust27–13-0.0517%28 Nov →
dust213–110.0212%28 Nov →

Match data via Leetify.

Recent teammates

Milestones

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

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