nep nep'

nep nep' — CS2 Stats

AQ76561198099332972[U:1:139067244]Steam profile ↗✓ No bans

140Tracked matches76%Win rate2025Tracked since
216Hours in CS2Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim32
Positioning50
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY70–26–4Last 10070%Win rateLWWLLLWWWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +6.0pp headshot accuracy · +49ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 627ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 692ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 668ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim3.2
Utility1.8
Positioning5.0
Opening Duels3.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 75% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 641ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.2
Positioning5.0
Utility1.8
Mechanics2.9
Opening Duels3.0
Win Impact10.0

Composite 4.0/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time680ms−30ms
first ⅓ avg 710ms → last ⅓ avg 680ms
Headshot accuracy15.1%−3.6%
first ⅓ avg 18.7% → last ⅓ avg 15.1%

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.

Personal bests

0.26Best match rating · 9–0 · inferno, 21 Jun →
55%Best headshot accuracy · 9–5 · nuke, 23 Jun →
422msFastest reaction time · 9–0 · inferno, 21 Jun →
12–0Biggest win · train, 2 Jul →

Across the last 100 tracked matches.

Highlights

11Longest win streak

Map breakdown

infernoBest map · 88% over 8dust2Weakest map · 56% over 34
MapGradePlayedRecordWin rateAvg rating
dust2A3419–1556%-0.02
anubisS1813–572%-0.01
nukeS1511–473%-0.03
infernoS87–188%0.06
vertigoS54–180%-0.04
train—42–250%-0.01
ancient—43–175%-0.04
poseidon—44–0100%0.10
mirage—43–175%0.01
overpass—22–0100%-0.03
alpine—11–0100%-0.04
cache—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (56% over 34). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,101Lifetime kills
1.70K/D · Top 5% of tracked players
536Matches
40.5%Match win rate
65.3%Headshot % · Top 5% of tracked players
6.8%Shot accuracy
357MVPs
118Hours (in match)
229Bombs planted
22Bombs defused

Most-used weapons

Lifetime map wins

900dust2
206inferno
206nuke
138assault
126office
102train
96vertigo
78italy

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.

13.9%Headshot accuracy
33.8%Accuracy (enemy spotted)
29.1%Spray accuracy
63.1%Counter-strafing
11.8°Preaim
641msReaction time
43.3%T opening success
40.6%CT opening success
0.32Enemies flashed / flash
1.5%Flash assists
5.26HE damage / grenade
1.95Flashes / 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. 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 13.8787% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3221 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0712%11 Oct →
inferno13–30.036%11 Oct →
dust213–9-0.0214%11 Oct →
dust25–13-0.068%11 Oct →
anubis7–130.0316%12 Jul →
dust210–13-0.0127%12 Jul →
dust213–70.0319%4 Jul →
train12–00.0233%2 Jul →
nuke13–10-0.0220%2 Jul →
ancient13–7-0.0614%2 Jul →
poseidon9–10.1013%28 Jun →
vertigo13–5-0.0412%28 Jun →
nuke13–9-0.0513%27 Jun →
nuke5–00.008%27 Jun →
overpass13–4-0.066%27 Jun →
dust213–40.0212%27 Jun →
dust213–80.0915%26 Jun →
anubis12–120.046%26 Jun →
inferno8–130.0117%26 Jun →
nuke7–13-0.018%26 Jun →
nuke4–3-0.100%26 Jun →
dust213–11-0.0811%23 Jun →
vertigo9–3-0.026%23 Jun →
nuke9–50.1155%23 Jun →
dust213–4-0.0323%23 Jun →
inferno13–7-0.0813%22 Jun →
anubis13–11-0.0514%22 Jun →
anubis13–8-0.0411%21 Jun →
dust213–20.0321%21 Jun →
nuke9–13-0.0310%21 Jun →
ancient13–80.0111%21 Jun →
poseidon9–50.0124%21 Jun →
poseidon9–00.0822%21 Jun →
poseidon9–00.199%21 Jun →
inferno9–00.2615%21 Jun →
inferno9–00.218%21 Jun →
inferno9–00.2114%21 Jun →
vertigo9–3-0.0721%21 Jun →
train9–7-0.0621%20 Jun →
dust213–90.0312%20 Jun →
anubis13–9-0.0422%17 Jun →
nuke3–13-0.074%17 Jun →
dust213–6-0.0025%17 Jun →
anubis13–3-0.0414%17 Jun →
anubis13–50.0424%16 Jun →
nuke13–4-0.0215%16 Jun →
ancient13–9-0.0412%16 Jun →
mirage9–13-0.0814%14 Jun →
nuke13–7-0.0712%14 Jun →
dust210–13-0.118%14 Jun →
ancient10–13-0.0521%13 Jun →
anubis13–70.0010%13 Jun →
dust23–13-0.0611%13 Jun →
anubis13–4-0.0717%10 Jun →
dust213–3-0.078%10 Jun →
alpine13–10-0.049%9 Jun →
dust210–13-0.0728%9 Jun →
dust213–9-0.0313%8 Jun →
dust27–13-0.0221%8 Jun →
dust29–00.0411%8 Jun →
anubis13–9-0.0514%8 Jun →
vertigo7–13-0.0717%7 Jun →
dust210–13-0.0610%6 Jun →
nuke13–10-0.0130%6 Jun →
anubis13–6-0.0226%6 Jun →
dust25–130.0124%6 Jun →
nuke13–10-0.0311%5 Jun →
dust213–30.0522%5 Jun →
dust213–70.0221%4 Jun →
vertigo13–90.0018%4 Jun →
inferno13–2-0.0918%4 Jun →
anubis13–5-0.0320%4 Jun →
dust213–5-0.0514%3 Jun →
anubis12–12-0.0719%3 Jun →
nuke13–9-0.0419%3 Jun →
dust24–13-0.0714%3 Jun →
anubis12–120.0415%2 Jun →
dust213–9-0.0710%2 Jun →
anubis6–13-0.0326%2 Jun →
anubis13–4-0.0424%2 Jun →
mirage13–70.0623%2 Jun →
train1–13-0.0118%2 Jun →
dust23–13-0.0920%2 Jun →
overpass13–7-0.019%31 May →
anubis13–10.1016%31 May →
dust213–60.0239%31 May →
nuke13–7-0.0412%31 May →
inferno13–8-0.1111%31 May →
anubis13–4-0.0114%31 May →
dust212–12-0.0715%31 May →
mirage13–10.0421%31 May →
train9–13-0.0031%31 May →
dust213–70.1025%31 May →
dust213–50.0521%27 May →
dust20–13-0.1221%26 May →
mirage13–50.0220%26 May →
dust26–13-0.0622%26 May →
dust21–13-0.0513%25 May →
cache13–70.0412%24 May →
nuke9–130.0015%24 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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