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NEGACHIN — CS2 Stats

76561199109732203[U:1:1149466475]

361Tracked matches57%Win rate2021Tracked since
245Hours in CS
CSDB Rating3.4 Learning
Premier CS Rating14,897Blue band · top ~28.9% of ranked players (population est.)
CSDB Leaderboard#17502 of 27570 tracked
FaceitLevel 4 · 1,005 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate46.4%42.5%44.2%above
Shot accuracy15.0%10.9%11.2%above
Kill/death ratio0.910.991.040.13 short
Match win rate42.6%44.2%45.3%2.7% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNEGACHINFACEITLevel 4 · 1,005 ELOSTANDINGTop 81.0% of rankedPREMIER14,897 · Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning47
Utility12

0–100 skill scores via Leetify.

Recent form

HOT44–54–2Last 10044%Win rateLWWWWWWLWL

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

Player DNA

Aim4.0
Aggression3.1
Utility1.2
Positioning4.7
Opening Duels0.3
Clutch4.6

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 70% 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. 646ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.0
Positioning4.7
Utility1.2
Mechanics3.4
Opening Duels0.8
Win Impact7.2

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time646ms−12ms
first ⅓ avg 658ms → last ⅓ avg 646ms
Headshot accuracy14.0%+0.4%
first ⅓ avg 13.6% → last ⅓ avg 14.0%

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

0.10Best rating — dust2 13–9
13–1Biggest win — mirage
6Longest win streak
9–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 81% over 16infernoWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC3111–2035%-0.03
dust2C228–1436%-0.01
ancientA1810–856%-0.03
nukeS1613–381%-0.00
infernoD70–70%-0.04
anubis—30–30%-0.03
overpass—22–0100%-0.03
train—10–10%-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,897Lifetime kills
0.91K/D
575Matches
42.6%Match win rate
46.4%Headshot % · Top 50% of Level 4 players
15.0%Shot accuracy · Top 25% of Level 4 players
1,140MVPs
245Hours (in match)
566Bombs planted
79Bombs defused

Most-used weapons

AK-473,341
M4A4 / M4A1-S2,496
AWP837
P2000 / USP-S651
Glock-18564
Desert Eagle297
MP9290
Galil AR269
MP7214
MAC-10202

Lifetime map wins

1,730dust2
345nuke
304inferno
136vertigo
19train
9cbble
8lake
1ar_monastery

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

Faceit stats

Combat

83Matches
48%Win rate
0.95Avg K/D
79.1ADR
44%Headshot %

Clutches & streaks

43%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2361%1.0216.3
Ancient1953%0.9816.2
Dust21953%0.9614.3
Nuke617%0.7611.5
Inferno333%1.0223.7
Anubis250%1.2115.0
Train10%0.6722.0
Overpass10%0.5811.0

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.

13.6%Headshot accuracy
35.5%Accuracy (enemy spotted)
38.3%Spray accuracy
65.1%Counter-strafing
12.6°Preaim
646msReaction time
26.5%T opening success
36.2%CT opening success
0.13Enemies flashed / flash
1.2%Flash assists
10.73HE damage / grenade
1.11Flashes / 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 12.5837° — 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 13.5689% — below the 15% mark we flag

    Aim Training →
  3. 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 0.1348 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0319%30 Jul →
mirage13–110.0013%30 Jul →
ancient13–7-0.0217%30 Jul →
ancient13–10-0.0216%29 Jul →
ancient13–9-0.0310%24 Jul →
mirage13–10.0213%24 Jul →
nuke13–8-0.0213%24 Jul →
dust24–13-0.0614%23 Jul →
ancient13–9-0.017%23 Jul →
dust211–13-0.0317%23 Jul →
nuke13–11-0.007%23 Jul →
mirage16–12-0.045%23 Jul →
nuke13–5-0.0217%23 Jul →
mirage13–9-0.0414%23 Jul →
mirage11–130.0212%22 Jul →
dust27–130.0313%22 Jul →
inferno10–13-0.0015%22 Jul →
dust210–13-0.067%22 Jul →
nuke13–11-0.0116%21 Jul →
ancient13–60.0022%21 Jul →
nuke16–140.0218%20 Jul →
anubis3–13-0.0316%20 Jul →
ancient6–13-0.0411%27 May →
mirage9–13-0.0511%27 May →
anubis9–13-0.0716%14 May →
nuke13–11-0.025%14 May →
ancient13–3-0.036%14 May →
dust213–90.0315%4 May →
dust211–13-0.0224%3 May →
nuke10–13-0.0320%3 May →
dust27–130.0313%4 Mar →
mirage13–80.0315%24 Feb →
mirage11–13-0.0526%23 Feb →
mirage11–13-0.0114%23 Feb →
dust213–90.0417%23 Feb →
nuke13–110.0616%23 Feb →
dust216–140.0224%23 Feb →
mirage11–13-0.0410%23 Feb →
dust213–10-0.013%23 Feb →
mirage5–13-0.0110%23 Feb →
overpass13–11-0.0320%23 Feb →
dust29–13-0.0715%22 Feb →
mirage3–13-0.127%22 Feb →
inferno6–13-0.038%22 Feb →
mirage11–13-0.0311%22 Feb →
mirage13–6-0.0022%22 Feb →
nuke13–5-0.0218%21 Feb →
dust22–13-0.1114%21 Feb →
mirage7–13-0.058%20 Feb →
dust215–15-0.0413%20 Feb →
ancient10–13-0.0713%20 Feb →
inferno3–9-0.1327%20 Feb →
mirage13–6-0.0326%19 Feb →
mirage13–10-0.010%19 Feb →
nuke13–100.016%19 Feb →
dust213–70.007%19 Feb →
nuke13–10-0.0110%19 Feb →
inferno11–13-0.0513%19 Feb →
mirage4–13-0.0611%19 Feb →
inferno11–130.0113%16 Feb →
nuke13–90.0430%15 Feb →
dust213–40.0724%15 Feb →
dust213–90.1019%15 Feb →
anubis9–13-0.0113%15 Feb →
ancient22–25-0.019%13 Feb →
nuke11–13-0.0311%26 Jan →
ancient13–7-0.0415%25 Jan →
mirage3–13-0.0314%13 Nov →
ancient4–13-0.0119%8 Nov →
dust212–16-0.008%8 Nov →
ancient14–16-0.0310%8 Nov →
ancient13–6-0.068%7 Nov →
mirage16–13-0.0210%7 Nov →
mirage8–13-0.0920%6 Nov →
ancient3–13-0.109%5 Nov →
dust213–50.0212%5 Nov →
mirage5–13-0.0412%5 Nov →
nuke9–130.0113%31 Oct →
dust27–13-0.0715%31 Oct →
inferno3–13-0.079%31 Oct →
dust211–130.0018%31 Oct →
nuke13–40.0720%28 Oct →
mirage2–13-0.0218%20 Oct →
mirage9–13-0.0615%15 Oct →
train1–13-0.1111%13 Oct →
nuke13–9-0.0716%13 Oct →
dust210–13-0.0124%13 Oct →
ancient13–16-0.0510%12 Oct →
inferno11–13-0.0323%11 Oct →
mirage8–13-0.062%11 Oct →
ancient16–130.0312%19 Aug →
mirage13–11-0.0314%15 Aug →
mirage5–13-0.0417%15 Aug →
mirage13–4-0.049%13 Aug →
overpass13–7-0.0217%13 Aug →
ancient13–40.024%13 Aug →
dust213–16-0.0124%31 Jul →
mirage15–150.0319%29 Jul →
mirage7–13-0.079%22 Jul →
mirage2–13-0.056%22 Jul →

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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