<( -_- )>AimBot.exe[OFF]

<( -_- )>AimBot.exe[OFF] — CS2 Stats

DE76561198003663600[U:1:43397872]Steam profile ↗✓ No bans

1,762Tracked matches60%Win rate2023Tracked since
2,919Hours in CS73Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating15,713Purple band · top ~25.6% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−146Premier CS Rating · 15,859 → 15,713

Rating over time

Premier CS Rating: 15,713 +2,867 17 Sept – 11 Oct · 14 days played
11,00615,859peak 15,85917 Sept11 Oct
16,606Peak Premier in tracked matches
13Days played since 2026-09-17

Premier CS Rating

  • 146 below peak (15,859)
  • +2,867 over 30 days · improving
  • Next: Pink band at 20,000 — 4,287 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-17
  • Light Blue band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches256——
Win rate52%——
K/D1.02——
Headshot %48%——

Measured 10 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate45.8%44.3%46.9%1.1% short
Shot accuracy3.2%11.9%13.0%9.7% short
Kill/death ratio0.981.031.080.10 short
Match win rate46.7%45.2%46.7%meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG<( -_- )>AimBot.exe[OFF]PREMIER15,713 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64
Positioning50
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY55–40–5Last 10055%Win rateWLLLLWWWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.9pp headshot accuracy · −23ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 556ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 598ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 609ms

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 (+1.8 against its own average).

Aim6.4
Utility4.6
Positioning5.0
Opening Duels3.1
Clutch0.0

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

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Reaction time. 619ms 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

Aim6.4
Positioning5.0
Utility4.6
Mechanics6.7
Opening Duels3.4
Win Impact8.3

Composite 5.8/10 (Solid), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time616ms+1ms
first ⅓ avg 615ms → last ⅓ avg 616ms
Headshot accuracy16.8%−1.3%
first ⅓ avg 18.2% → last ⅓ avg 16.8%

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

0.15Best match rating · 12–12 · shelter, 30 Sept →
41%Best headshot accuracy · 13–4 · mirage, 6 Oct →
477msFastest reaction time · 13–7 · anubis, 6 Oct →
13–1Biggest win · train, 6 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
6–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 73% over 15shelterWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA1710–759%0.01
infernoB158–753%0.01
dust2S1511–473%0.03
cacheS96–367%-0.01
ancientD93–633%-0.00
shelterD72–529%0.02
nukeB63–350%0.01
trainC52–340%0.01
anubis—43–175%0.03
fachwerk—31–233%0.01
vertigo—20–20%0.01
overpass—22–0100%0.11
italy—21–150%0.03
boulder—22–0100%0.02
office—21–150%0.06

Across the last 100 tracked matches.

Lifetime stats

59,986Lifetime kills
0.98K/D
3,629Matches
46.7%Match win rate · Top 50% of Purple band
45.8%Headshot % · Top 50% of Purple band
3.2%Shot accuracy
7,737MVPs
1,408Hours (in match)
3,393Bombs planted
666Bombs defused

Most-used weapons

AK-4725,392
AWP5,522
MAC-101,724
MP91,714
MP7606

Lifetime map wins

6,601dust2
4,815inferno
3,769nuke
2,024office
998train
912vertigo
430italy
55lake

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

Faceit stats

Combat

12Matches
58%Win rate
1.15Avg K/D
79.3ADR
52%Headshot %

Clutches & streaks

20%1v1 clutch win
29%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2560%1.0414.2
Ancient367%1.4720.0
Nuke2100%1.4213.5
Mirage10%1.0025.0
Anubis10%0.303.0

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.

16.0%Headshot accuracy
35.9%Accuracy (enemy spotted)
38.8%Spray accuracy
80.0%Counter-strafing
10.9°Preaim
619msReaction time
41.8%T opening success
45.7%CT opening success
0.50Enemies flashed / flash
6.5%Flash assists
6.39HE damage / grenade
7.88Flashes / match

Recommended for you

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 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
shelter13–50.0020%11 Oct →
anubis9–13-0.0214%11 Oct →
cache9–13-0.0716%11 Oct →
ancient11–110.0729%11 Oct →
mirage11–13-0.1011%11 Oct →
ancient13–40.0113%11 Oct →
inferno13–100.0122%11 Oct →
mirage13–30.1313%10 Oct →
mirage16–13-0.0016%10 Oct →
nuke13–70.049%10 Oct →
mirage13–11-0.0220%10 Oct →
dust213–6-0.0112%10 Oct →
inferno13–100.0622%10 Oct →
inferno13–60.0521%10 Oct →
mirage13–10-0.0311%10 Oct →
dust213–30.0626%10 Oct →
cache6–13-0.0511%10 Oct →
shelter7–13-0.0718%10 Oct →
inferno6–130.044%10 Oct →
ancient4–13-0.059%10 Oct →
inferno8–13-0.0414%10 Oct →
ancient8–130.0214%10 Oct →
ancient13–10-0.039%10 Oct →
cache13–8-0.046%10 Oct →
mirage7–130.0225%9 Oct →
dust213–11-0.0016%9 Oct →
dust216–13-0.0314%9 Oct →
inferno13–40.0627%9 Oct →
inferno1–13-0.0621%9 Oct →
mirage13–7-0.0019%9 Oct →
train13–7-0.0534%9 Oct →
train0–13-0.0220%9 Oct →
train6–130.0720%9 Oct →
anubis13–70.0719%7 Oct →
mirage13–10-0.0413%7 Oct →
dust213–30.1434%6 Oct →
anubis13–70.0712%6 Oct →
nuke13–7-0.0113%6 Oct →
train13–10.0911%6 Oct →
vertigo9–13-0.0012%6 Oct →
overpass13–100.1029%6 Oct →
dust213–4-0.0016%6 Oct →
dust29–13-0.0121%6 Oct →
cache13–5-0.0322%6 Oct →
italy13–90.0117%6 Oct →
cache15–15-0.069%6 Oct →
mirage13–40.0041%6 Oct →
inferno10–13-0.0219%6 Oct →
dust213–50.1421%6 Oct →
cache13–90.1222%6 Oct →
fachwerk8–13-0.0910%6 Oct →
boulder10–60.0618%6 Oct →
mirage5–13-0.0323%6 Oct →
inferno13–7-0.0324%6 Oct →
cache16–130.0512%5 Oct →
cache13–30.0512%5 Oct →
shelter13–60.0115%5 Oct →
overpass13–100.1116%5 Oct →
nuke6–130.0619%5 Oct →
mirage10–130.0616%5 Oct →
office9–130.0212%5 Oct →
dust213–90.0815%5 Oct →
office13–110.1016%5 Oct →
anubis13–8-0.0013%5 Oct →
dust213–100.0615%5 Oct →
nuke10–13-0.0726%5 Oct →
inferno13–90.1025%5 Oct →
fachwerk8–130.0916%5 Oct →
inferno3–13-0.0021%4 Oct →
mirage13–30.0720%3 Oct →
dust28–130.0116%3 Oct →
dust213–100.0719%3 Oct →
ancient8–130.0216%3 Oct →
fachwerk13–90.0418%3 Oct →
inferno13–110.0416%3 Oct →
shelter8–130.1021%3 Oct →
ancient9–13-0.0841%3 Oct →
ancient5–13-0.0015%2 Oct →
mirage16–12-0.0118%30 Sept →
mirage13–100.0521%30 Sept →
dust216–14-0.0418%30 Sept →
shelter12–120.1519%30 Sept →
shelter12–120.0320%29 Sept →
train3–13-0.0424%29 Sept →
inferno13–5-0.0012%29 Sept →
dust29–13-0.015%29 Sept →
boulder10–3-0.0123%29 Sept →
mirage8–130.027%25 Sept →
inferno7–13-0.0212%25 Sept →
shelter12–12-0.0522%25 Sept →
italy11–130.0522%25 Sept →
dust211–13-0.0119%25 Sept →
nuke13–110.0414%25 Sept →
vertigo7–130.0232%25 Sept →
mirage11–130.0013%25 Sept →
ancient13–10-0.0010%24 Sept →
mirage15–15-0.0118%24 Sept →
inferno7–13-0.089%24 Sept →
nuke11–13-0.0219%24 Sept →
cache13–9-0.0227%24 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.