{Anti$ocial} apoLLo©

{Anti$ocial} apoLLo© — CS2 Stats

DE76561198022135388[U:1:61869660]Steam profile ↗✓ No bans

1,690Tracked matches41%Win rate2022Tracked since
1,496Hours in CS
CSDB Rating4.1 DevelopingClutch Specialist
Premier CS Rating5,454Light Blue band · top ~76.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 5,454 -2,743 2 Jul – 29 Sept · 24 days played
5,0008,752peak 8,7522 Jul29 Sept
8,989Peak Premier in tracked matches
30Days played since 2026-07-02

Premier CS Rating

  • 3,298 below peak (8,752)
  • -583 over 30 days · declining
  • -2,743 over 90 days
  • Next: Blue band at 10,000 — 4,546 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-16

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
Matches69——
Win rate35%——
K/D0.86——
Headshot %39%——

Measured 29 Aug 2026 → 1 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 Level 5 among CSDB-tracked players (n=13,617), 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 5 medianLevel 6 medianvs Level 6
Headshot rate38.3%43.8%44.8%6.5% short
Shot accuracy6.3%12.0%12.4%6.1% short
Kill/death ratio0.851.021.030.18 short
Match win rate40.9%44.7%45.2%4.3% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG{Anti$ocial} apoLLo©FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER5,454 · Light Blue 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

Aim46
Positioning64
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateWWWTLWLLWL

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating · +5.9pp headshot accuracy · +39ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 594ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 646ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 627ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.7 against its own average).

Aim4.6
Utility5.3
Positioning6.4
Opening Duels1.8
Clutch9.4

Limited utility dependenceReliable in 1v1s

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 63% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 53% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.6
Positioning6.4
Utility5.3
Mechanics3.9
Opening Duels3.5
Win Impact2.1

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time665ms−40ms
first ⅓ avg 704ms → last ⅓ avg 665ms
Headshot accuracy14.2%+1.5%
first ⅓ avg 12.7% → last ⅓ avg 14.2%

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

0.13Best match rating · 13–3 · nuke, 28 Sept →
34%Best headshot accuracy · 9–13 · inferno, 28 Sept →
391msFastest reaction time · 7–3 · inferno, 29 Sept →
13–3Biggest win · nuke, 28 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
3–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 64% over 14mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%0.00
ancientC208–1240%-0.02
infernoD185–1328%-0.02
nukeC146–843%-0.02
anubisA149–564%-0.02
mirageD61–517%-0.04
cacheC52–340%-0.02
vertigo—10–10%-0.13
overpass—10–10%-0.16

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,057Lifetime kills
0.85K/D
4,592Matches
40.9%Match win rate
38.3%Headshot %
6.3%Shot accuracy
5,733MVPs
1,496Hours (in match)
4,174Bombs planted
637Bombs defused

Most-used weapons

AK-4712,665
AWP9,822
Tec-91,173
MP91,158
HE Grenade1,044

Lifetime map wins

13,267dust2
4,333inferno
4,186nuke
922vertigo
645office
310train
144italy
91lake

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

Faceit stats

Combat

10Matches
50%Win rate
0.67Avg K/D
64.7ADR
40%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2250%0.9210.0
Mirage250%0.7815.0
Nuke10%0.447.0
Vertigo10%0.578.0
Inferno1100%0.7316.0

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.

14.5%Headshot accuracy
32.3%Accuracy (enemy spotted)
36.6%Spray accuracy
67.5%Counter-strafing
9.6°Preaim
657msReaction time
53.4%T opening success
34.7%CT opening success
0.53Enemies flashed / flash
5.5%Flash assists
13.10HE damage / grenade
3.72Flashes / 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 14.4677% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7207 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.7446% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–90.0512%29 Sept →
inferno7–3-0.0117%29 Sept →
mirage13–110.0519%29 Sept →
nuke15–150.0416%29 Sept →
dust26–130.0614%29 Sept →
anubis13–80.0219%29 Sept →
inferno9–13-0.0134%28 Sept →
anubis11–13-0.0124%28 Sept →
nuke13–30.1313%28 Sept →
mirage10–13-0.0013%24 Sept →
inferno10–13-0.0416%24 Sept →
anubis13–6-0.018%19 Sept →
ancient11–13-0.048%19 Sept →
dust211–13-0.0511%19 Sept →
cache13–160.018%18 Sept →
dust25–13-0.0610%18 Sept →
inferno5–13-0.0425%14 Sept →
ancient13–80.009%13 Sept →
anubis5–13-0.079%13 Sept →
dust213–60.0216%13 Sept →
inferno4–130.0219%13 Sept →
dust23–13-0.0514%13 Sept →
anubis5–13-0.0514%13 Sept →
ancient3–13-0.079%13 Sept →
cache13–4-0.049%12 Sept →
mirage8–13-0.0619%12 Sept →
inferno12–16-0.0417%12 Sept →
nuke13–10-0.039%12 Sept →
inferno13–7-0.019%12 Sept →
dust213–100.0412%9 Sept →
nuke13–10-0.057%9 Sept →
nuke6–13-0.0210%9 Sept →
dust25–130.0419%1 Sept →
ancient4–13-0.1120%1 Sept →
dust216–14-0.0314%1 Sept →
vertigo3–9-0.1315%30 Aug →
overpass7–9-0.169%30 Aug →
inferno6–13-0.056%29 Aug →
anubis13–90.0130%29 Aug →
inferno10–13-0.0511%27 Aug →
dust213–90.0510%27 Aug →
cache5–13-0.0412%26 Aug →
dust29–13-0.049%26 Aug →
dust213–50.0431%26 Aug →
nuke6–130.0123%26 Aug →
anubis13–6-0.0216%26 Aug →
ancient2–13-0.137%24 Aug →
anubis16–13-0.0413%21 Aug →
nuke8–13-0.083%21 Aug →
ancient11–13-0.024%21 Aug →
nuke13–9-0.075%20 Aug →
ancient5–13-0.0919%20 Aug →
anubis7–13-0.0725%20 Aug →
nuke8–13-0.0017%20 Aug →
inferno15–15-0.0513%16 Aug →
dust210–130.0111%15 Aug →
ancient13–100.0715%15 Aug →
ancient6–13-0.0821%15 Aug →
anubis13–5-0.029%15 Aug →
dust213–100.0418%13 Aug →
ancient13–6-0.063%13 Aug →
inferno15–15-0.035%13 Aug →
nuke13–8-0.006%11 Aug →
dust213–9-0.0412%11 Aug →
dust216–130.0210%11 Aug →
mirage10–13-0.049%11 Aug →
ancient13–6-0.0212%10 Aug →
inferno15–15-0.048%10 Aug →
dust28–13-0.0811%10 Aug →
ancient5–13-0.0315%3 Aug →
dust211–13-0.0020%3 Aug →
nuke7–13-0.0013%3 Aug →
mirage6–13-0.115%1 Aug →
dust25–13-0.058%1 Aug →
ancient13–8-0.0016%1 Aug →
cache9–13-0.0812%1 Aug →
mirage3–13-0.0628%31 Jul →
ancient11–130.0224%31 Jul →
inferno13–7-0.068%31 Jul →
inferno13–60.0613%31 Jul →
ancient5–13-0.0516%31 Jul →
nuke10–13-0.067%28 Jul →
inferno9–130.0012%28 Jul →
nuke13–9-0.0710%28 Jul →
ancient9–130.0114%28 Jul →
cache13–100.0412%25 Jul →
ancient13–100.1210%25 Jul →
inferno9–13-0.060%25 Jul →
anubis11–13-0.0718%25 Jul →
dust211–130.0311%5 Jul →
anubis16–13-0.0014%5 Jul →
dust213–90.028%5 Jul →
ancient1–13-0.0817%5 Jul →
inferno8–13-0.0211%3 Jul →
dust27–130.0420%3 Jul →
anubis13–7-0.008%3 Jul →
nuke13–16-0.0212%3 Jul →
anubis13–4-0.007%3 Jul →
inferno13–40.0715%2 Jul →
ancient13–110.0415%2 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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