I have seen unspeakable horrors

I have seen unspeakable horrors — CS2 Stats

GB76561198033058675[U:1:72792947]Steam profile ↗✓ No bans

826Tracked matches46%Win rate2025Tracked since
893Hours in CS15Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 6,662 -740 14 Jun – 27 Jun · 3 days played
6,6627,402peak 7,40214 Jun27 Jun
7,609Peak Premier in tracked matches
34Days played since 2026-06-14

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

Performance scores

Aim61
Positioning42
Utility46

0–100 skill scores via Leetify.

Recent form

COLD42–50–8Last 10042%Win rateLTTWTWLLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.8pp headshot accuracy · +40ms 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

  • 1–1–3 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 753ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 725ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 705ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim6.1
Utility4.6
Positioning4.2
Opening Duels1.2

Excellent counter-strafingStrong CT-side opener

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 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 49% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 699ms 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

Aim6.1
Positioning4.2
Utility4.6
Mechanics8.5
Opening Duels2.3
Win Impact3.7

Composite 5.2/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time693ms−3ms
first ⅓ avg 696ms → last ⅓ avg 693ms
Headshot accuracy15.5%+3.1%
first ⅓ avg 12.4% → last ⅓ avg 15.5%

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

0.09Best match rating · 9–5 · vertigo, 14 Jul →
30%Best headshot accuracy · 13–5 · dust2, 18 Sept →
438msFastest reaction time · 3–10 · dust2, 14 Jun →
13–0Biggest win · alpine, 5 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 70% over 10mirageWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C145–936%0.01
mirageD123–925%-0.00
anubisD103–730%-0.02
infernoS107–370%-0.01
vertigoD93–633%0.00
cacheS96–367%-0.00
ancientB84–450%-0.01
nukeC73–443%-0.02
office—32–167%0.00
train—21–150%0.02
overpass—21–150%-0.05
boulder—20–20%-0.05
shelter—21–150%-0.04
eldorado—20–20%-0.12
debris—21–150%-0.08
poseidon—20–20%-0.02
italy—21–150%0.00
fachwerk—10–10%-0.01
alpine—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,117Lifetime kills
0.91K/D
1,420Matches
40.5%Match win rate
37.0%Headshot %
6.6%Shot accuracy
2,518MVPs
575Hours (in match)
2,173Bombs planted
256Bombs defused

Most-used weapons

Lifetime map wins

2,464dust2
1,436inferno
1,126nuke
672train
583vertigo
239office
99italy
44cbble

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.

15.7%Headshot accuracy
36.6%Accuracy (enemy spotted)
36.1%Spray accuracy
88.4%Counter-strafing
11.0°Preaim
699msReaction time
18.3%T opening success
48.8%CT opening success
0.55Enemies flashed / flash
10.1%Flash assists
8.75HE damage / grenade
5.99Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 18.3144% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0315%3 Oct →
train12–120.0412%2 Oct →
dust212–12-0.0123%2 Oct →
dust213–30.0315%30 Sept →
vertigo12–120.009%30 Sept →
office13–90.0219%27 Sept →
dust24–130.0220%27 Sept →
anubis4–13-0.0322%27 Sept →
cache13–70.021%27 Sept →
office9–130.0120%27 Sept →
ancient13–2-0.019%26 Sept →
cache5–13-0.0313%26 Sept →
dust213–90.0417%26 Sept →
vertigo11–13-0.089%26 Sept →
mirage4–130.0327%26 Sept →
nuke13–110.0624%26 Sept →
inferno3–130.019%26 Sept →
nuke8–13-0.0916%25 Sept →
nuke13–70.0222%24 Sept →
anubis11–130.0219%24 Sept →
anubis13–10-0.0113%18 Sept →
mirage11–13-0.119%18 Sept →
dust213–50.0830%18 Sept →
cache6–130.0112%18 Sept →
mirage13–80.0415%11 Sept →
dust212–12-0.0514%11 Sept →
vertigo13–110.0718%5 Sept →
nuke6–13-0.0818%4 Sept →
dust24–13-0.0415%4 Sept →
ancient13–90.0011%4 Sept →
anubis7–13-0.0212%31 Aug →
mirage9–130.008%31 Aug →
mirage10–130.0520%30 Aug →
vertigo13–30.0218%30 Aug →
dust213–50.0523%23 Aug →
overpass8–13-0.109%23 Aug →
ancient0–13-0.0212%14 Aug →
dust213–2-0.0230%14 Aug →
cache0–80.0219%9 Aug →
vertigo9–130.0112%9 Aug →
mirage2–13-0.099%7 Aug →
anubis13–9-0.0315%7 Aug →
nuke7–13-0.038%7 Aug →
ancient13–80.0015%7 Aug →
dust25–13-0.0515%7 Aug →
anubis13–160.017%31 Jul →
inferno13–60.0618%31 Jul →
anubis12–12-0.0313%31 Jul →
mirage6–130.063%31 Jul →
boulder5–13-0.056%25 Jul →
shelter3–13-0.0516%25 Jul →
vertigo5–13-0.0615%25 Jul →
mirage5–130.0512%24 Jul →
dust215–15-0.0210%24 Jul →
ancient10–13-0.0211%24 Jul →
cache13–11-0.0415%24 Jul →
nuke13–50.0323%24 Jul →
eldorado2–9-0.2111%17 Jul →
debris7–9-0.1111%17 Jul →
poseidon8–8-0.0117%17 Jul →
inferno6–9-0.0016%17 Jul →
anubis8–13-0.0512%14 Jul →
inferno9–6-0.0317%14 Jul →
vertigo9–50.0920%14 Jul →
poseidon4–9-0.0214%14 Jul →
debris9–7-0.0610%14 Jul →
eldorado7–9-0.0311%14 Jul →
dust28–130.0514%10 Jul →
fachwerk9–13-0.019%10 Jul →
boulder8–13-0.0428%10 Jul →
shelter13–6-0.039%10 Jul →
alpine13–00.078%5 Jul →
vertigo7–13-0.0111%5 Jul →
ancient13–40.0615%5 Jul →
mirage13–4-0.004%5 Jul →
italy13–80.029%4 Jul →
cache13–40.0530%4 Jul →
vertigo7–13-0.0327%3 Jul →
cache13–6-0.037%28 Jun →
train13–6-0.0017%28 Jun →
anubis11–13-0.0711%27 Jun →
italy8–13-0.0213%27 Jun →
nuke9–13-0.068%27 Jun →
office13–9-0.024%27 Jun →
inferno13–10-0.052%26 Jun →
cache8–50.018%26 Jun →
anubis13–11-0.0111%26 Jun →
dust211–130.0319%26 Jun →
mirage9–13-0.0116%26 Jun →
inferno13–7-0.0217%21 Jun →
inferno13–100.0014%20 Jun →
overpass13–8-0.0113%19 Jun →
inferno12–120.029%19 Jun →
ancient11–13-0.0613%16 Jun →
inferno13–2-0.0313%16 Jun →
inferno13–9-0.0212%14 Jun →
ancient6–13-0.058%14 Jun →
mirage13–3-0.015%14 Jun →
dust23–10-0.017%14 Jun →
cache11–8-0.0319%14 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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