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TheBlackPage — CS2 Stats

76561198064241230[U:1:103975502]✓ No bans

164Tracked matches52%Win rate2025Tracked since
CSDB Rating3.6 Learning
Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim34
Positioning28
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY41–47–12Last 10041%Win rateLWTWLWWLTL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim3.4
Aggression0.0
Utility4.3
Positioning2.8
Opening Duels0.0

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 64% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 693ms 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

Aim3.4
Positioning2.8
Utility4.3
Mechanics5.7
Opening Duels0.0
Win Impact5.6

Composite 3.6/10 (Learning), 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-0.04+0.04
first ⅓ avg -0.08 → last ⅓ avg -0.04
Reaction time691ms−101ms
first ⅓ avg 792ms → last ⅓ avg 691ms
Headshot accuracy7.7%−1.2%
first ⅓ avg 8.9% → last ⅓ avg 7.7%

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

0.09Best rating — ancient 13–7
13–0Biggest win — train
3Longest win streak
2–6In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 67% over 6cacheWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC2410–1442%-0.07
dust2C229–1341%-0.06
cacheD144–1029%-0.07
mirageA116–555%-0.06
nukeD93–633%-0.05
trainC73–443%-0.03
ancientS64–267%-0.03
vertigo—20–20%-0.06
overpass—10–10%-0.07
italy—10–10%-0.07
fachwerk—11–0100%-0.09
shelter—11–0100%-0.10
anubis—10–10%-0.06

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

7.3%Headshot accuracy
37.1%Accuracy (enemy spotted)
29.4%Spray accuracy
75.8%Counter-strafing
11.6°Preaim
693msReaction time
22.8%T opening success
21.8%CT opening success
0.51Enemies flashed / flash
12.5%Flash assists
8.59HE damage / grenade
4.77Flashes / 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 7.3158% — below the 15% mark we flag

    Aim Training →
  2. 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 22.7793% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.124%29 Aug →
inferno13–9-0.093%29 Aug →
cache12–12-0.104%29 Aug →
dust213–6-0.029%29 Aug →
cache11–13-0.042%29 Aug →
ancient13–70.0911%28 Aug →
ancient13–9-0.054%27 Aug →
inferno8–13-0.135%24 Aug →
nuke12–12-0.0411%24 Aug →
cache11–13-0.075%22 Aug →
dust213–10-0.0616%22 Aug →
mirage13–10-0.107%22 Aug →
inferno13–11-0.098%22 Aug →
inferno5–13-0.073%22 Aug →
overpass3–13-0.074%22 Aug →
inferno11–13-0.0212%21 Aug →
inferno4–130.017%20 Aug →
dust23–130.049%20 Aug →
train12–1-0.0319%20 Aug →
dust213–80.0411%19 Aug →
dust21–13-0.116%18 Aug →
inferno6–13-0.0711%17 Aug →
mirage13–10-0.023%16 Aug →
train13–00.097%16 Aug →
nuke13–40.078%16 Aug →
train2–13-0.063%16 Aug →
inferno13–9-0.075%16 Aug →
inferno12–12-0.056%15 Aug →
train10–13-0.039%15 Aug →
inferno13–8-0.0711%15 Aug →
cache13–3-0.0214%15 Aug →
ancient13–5-0.089%15 Aug →
dust29–13-0.0411%15 Aug →
dust27–13-0.118%13 Aug →
train13–9-0.047%12 Aug →
train5–130.0015%12 Aug →
cache12–12-0.046%11 Aug →
ancient13–20.027%11 Aug →
nuke9–3-0.0423%11 Aug →
ancient9–13-0.0411%11 Aug →
cache10–13-0.1119%9 Aug →
inferno13–5-0.088%9 Aug →
cache7–13-0.0412%9 Aug →
nuke11–13-0.1425%8 Aug →
dust213–10-0.058%7 Aug →
nuke5–13-0.097%7 Aug →
inferno13–6-0.0519%7 Aug →
dust213–8-0.059%7 Aug →
inferno13–9-0.0114%6 Aug →
dust26–13-0.0220%6 Aug →
mirage13–30.017%5 Aug →
dust25–13-0.056%5 Aug →
ancient10–13-0.099%4 Aug →
nuke13–80.0815%4 Aug →
inferno4–13-0.056%2 Aug →
vertigo12–12-0.086%1 Aug →
mirage10–13-0.1014%1 Aug →
dust213–6-0.074%1 Aug →
mirage7–13-0.0714%25 Jul →
dust21–13-0.0810%25 Jul →
inferno12–12-0.068%25 Jul →
nuke2–13-0.1110%18 Jul →
cache9–13-0.083%18 Jul →
dust210–13-0.099%12 Jul →
italy4–13-0.079%12 Jul →
fachwerk13–8-0.0915%12 Jul →
shelter13–8-0.104%11 Jul →
cache5–13-0.0710%5 Jul →
dust25–13-0.106%5 Jul →
dust22–9-0.106%5 Jul →
inferno3–13-0.110%27 Jun →
cache13–5-0.0912%27 Jun →
dust28–13-0.0911%27 Jun →
inferno11–3-0.080%27 Jun →
cache11–13-0.109%14 Jun →
dust213–5-0.107%14 Jun →
nuke3–13-0.0718%14 Jun →
train5–13-0.1415%13 Jun →
dust213–5-0.109%13 Jun →
mirage13–9-0.0713%13 Jun →
inferno5–13-0.137%7 Jun →
mirage6–13-0.080%7 Jun →
dust212–12-0.098%7 Jun →
inferno13–10-0.0724%7 Jun →
cache13–6-0.105%7 Jun →
dust25–13-0.0517%31 May →
cache12–12-0.057%31 May →
mirage11–13-0.0914%31 May →
inferno12–12-0.0810%31 May →
mirage13–5-0.093%31 May →
inferno12–12-0.079%30 May →
mirage13–7-0.038%30 May →
nuke12–12-0.103%30 May →
cache13–8-0.040%24 May →
dust29–9-0.085%24 May →
inferno13–6-0.0710%24 May →
anubis6–13-0.0611%17 May →
mirage4–13-0.079%17 May →
inferno12–12-0.076%10 May →
vertigo9–13-0.0521%10 May →

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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