RealDarkKnight

RealDarkKnight — CS2 Stats

DE76561198100715855[U:1:140450127]Steam profile ↗✓ No bans

602Tracked matches69%Win rate2020Tracked since
1,616Hours in CS
CSDB Rating5.6 SolidPositional Player
CSDB Leaderboard#84160 of 233801 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 28 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,516 +3,578 28 Mar5 Jul · 7 days played
14,60419,516peak 19,51628 Mar5 Jul
19,516Peak Premier in tracked matches
35Days played since 2026-03-28

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=12,717), 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 7 medianLevel 8 medianvs Level 8
Headshot rate42.3%45.7%46.8%4.5% short
Shot accuracy16.7%12.7%13.0%above
Kill/death ratio1.001.051.060.06 short
Match win rate41.1%45.7%46.3%5.2% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGRealDarkKnightFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning54
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY533215Last 10053%Win rateLLWWWLTLWW

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −0.5pp headshot accuracy · +112ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 698ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 687ms

Last 20

  • 1343 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 631ms

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 PlayerPositioning stands above the rest of this profile (+2.4 against its own average).

Aim6.2
Utility3.8
Positioning5.4
Opening Duels2.8
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

iM

Plays most like iM 92% 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

T-side openings. Opening success drops from 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.2
Positioning5.4
Utility3.8
Mechanics5.8
Opening Duels2.3
Win Impact10.0

Composite 5.6/10 (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-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time607ms−47ms
first ⅓ avg 655ms → last ⅓ avg 607ms
Headshot accuracy22.3%−1.4%
first ⅓ avg 23.7% → last ⅓ avg 22.3%

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 · 4–11 · cache, 19 May
44%Best headshot accuracy · 4–11 · cache, 19 May
422msFastest reaction time · 10–13 · cache, 18 May
13–2Biggest win · cache, 10 May

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
63In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
cacheB56302654%0.01
anubisS86275%-0.01
mirageA74357%0.00
infernoC73443%-0.02
overpassA53260%0.01
nuke41325%-0.03
vertigo42250%0.01
dust232167%-0.02
ancient31233%0.01
office21150%0.05
train1010%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,592Lifetime kills
1.00K/D
4,302Matches
41.1%Match win rate
42.3%Headshot %
16.7%Shot accuracy · Top 25% of Level 7 players
9,184MVPs
1,616Hours (in match)
3,708Bombs planted
751Bombs defused

Most-used weapons

AK-4728,273
AWP13,791
UMP-452,614
P2502,088
MP91,764
P901,564

Lifetime map wins

4,701dust2
3,574vertigo
2,791nuke
2,221inferno
734train
556cbble
234office
146assault

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

Faceit stats

Combat

135Matches
45%Win rate
0.99Avg K/D
80.2ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

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.

21.8%Headshot accuracy
30.9%Accuracy (enemy spotted)
35.3%Spray accuracy
76.1%Counter-strafing
9.9°Preaim
619msReaction time
25.3%T opening success
48.2%CT opening success
0.50Enemies flashed / flash
3.2%Flash assists
4.64HE damage / grenade
6.17Flashes / 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 25.3345% — below the 40% mark we flag

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.079%25 Jul
mirage11–130.0219%24 Jul
anubis13–110.0315%24 Jul
dust213–6-0.0323%23 Jul
nuke13–50.0234%23 Jul
nuke5–13-0.0727%10 Jul
vertigo12–12-0.0612%8 Jul
cache8–13-0.0410%8 Jul
inferno13–60.0125%5 Jul
mirage13–100.0627%5 Jul
anubis13–7-0.0226%5 Jul
cache12–120.0020%3 Jul
inferno13–4-0.0916%16 Jun
overpass6–1-0.0433%16 Jun
anubis13–9-0.0419%16 Jun
cache13–6-0.0415%30 May
cache13–60.0223%30 May
cache13–11-0.0114%23 May
cache12–120.0623%23 May
cache13–110.0117%23 May
cache13–9-0.0512%21 May
mirage13–9-0.0921%21 May
ancient13–10-0.0318%21 May
cache4–110.1544%19 May
cache12–12-0.0426%19 May
cache13–70.0138%19 May
cache5–13-0.0237%19 May
cache10–13-0.0424%18 May
cache13–90.0726%18 May
cache10–13-0.0132%18 May
cache6–13-0.0211%18 May
cache13–30.0524%18 May
cache12–120.0315%18 May
vertigo13–50.0314%17 May
cache13–7-0.0026%16 May
cache13–7-0.0119%16 May
cache13–30.1018%16 May
cache13–9-0.0123%16 May
cache10–130.0217%16 May
cache12–12-0.0326%16 May
cache13–50.0123%16 May
cache13–80.0620%16 May
cache12–12-0.0429%15 May
cache13–100.0129%15 May
cache9–13-0.0117%15 May
cache13–70.0021%13 May
cache13–10-0.0221%13 May
cache12–120.0623%13 May
cache13–70.0418%13 May
cache13–9-0.0820%12 May
cache12–12-0.0419%12 May
cache13–40.0923%12 May
cache12–120.0041%11 May
anubis13–8-0.0118%11 May
cache13–4-0.0113%10 May
cache13–20.0318%10 May
cache10–130.0310%7 May
cache11–13-0.0118%7 May
cache2–13-0.0221%7 May
cache13–50.0116%7 May
cache12–120.0433%6 May
cache13–40.1421%6 May
cache13–110.0423%6 May
office13–70.0625%6 May
cache8–13-0.0218%3 May
cache13–90.0414%3 May
cache13–90.0623%3 May
cache4–13-0.0117%3 May
cache13–50.1037%3 May
cache13–80.0628%1 May
cache6–13-0.0425%1 May
cache7–13-0.0420%1 May
cache13–60.0115%1 May
cache8–13-0.0018%1 May
vertigo10–130.0314%28 Apr
mirage6–13-0.0118%28 Apr
anubis13–10-0.0321%27 Apr
inferno12–12-0.0528%27 Apr
nuke7–13-0.0225%25 Apr
overpass12–120.0617%25 Apr
train10–130.0130%25 Apr
vertigo13–60.0522%22 Apr
overpass13–50.0437%22 Apr
inferno15–15-0.0231%21 Apr
anubis7–13-0.0420%21 Apr
inferno9–13-0.0237%18 Apr
overpass13–60.0219%15 Apr
office12–120.0314%5 Apr
ancient9–13-0.0024%5 Apr
ancient10–130.0623%4 Apr
dust21–13-0.0423%4 Apr
anubis6–13-0.0319%3 Apr
mirage13–10-0.0027%3 Apr
dust213–110.0332%3 Apr
inferno10–13-0.0121%3 Apr
overpass10–13-0.0117%28 Mar
inferno13–20.0333%28 Mar
mirage13–11-0.0211%28 Mar
anubis13–60.0129%28 Mar
mirage11–130.0729%28 Mar

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 →