Nikita Bitcoin

Nikita Bitcoin — CS2 Stats

LV76561198389056531[U:1:428790803]Steam profile ↗✓ No bans

726Tracked matches41%Win rate2021Tracked since
1,282Hours in CS
CSDB Rating3.5 LearningPositional Player
Premier CS Rating5,290Light Blue band · top ~77.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (3 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: 5,290 +2,605 26 Aug – 29 Sept · 16 days played
2,5665,681peak 5,68126 Aug29 Sept
5,681Peak Premier in tracked matches
38Days played since 2026-08-14

Premier CS Rating

  • 391 below peak (5,681)
  • +2,376 over 30 days · improving
  • Next: Blue band at 10,000 — 4,710 to go
  • Reached: Light Blue band

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
Matches65——
Win rate38%——
K/D0.65——
Headshot %64%——

Measured 31 Aug 2026 → 2 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=13,642), 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 rate55.5%43.8%44.8%above
Shot accuracy12.7%12.0%12.4%above
Kill/death ratio0.751.021.030.28 short
Match win rate39.0%44.7%45.2%6.2% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGNikita BitcoinFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER5,290 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning36
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateWLWLLWWLWL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · +2.1pp headshot accuracy · −37ms reaction

Win rate up 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 26%
  • Avg reaction 674ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 674ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 24%
  • Avg reaction 693ms

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 (+2.1 against its own average).

Aim4.6
Utility1.3
Positioning3.6
Opening Duels1.0
Clutch0.0

Limited utility dependence

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 687ms 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

Aim4.6
Positioning3.6
Utility1.3
Mechanics7.6
Opening Duels2.4
Win Impact2.1

Composite 3.5/10 (Learning), 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-0.04−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time696ms−39ms
first ⅓ avg 734ms → last ⅓ avg 696ms
Headshot accuracy24.2%+2.9%
first ⅓ avg 21.3% → last ⅓ avg 24.2%

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

0.15Best match rating · 13–6 · dust2, 4 Sept →
56%Best headshot accuracy · 3–13 · nuke, 8 Sept →
516msFastest reaction time · 6–13 · dust2, 25 Sept →
13–1Biggest win · nuke, 6 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 80% over 5nukeWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB3418–1653%-0.02
dust2A2514–1156%-0.00
nukeC156–940%-0.05
cacheC52–340%-0.04
infernoS54–180%-0.05
vertigo—41–325%-0.04
anubis—32–167%-0.03
ancient—31–233%0.00
train—31–233%-0.05
shelter—10–10%-0.05
overpass—10–10%-0.04
office—10–10%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,279Lifetime kills
0.75K/D
3,894Matches
39.0%Match win rate
55.5%Headshot % · Top 10% of Level 5 players
12.7%Shot accuracy · Top 50% of Level 5 players
7,657MVPs
1,282Hours (in match)
1,620Bombs planted
518Bombs defused

Most-used weapons

Lifetime map wins

9,890dust2
2,327cbble
1,467inferno
1,437nuke
1,129vertigo
238office
151train
32lake

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

Faceit stats

Combat

30Matches
33%Win rate
0.75Avg K/D
56.9ADR
52%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.376.3
Ancient250%0.6510.0
Anubis250%0.8210.0
Dust22100%1.1117.0

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.

24.1%Headshot accuracy
23.9%Accuracy (enemy spotted)
20.4%Spray accuracy
84.0%Counter-strafing
8.5°Preaim
687msReaction time
44.0%T opening success
34.8%CT opening success
0.62Enemies flashed / flash
0.0%Flash assists
3.66HE damage / grenade
1.44Flashes / 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. Grenades & Utility

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

    Flashes per match 1.4377 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 34.8141% — below the 40% mark we flag

Spend your practice time on Nuke

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–8-0.0321%1 Oct →
mirage8–13-0.0528%1 Oct →
dust213–6-0.0740%30 Sept →
mirage5–13-0.0410%30 Sept →
mirage10–13-0.0031%29 Sept →
dust213–80.0722%29 Sept →
mirage13–11-0.0523%29 Sept →
mirage8–130.0422%29 Sept →
anubis13–100.0021%29 Sept →
mirage10–13-0.0532%28 Sept →
dust25–13-0.0114%28 Sept →
nuke11–13-0.0722%25 Sept →
dust26–13-0.0519%25 Sept →
vertigo6–13-0.0817%23 Sept →
cache13–9-0.0321%22 Sept →
nuke4–13-0.1042%22 Sept →
dust25–13-0.0319%20 Sept →
mirage9–13-0.0919%20 Sept →
cache11–13-0.0621%16 Sept →
nuke8–13-0.1037%13 Sept →
mirage13–2-0.0222%13 Sept →
nuke9–13-0.0917%11 Sept →
nuke13–3-0.0528%10 Sept →
nuke12–12-0.0823%9 Sept →
nuke3–13-0.0856%8 Sept →
dust213–8-0.0821%8 Sept →
mirage3–13-0.119%8 Sept →
mirage13–11-0.0425%7 Sept →
mirage13–7-0.0321%7 Sept →
dust213–7-0.0429%7 Sept →
dust216–140.0130%7 Sept →
mirage13–110.0121%7 Sept →
nuke12–12-0.0317%6 Sept →
mirage13–60.0435%6 Sept →
mirage0–13-0.0929%6 Sept →
inferno13–3-0.0416%6 Sept →
mirage16–120.0122%6 Sept →
nuke13–10.0116%6 Sept →
ancient8–13-0.0325%5 Sept →
mirage12–12-0.1018%5 Sept →
dust213–60.1527%4 Sept →
inferno13–5-0.0219%3 Sept →
vertigo7–13-0.0326%3 Sept →
mirage13–20.0122%3 Sept →
ancient13–90.0925%3 Sept →
dust27–13-0.0016%2 Sept →
train4–13-0.0735%2 Sept →
dust213–90.0612%1 Sept →
mirage2–00.1417%1 Sept →
inferno8–11-0.1110%31 Aug →
shelter10–13-0.0514%30 Aug →
train13–3-0.0429%30 Aug →
mirage6–13-0.0139%29 Aug →
nuke16–130.0114%29 Aug →
inferno14–16-0.0416%29 Aug →
overpass3–13-0.0426%28 Aug →
cache8–13-0.0418%28 Aug →
mirage9–13-0.0528%28 Aug →
nuke13–9-0.1033%28 Aug →
dust210–13-0.0328%27 Aug →
dust213–7-0.0224%27 Aug →
inferno13–10-0.0533%27 Aug →
cache13–9-0.0615%27 Aug →
mirage13–9-0.0829%26 Aug →
nuke13–70.0233%26 Aug →
mirage13–4-0.0216%26 Aug →
office12–12-0.0744%26 Aug →
mirage8–13-0.0416%26 Aug →
dust213–30.0315%26 Aug →
dust21–90.0227%26 Aug →
dust213–80.0825%26 Aug →
nuke3–13-0.0716%26 Aug →
cache14–16-0.0220%25 Aug →
mirage13–100.0019%25 Aug →
anubis13–6-0.0316%25 Aug →
dust213–20.0222%24 Aug →
vertigo13–80.0220%24 Aug →
dust24–13-0.0513%23 Aug →
mirage11–13-0.0718%23 Aug →
mirage12–12-0.0324%23 Aug →
dust213–4-0.0132%23 Aug →
mirage5–13-0.139%23 Aug →
vertigo8–13-0.0736%21 Aug →
mirage13–100.0324%20 Aug →
mirage13–110.0124%19 Aug →
anubis2–13-0.0723%19 Aug →
train12–12-0.0412%19 Aug →
ancient5–13-0.0615%19 Aug →
mirage10–13-0.0518%18 Aug →
nuke12–12-0.0226%17 Aug →
mirage11–20.0327%17 Aug →
dust26–13-0.0015%17 Aug →
dust28–13-0.0933%16 Aug →
dust26–13-0.0413%16 Aug →
dust213–40.0321%16 Aug →
mirage13–8-0.0423%15 Aug →
dust213–40.0532%15 Aug →
mirage13–40.0233%15 Aug →
dust26–13-0.0419%15 Aug →
mirage13–40.0717%14 Aug →

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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