Imagine

Imagine — CS2 Stats

76561198041313010[U:1:81047282]Steam profile ↗✓ No bans

793Tracked matches56%Win rate2021Tracked since
1,654Hours in CS26Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating23,218Top 25% of 211,827 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#40990 of 258903 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (4 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: 23,218 -970 28 Jul – 26 Oct · 17 days played
22,11524,556peak 24,55628 Jul26 Oct
24,999Peak Premier in tracked matches
30Days played since 2025-07-28

Premier CS Rating

  • 1,338 below peak (24,556)
  • Next: Red band at 25,000 — 1,782 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate49.5%44.8%45.7%above
Shot accuracy14.4%12.4%12.7%above
Kill/death ratio1.231.031.05above
Match win rate46.2%45.2%45.7%meets

Across every metric we can compare, this profile already matches the typical Level 7 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGImagineFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER23,218 · Pink 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

Aim58
Positioning58
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–43–10Last 10047%Win rateLWWTWLWLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +0.6pp headshot accuracy · −41ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 541ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 584ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 605ms

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 (+2.4 against its own average).

Aim5.8
Utility4.8
Positioning5.8
Opening Duels2.1
Clutch1.0

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

NiKo

Plays most like NiKo 81% 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

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

Aim5.8
Positioning5.8
Utility4.8
Mechanics5.1
Opening Duels3.7
Win Impact6.9

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time609ms−30ms
first ⅓ avg 639ms → last ⅓ avg 609ms
Headshot accuracy19.4%−1.0%
first ⅓ avg 20.5% → last ⅓ avg 19.4%

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 · 13–2 · inferno, 15 Oct →
48%Best headshot accuracy · 13–9 · cache, 11 May →
359msFastest reaction time · 4–5 · inferno, 16 Oct →
13–2Biggest win · inferno, 15 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 67% over 15dust2Weakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC229–1341%-0.03
infernoA1610–663%-0.03
ancientS1510–567%-0.02
nukeC146–843%-0.03
dust2D132–1115%-0.03
cacheA127–558%-0.02
anubis—31–233%-0.01
overpass—31–233%-0.00
train—21–150%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,559Lifetime kills
1.23K/D · Top 25% of Level 6 players
2,543Matches
46.2%Match win rate · Top 50% of Level 6 players
49.5%Headshot % · Top 50% of Level 6 players
14.4%Shot accuracy · Top 50% of Level 6 players
6,742MVPs
934Hours (in match)
2,322Bombs planted
460Bombs defused

Most-used weapons

Lifetime map wins

7,459dust2
1,441nuke
1,259inferno
920vertigo
434train
216cbble
199dust
52office

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

Faceit stats

Combat

38Matches
55%Win rate
1.34Avg K/D
76.3ADR
46%Headshot %

Clutches & streaks

25%1v1 clutch win
20%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke3100%1.1014.7
Anubis2100%1.3014.5
Mirage250%1.0013.5
Ancient10%0.7213.0
Train10%0.6511.0
Dust210%0.7423.0

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.

19.6%Headshot accuracy
30.6%Accuracy (enemy spotted)
37.2%Spray accuracy
73.0%Counter-strafing
9.7°Preaim
619msReaction time
47.6%T opening success
42.3%CT opening success
0.48Enemies flashed / flash
5.1%Flash assists
12.48HE damage / grenade
7.03Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4819 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0119%28 Oct →
mirage13–9-0.0120%28 Oct →
ancient16–140.0327%26 Oct →
mirage12–120.0511%25 Oct →
cache13–9-0.0519%25 Oct →
anubis5–90.019%25 Oct →
nuke13–9-0.0031%25 Oct →
ancient8–13-0.0231%25 Oct →
inferno1–9-0.0620%23 Oct →
anubis11–13-0.0221%23 Oct →
mirage13–8-0.1016%22 Oct →
ancient13–70.0118%22 Oct →
cache12–12-0.0318%22 Oct →
dust213–90.0135%22 Oct →
inferno8–13-0.0517%22 Oct →
mirage14–160.0022%21 Oct →
ancient7–13-0.0419%20 Oct →
inferno13–5-0.0419%20 Oct →
dust29–130.0114%20 Oct →
mirage13–6-0.0124%20 Oct →
cache13–8-0.0327%20 Oct →
nuke9–13-0.1015%19 Oct →
ancient13–5-0.0317%17 Oct →
mirage10–13-0.0719%17 Oct →
inferno13–7-0.0210%17 Oct →
cache13–11-0.0111%17 Oct →
inferno13–90.0025%17 Oct →
mirage16–14-0.0417%17 Oct →
dust215–15-0.0820%17 Oct →
mirage7–13-0.079%17 Oct →
anubis13–11-0.0126%16 Oct →
inferno4–5-0.0722%16 Oct →
nuke7–130.0113%16 Oct →
nuke13–9-0.0520%16 Oct →
mirage13–9-0.0723%16 Oct →
inferno13–20.0913%15 Oct →
cache1–13-0.1211%15 Oct →
cache13–20.0332%11 Oct →
inferno13–4-0.0417%10 Oct →
nuke5–13-0.0433%10 Oct →
nuke9–13-0.0331%18 May →
cache6–13-0.0130%18 May →
dust213–80.0111%18 May →
mirage13–7-0.0233%17 May →
dust22–13-0.0220%17 May →
cache13–11-0.0713%17 May →
mirage3–13-0.0629%16 May →
cache12–12-0.0821%16 May →
cache12–120.0429%13 May →
cache13–11-0.0224%13 May →
ancient13–60.0027%13 May →
inferno4–13-0.0612%13 May →
cache13–90.0648%11 May →
nuke12–12-0.0221%29 Aug →
inferno13–9-0.0313%28 Aug →
nuke7–13-0.0616%28 Aug →
nuke5–13-0.0622%20 Aug →
train13–7-0.0626%20 Aug →
mirage13–10-0.0121%20 Aug →
dust210–13-0.1127%18 Aug →
ancient13–9-0.0323%18 Aug →
overpass7–13-0.0413%18 Aug →
dust211–130.0535%18 Aug →
nuke2–13-0.0540%18 Aug →
dust210–13-0.0516%17 Aug →
ancient10–130.0128%17 Aug →
nuke13–5-0.0020%17 Aug →
mirage13–10-0.0135%17 Aug →
mirage12–12-0.0016%5 Aug →
inferno13–8-0.0818%5 Aug →
ancient13–40.0521%5 Aug →
inferno14–16-0.0316%5 Aug →
mirage10–13-0.0210%4 Aug →
overpass13–40.0416%4 Aug →
dust27–13-0.0720%4 Aug →
mirage15–15-0.0025%4 Aug →
nuke13–80.0322%4 Aug →
inferno6–13-0.108%3 Aug →
ancient8–13-0.0133%3 Aug →
ancient13–4-0.0016%2 Aug →
mirage0–11-0.0840%2 Aug →
train4–13-0.0331%2 Aug →
inferno13–6-0.0218%2 Aug →
ancient13–8-0.0510%2 Aug →
inferno13–110.0024%2 Aug →
dust215–150.0217%2 Aug →
overpass13–16-0.0117%2 Aug →
nuke13–110.0120%2 Aug →
mirage5–13-0.0611%2 Aug →
dust25–130.0015%2 Aug →
inferno8–13-0.0229%30 Jul →
mirage8–13-0.1031%30 Jul →
dust25–13-0.0913%30 Jul →
ancient15–15-0.0322%30 Jul →
ancient13–9-0.1017%30 Jul →
mirage13–6-0.0123%30 Jul →
nuke13–5-0.0226%29 Jul →
mirage7–13-0.0816%28 Jul →
dust25–13-0.0414%28 Jul →
ancient13–8-0.0126%28 Jul →

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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