aimaaja.

aimaaja. — CS2 Stats

FI76561199003529516[U:1:1043263788]Steam profile ↗✓ No bans

614Tracked matches60%Win rate2020Tracked since
1,655Hours in CS29Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (51 days ago). Ranks are recorded once per day this page is viewed.

+174Tracked matches · now 614
−19.3ppWin rate · 79.3% → 60.0%

Rating over time

66Days played since 2024-07-16

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate48.8%50.9%
Shot accuracy13.8%13.7%
Kill/death ratio0.961.09
Match win rate48.8%48.4%

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CSDB.GGaimaaja.FACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim91
Positioning55
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY59–35–6Last 10059%Win rateWLWLWWWLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.3pp headshot accuracy · +8ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 494ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 509ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 505ms

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 (+1.8 against its own average).

Aim9.1
Utility4.1
Positioning5.5
Opening Duels1.5
Clutch3.8

Sharp aimer

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

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

Aim9.1
Positioning5.5
Utility4.1
Mechanics7.1
Opening Duels3.5
Win Impact8.3

Composite 6.7/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time501ms−177ms
first ⅓ avg 677ms → last ⅓ avg 501ms
Headshot accuracy24.5%+4.3%
first ⅓ avg 20.2% → last ⅓ avg 24.5%

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

0.18Best match rating · 13–2 · anubis, 27 Oct →
68%Best headshot accuracy · 13–10 · mirage, 10 Jan →
336msFastest reaction time · 8–13 · inferno, 4 Nov →
13–1Biggest win · mirage, 23 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
11–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 88% over 8dust2Weakest map · 53% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA2816–1257%-0.00
anubisA1610–663%0.01
dust2B158–753%0.00
nukeA117–464%-0.01
ancientS87–188%0.00
officeA74–357%0.02
cache—44–0100%0.00
inferno—42–250%0.02
vertigo—31–233%-0.13
train—20–20%0.04
cache_b—10–10%-0.05
overpass—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (53% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,133Lifetime kills
0.96K/D
1,903Matches
48.8%Match win rate · Top 50% of Level 10 players
48.8%Headshot %
13.8%Shot accuracy · Top 50% of Level 10 players
5,450MVPs
973Hours (in match)
2,175Bombs planted
866Bombs defused

Most-used weapons

AK-4712,893
AWP4,209
Knife907
MP9731

Lifetime map wins

1,551inferno
1,322nuke
1,318dust2
1,239vertigo
607train
220office
101cbble
64lake

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

Faceit stats

Combat

543Matches
57%Win rate
1.03Avg K/D
82.9ADR
50%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
20Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage12764%1.1216.5
Anubis6063%1.1517.2
Nuke3954%1.0917.0
Dust23850%0.9515.3
Ancient3845%0.9614.6
Cache2564%1.2817.7
Inferno1155%0.9013.4
Vertigo771%0.9112.9

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.

23.3%Headshot accuracy
38.1%Accuracy (enemy spotted)
39.8%Spray accuracy
81.8%Counter-strafing
7.7°Preaim
496msReaction time
48.8%T opening success
39.5%CT opening success
0.46Enemies flashed / flash
1.9%Flash assists
6.85HE damage / grenade
6.72Flashes / 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 0.459 — below the 0.5 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 39.4774% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache13–6-0.0128%4 Nov →
inferno8–130.0018%4 Nov →
nuke13–50.0219%4 Nov →
mirage9–13-0.0620%3 Nov →
nuke13–8-0.0023%2 Nov →
ancient5–2-0.0246%31 Oct →
anubis16–14-0.0114%28 Oct →
mirage4–13-0.0323%24 Oct →
nuke13–11-0.0016%22 Oct →
anubis8–13-0.0526%19 Oct →
anubis9–130.0423%15 Oct →
dust213–10-0.0211%14 Oct →
mirage13–6-0.0123%13 Oct →
dust28–13-0.0224%11 Oct →
anubis8–13-0.0328%10 Oct →
anubis13–40.0018%10 Oct →
mirage13–40.0633%10 Oct →
inferno11–13-0.0316%7 Oct →
mirage13–80.0233%27 Sept →
nuke13–40.0044%27 Sept →
nuke5–130.0020%24 Sept →
mirage13–110.0221%22 Sept →
dust29–13-0.0228%20 Sept →
nuke8–13-0.0219%20 Sept →
cache13–80.0464%19 Sept →
dust213–30.0517%18 Sept →
anubis13–70.0723%17 Sept →
ancient16–130.0320%16 Sept →
anubis13–90.0018%9 Sept →
anubis9–13-0.0411%8 Sept →
mirage11–13-0.0022%6 Sept →
mirage16–130.0232%5 Sept →
mirage7–13-0.0329%31 Aug →
mirage13–3-0.0314%29 Aug →
anubis19–17-0.0012%26 Aug →
cache13–90.0321%26 Aug →
mirage13–10.0628%23 Aug →
dust213–11-0.0116%22 Aug →
nuke13–5-0.0126%16 Aug →
anubis13–70.1119%14 Aug →
mirage13–100.0711%14 Aug →
dust213–30.0014%14 Aug →
mirage9–130.0027%12 Aug →
ancient13–7-0.0121%11 Aug →
vertigo13–4-0.0129%10 Aug →
dust213–10-0.0318%8 Aug →
ancient13–10-0.0815%7 Aug →
cache13–5-0.058%7 Aug →
mirage3–13-0.0715%7 Aug →
anubis13–4-0.0718%7 Aug →
mirage13–10-0.0017%16 Apr →
mirage13–8-0.0121%16 Apr →
nuke11–130.0231%3 Apr →
anubis13–10.0120%18 Mar →
ancient13–110.1717%11 Jan →
inferno13–110.1117%10 Jan →
dust212–120.1025%10 Jan →
mirage13–100.1068%10 Jan →
dust213–10.0314%8 Jan →
mirage13–11-0.0316%8 Jan →
office13–60.0323%8 Jan →
office13–110.0716%8 Jan →
anubis2–13-0.0223%7 Jan →
vertigo10–13-0.0617%7 Jan →
office12–120.0516%7 Jan →
nuke9–5-0.0314%7 Jan →
office7–13-0.0520%6 Jan →
office13–40.0811%6 Jan →
inferno13–10-0.0214%6 Jan →
train6–130.0521%6 Jan →
office13–80.0423%6 Jan →
office12–12-0.0623%5 Jan →
dust26–130.0223%28 Dec →
cache_b8–13-0.0526%28 Dec →
mirage3–13-0.0710%13 Nov →
ancient7–13-0.056%13 Nov →
mirage3–13-0.0619%5 Nov →
ancient13–5-0.0223%4 Nov →
nuke7–2-0.0321%2 Nov →
mirage4–13-0.0421%2 Nov →
dust26–13-0.0835%2 Nov →
overpass8–13-0.0617%28 Oct →
mirage10–130.0217%28 Oct →
dust213–100.0135%27 Oct →
anubis13–20.1814%27 Oct →
dust212–120.0517%27 Oct →
ancient13–110.0019%23 Oct →
dust213–2-0.0123%17 Mar →
mirage13–60.1239%16 Mar →
mirage1–10-0.0325%16 Mar →
mirage13–70.0620%10 Mar →
anubis13–11-0.0520%9 Mar →
mirage13–8-0.0416%7 Mar →
dust26–13-0.0510%21 Feb →
nuke12–16-0.0220%7 Feb →
mirage13–9-0.0528%20 Jan →
train12–120.0418%20 Jan →
vertigo0–9-0.3011%9 Jan →
mirage12–120.0119%8 Jan →
anubis10–130.0324%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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