Datora

Datora — CS2 Stats

SR76561198340051651[U:1:379785923]Steam profile ↗✓ No bans

652Tracked matches64%Win rate2020Tracked since
3,567Hours in CS24Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating24,477Top 25% of 215,386 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)
CSDB Leaderboard#28807 of 261506 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 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: 24,477 +5,924 2 Apr – 6 Nov · 33 days played
18,55324,477peak 24,4772 Apr6 Nov
24,559Peak Premier in tracked matches
1,605Highest Faceit ELO seen on CSDB
58Days played since 2026-02-02

Premier CS Rating

  • At peak — 24,477
  • +692 over 30 days · improving
  • Next: Red band at 25,000 — 523 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate54.9%48.2%50.9%above
Shot accuracy12.8%13.2%13.7%0.9% short
Kill/death ratio1.761.071.09above
Match win rate50.7%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDatoraFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER24,477 · Pink bandPEAK ELO1,605csdb.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

Aim81
Positioning71
Utility59

0–100 skill scores via Leetify.

Recent form

HOT64–33–3Last 10064%Win rateWTWWLWWWWL

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating · −9.4pp headshot accuracy · −63ms reaction

Win rate up 20pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 25%
  • Avg reaction 556ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 27%
  • Avg reaction 527ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 32%
  • Avg reaction 559ms

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 (+1.3 against its own average).

Aim8.1
Utility5.9
Positioning7.1
Opening Duels5.9
Clutch4.2

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

m0NESY

Plays most like m0NESY 95% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 563ms 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

Aim8.1
Positioning7.1
Utility5.9
Mechanics7.4
Opening Duels5.6
Win Impact9.8

Composite 7.5/10 (Strong), 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 rating0.03−0.05
first ⅓ avg 0.07 → last ⅓ avg 0.03
Reaction time577ms−8ms
first ⅓ avg 585ms → last ⅓ avg 577ms
Headshot accuracy31.0%+2.8%
first ⅓ avg 28.2% → last ⅓ avg 31.0%

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

0.25Best match rating · 13–11 · inferno, 10 Mar →
100%Best headshot accuracy · 3–0 · nuke, 1 Sept →
438msFastest reaction time · 1–8 · anubis, 21 Apr →
13–0Biggest win · dust2, 11 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 80% over 5ancientWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%0.04
mirageS1914–574%0.07
infernoS1914–574%0.07
ancientB115–645%0.06
anubisA74–357%0.01
cacheA74–357%0.01
nukeS75–271%0.06
overpassS54–180%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

163,910Lifetime kills
1.76K/D · Top 5% of Level 9 players
4,811Matches
50.7%Match win rate · Top 25% of Level 9 players
54.9%Headshot % · Top 25% of Level 9 players
12.8%Shot accuracy
17,514MVPs
3,743Hours (in match)
5,810Bombs planted
1,135Bombs defused

Most-used weapons

AK-4757,780
AWP19,266
SG 5533,651
P2503,001
SSG 082,519

Lifetime map wins

9,279dust2
5,586inferno
1,441nuke
1,194vertigo
1,106train
1,030cbble
761lake
555safehouse

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

Faceit stats

Combat

196Matches
58%Win rate
1.66Avg K/D
110.3ADR
50%Headshot %

Clutches & streaks

41%1v1 clutch win
39%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3959%1.5421.6
Dust23148%1.6722.4
Anubis2669%2.0724.5
Ancient1242%1.6623.3
Inferno978%2.3627.6
Nuke10%1.3822.0
Cache1100%2.3633.0
Vertigo10%0.6312.0

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.

29.0%Headshot accuracy
31.0%Accuracy (enemy spotted)
34.7%Spray accuracy
83.3%Counter-strafing
9.2°Preaim
563msReaction time
48.1%T opening success
56.9%CT opening success
0.63Enemies flashed / flash
6.4%Flash assists
9.96HE damage / grenade
11.68Flashes / match

Recommended for you

Spend your practice time on Ancient

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–80.0723%13 Nov →
mirage12–120.0735%9 Nov →
inferno9–60.1039%6 Nov →
mirage13–60.1110%6 Nov →
inferno9–130.0520%6 Nov →
anubis13–3-0.0728%6 Nov →
cache13–80.0242%23 Oct →
dust213–80.1226%4 Oct →
ancient13–30.0019%21 Sept →
mirage13–160.0330%4 Sept →
dust215–15-0.0132%1 Sept →
dust21–13-0.0833%1 Sept →
nuke3–00.00100%1 Sept →
cache13–3-0.0322%31 Aug →
mirage10–130.0527%31 Aug →
inferno13–70.0937%17 Aug →
dust211–13-0.0133%10 Aug →
inferno13–8-0.0034%1 Aug →
cache1–13-0.0824%1 Aug →
anubis13–50.0224%23 Jul →
inferno13–60.0123%23 Jul →
nuke8–130.0822%16 Jul →
mirage13–90.0329%16 Jul →
cache13–70.0228%16 Jul →
inferno13–30.0422%16 Jul →
dust213–110.0230%15 Jul →
cache11–13-0.0138%13 Jul →
inferno13–20.1033%5 Jul →
ancient13–20.1740%5 Jul →
dust211–130.0625%3 Jul →
inferno6–13-0.0834%29 Jun →
mirage11–130.0332%23 Jun →
anubis13–50.0528%23 Jun →
inferno13–100.0437%23 Jun →
dust213–8-0.0821%22 Jun →
nuke13–80.1131%16 Jun →
nuke13–40.0410%16 Jun →
dust213–10-0.0725%13 Jun →
dust210–130.1033%11 Jun →
overpass13–90.1028%9 Jun →
mirage13–50.1527%2 Jun →
dust213–80.0925%2 Jun →
overpass8–130.0612%31 May →
dust213–60.0031%28 May →
ancient13–30.1127%26 May →
overpass13–20.0521%20 May →
ancient11–130.0126%14 May →
dust213–110.0916%13 May →
overpass13–100.0725%13 May →
dust26–13-0.1029%13 May →
cache13–50.1028%12 May →
mirage13–40.1133%10 May →
ancient13–20.1922%5 May →
dust210–130.0431%4 May →
cache4–130.0519%3 May →
mirage13–50.0130%1 May →
dust211–130.0516%29 Apr →
mirage13–40.0219%29 Apr →
mirage13–20.0945%22 Apr →
inferno13–110.1037%21 Apr →
ancient2–13-0.0826%21 Apr →
overpass13–30.0631%21 Apr →
anubis1–80.0918%21 Apr →
mirage13–100.1031%21 Apr →
nuke12–16-0.0015%21 Apr →
inferno13–20.1020%21 Apr →
anubis11–13-0.0233%15 Apr →
dust213–40.0421%12 Apr →
inferno10–130.0132%12 Apr →
ancient0–2-0.000%12 Apr →
dust213–100.0429%7 Apr →
anubis13–100.0827%7 Apr →
inferno13–40.1038%3 Apr →
ancient13–70.0536%2 Apr →
inferno15–15-0.0227%2 Apr →
mirage8–130.1130%30 Mar →
inferno14–160.0833%29 Mar →
dust26–130.0445%29 Mar →
ancient7–130.0722%29 Mar →
dust213–90.0933%29 Mar →
nuke13–60.0723%29 Mar →
dust213–100.1230%25 Mar →
mirage13–110.1227%23 Mar →
inferno7–30.2220%23 Mar →
mirage13–70.0633%20 Mar →
dust213–110.0338%20 Mar →
ancient11–130.0030%16 Mar →
mirage13–50.2026%12 Mar →
dust25–13-0.0433%12 Mar →
dust213–00.2333%11 Mar →
inferno13–110.2532%10 Mar →
nuke13–100.1130%10 Mar →
mirage13–11-0.0123%10 Mar →
inferno9–20.1438%13 Feb →
mirage13–70.0127%13 Feb →
ancient9–130.1119%13 Feb →
anubis2–13-0.0619%13 Feb →
inferno13–80.0623%9 Feb →
mirage13–80.0621%9 Feb →
dust210–130.0833%2 Feb →

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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