adddduR

adddduR — CS2 Stats

AQ76561197985172465[U:1:24906737]Steam profile ↗✓ No bans

827Tracked matches67%Win rate2020Tracked since
5,199Hours in CS2Hrs last 2 wks
CSDB Rating6.8 SolidAll-Rounder
Premier CS Rating22,504Pink band · top ~5.7% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGadddduRFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,504 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning61
Utility63

0–100 skill scores via Leetify.

Recent form

HOT53–40–7Last 10053%Win rateLWWWWWTTWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −2.1pp headshot accuracy · +29ms reaction

Win rate up 20pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 773ms

Last 10

  • 7–1–2 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 680ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 666ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.4
Utility6.3
Positioning6.1
Opening Duels3.9
Clutch6.4

Strong T-side openerEffective flashes

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

ZywOo

Plays most like ZywOo 79% 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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 628ms 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

Aim6.4
Positioning6.1
Utility6.3
Mechanics7.0
Opening Duels5.0
Win Impact10.0

Composite 6.8/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time625ms−33ms
first ⅓ avg 658ms → last ⅓ avg 625ms
Headshot accuracy14.7%−3.4%
first ⅓ avg 18.1% → last ⅓ avg 14.7%

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

0.13Best match rating · 13–4 · inferno, 25 Sept →
36%Best headshot accuracy · 5–13 · dust2, 9 Sept →
422msFastest reaction time · 13–11 · inferno, 24 Jul →
12–0Biggest win · mirage, 24 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 63% over 8ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A3520–1557%0.01
infernoB2010–1050%0.01
cacheB136–746%-0.00
mirageA116–555%-0.01
anubisA85–363%0.03
ancientC73–443%-0.01
nukeB63–350%-0.02

Across the last 100 tracked matches.

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

Lifetime stats

156,102Lifetime kills
1.06K/D
11,617Matches
66.5%Match win rate
33.9%Headshot %
16.2%Shot accuracy
15,202MVPs
3,231Hours (in match)
5,577Bombs planted
1,345Bombs defused

Most-used weapons

AK-4736,856
AWP28,606
P2507,064
P906,206
FAMAS4,103

Lifetime map wins

31,990dust2
11,611inferno
2,377nuke
2,145cbble
1,318train
249vertigo
191aztec
185lake

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

Faceit stats

Combat

536Matches
52%Win rate
1.04Avg K/D
74.4ADR
34%Headshot %

Clutches & streaks

52%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2157%1.0316.6
Ancient1747%0.8512.3
Nuke1040%0.9917.1
Dust2944%1.3218.9
Mirage825%0.8913.0
Inferno743%0.9114.7

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.

14.2%Headshot accuracy
36.5%Accuracy (enemy spotted)
35.4%Spray accuracy
81.3%Counter-strafing
9.7°Preaim
628msReaction time
65.1%T opening success
34.7%CT opening success
0.74Enemies flashed / flash
6.8%Flash assists
9.94HE damage / grenade
8.09Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1536% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 34.7376% — below the 40% mark we flag

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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.066%14 Nov →
dust216–140.0412%14 Nov →
inferno13–80.0119%31 Oct →
dust213–10-0.0115%30 Oct →
dust213–7-0.058%30 Oct →
anubis13–6-0.049%30 Oct →
nuke15–150.0112%30 Oct →
dust212–12-0.0315%30 Oct →
inferno13–40.1313%25 Sept →
inferno13–50.0114%25 Sept →
anubis1–13-0.0323%17 Sept →
dust213–100.0115%17 Sept →
inferno11–13-0.034%17 Sept →
ancient0–13-0.099%17 Sept →
nuke13–100.0212%16 Sept →
ancient13–30.0520%16 Sept →
dust27–130.0315%16 Sept →
dust26–130.0515%12 Sept →
inferno13–50.1118%12 Sept →
mirage13–10-0.0216%9 Sept →
dust25–13-0.0636%9 Sept →
cache13–60.0522%8 Sept →
mirage13–100.0110%4 Sept →
dust213–10-0.0720%4 Sept →
cache11–13-0.0414%30 Aug →
dust213–11-0.0110%30 Aug →
mirage13–30.0514%29 Aug →
dust212–12-0.047%29 Aug →
inferno9–13-0.0217%29 Aug →
cache13–6-0.0115%29 Aug →
dust27–130.0318%29 Aug →
inferno13–9-0.0216%29 Aug →
nuke3–13-0.0616%28 Aug →
inferno15–150.0220%28 Aug →
cache9–130.000%24 Aug →
mirage12–0-0.0625%24 Aug →
inferno14–16-0.0415%24 Aug →
ancient15–15-0.0214%8 Aug →
dust216–140.0815%7 Aug →
anubis7–130.0711%31 Jul →
cache16–13-0.0221%30 Jul →
dust213–90.0520%29 Jul →
ancient13–110.0614%29 Jul →
anubis13–80.0530%29 Jul →
inferno13–11-0.0424%24 Jul →
ancient3–13-0.0011%24 Jul →
cache5–130.0217%24 Jul →
dust24–130.0314%24 Jul →
mirage3–130.018%24 Jul →
dust23–130.1018%24 Jul →
cache13–90.0415%24 Jul →
dust213–100.0013%23 Jul →
dust214–160.0125%23 Jul →
dust216–140.0516%22 Jul →
dust213–4-0.0223%22 Jul →
inferno13–90.0813%22 Jul →
inferno9–13-0.0326%20 Jul →
cache13–9-0.0422%20 Jul →
inferno15–15-0.0311%20 Jul →
dust213–9-0.0419%20 Jul →
dust213–60.0431%20 Jul →
mirage16–14-0.0215%19 Jul →
ancient7–13-0.0311%19 Jul →
inferno16–14-0.0212%19 Jul →
mirage6–13-0.0321%19 Jul →
nuke6–13-0.0612%19 Jul →
dust22–13-0.0016%19 Jul →
cache10–13-0.0520%19 Jul →
inferno10–13-0.0014%19 Jul →
dust26–13-0.0516%19 Jul →
cache9–13-0.0224%18 Jul →
inferno13–110.0910%18 Jul →
dust213–10-0.0211%18 Jul →
cache13–80.0624%18 Jul →
inferno11–13-0.0518%15 Jul →
dust28–13-0.0218%15 Jul →
nuke13–9-0.0516%15 Jul →
dust28–2-0.015%15 Jul →
dust213–60.0220%14 Jul →
cache15–15-0.0118%14 Jul →
dust27–13-0.019%14 Jul →
anubis13–60.0616%4 Jul →
dust213–80.0627%4 Jul →
nuke13–70.0112%3 Jul →
mirage8–13-0.0413%3 Jul →
inferno11–130.0320%3 Jul →
dust214–160.0721%3 Jul →
dust213–9-0.0029%3 Jul →
cache9–13-0.0121%3 Jul →
mirage13–110.0420%23 Jun →
dust213–110.0323%17 Jun →
ancient13–10-0.0016%17 Jun →
anubis13–70.0718%17 Jun →
mirage9–13-0.0219%14 Jun →
anubis13–30.0518%14 Jun →
inferno9–130.0121%12 Jun →
dust213–7-0.0123%12 Jun →
dust29–130.0519%12 Jun →
anubis6–13-0.0029%5 Jun →
inferno13–110.0211%5 Jun →

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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