Dabdor

Dabdor — CS2 Stats

DE76561198026748905[U:1:66483177]Steam profile ↗✓ No bans

1,325Tracked matches69%Win rate2023Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating16,834Purple band · top ~21.1% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). 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: 16,834 +2,673 27 Aug – 3 Nov · 32 days played
13,85017,606peak 17,60627 Aug3 Nov
17,606Peak Premier in tracked matches
35Days played since 2026-08-27

Premier CS Rating

  • 772 below peak (17,606)
  • +1,834 over 30 days · improving
  • Next: Pink band at 20,000 — 3,166 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-10-19
  • Light Blue band first seen 2026-10-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGDabdorFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,834 · Purple bandcsdb.gg/stats

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Performance scores

Aim40
Positioning37
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY58–38–4Last 10058%Win rateWLWLWWWLLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −3.9pp headshot accuracy · −14ms 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 -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 577ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 573ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 580ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim4.0
Utility5.5
Positioning3.7
Opening Duels1.1
Clutch3.2

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

Twistzz

Plays most like Twistzz 73% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.0
Positioning3.7
Utility5.5
Mechanics3.9
Opening Duels1.2
Win Impact10.0

Composite 4.5/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time572ms+3ms
first ⅓ avg 569ms → last ⅓ avg 572ms
Headshot accuracy11.2%−0.5%
first ⅓ avg 11.7% → last ⅓ avg 11.2%

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

0.10Best match rating · 13–5 · anubis, 29 Sept →
31%Best headshot accuracy · 13–9 · train, 4 Sept →
391msFastest reaction time · 4–13 · vertigo, 29 Oct →
13–0Biggest win · train, 12 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 80% over 5mirageWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
anubisS1813–572%-0.00
ancientC167–944%0.00
dust2A148–657%-0.03
mirageC125–742%-0.03
infernoA106–460%-0.02
nukeS96–367%-0.02
cacheS97–278%-0.02
trainS54–180%0.01
vertigo—31–233%-0.03
overpass—31–233%-0.00
fachwerk—10–10%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

27Matches
48%Win rate
0.82Avg K/D
64.5ADR
29%Headshot %

Clutches & streaks

36%1v1 clutch win
32%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis729%0.8512.0
Cache667%0.8011.0
Inferno3100%0.8112.7
Mirage367%0.8614.7
Ancient333%0.7113.0
Dust2250%0.6812.5
Overpass10%0.335.0
Nuke10%1.0618.0

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.

11.6%Headshot accuracy
32.8%Accuracy (enemy spotted)
34.9%Spray accuracy
67.4%Counter-strafing
12.5°Preaim
571msReaction time
30.0%T opening success
39.3%CT opening success
0.63Enemies flashed / flash
5.1%Flash assists
5.58HE damage / grenade
8.04Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5448° — above the 12° mark we flag

    Aim Training →
  2. 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 11.625% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–14-0.0110%3 Nov →
anubis8–13-0.0910%31 Oct →
dust213–10-0.0111%31 Oct →
dust214–16-0.074%31 Oct →
mirage13–10-0.0312%31 Oct →
mirage13–50.0210%31 Oct →
train13–9-0.059%30 Oct →
ancient3–13-0.0010%30 Oct →
ancient9–13-0.055%30 Oct →
anubis13–110.0115%30 Oct →
mirage5–13-0.0621%30 Oct →
vertigo4–13-0.073%29 Oct →
ancient13–6-0.0215%29 Oct →
anubis13–10-0.0321%29 Oct →
nuke13–8-0.0817%29 Oct →
dust214–16-0.0513%29 Oct →
ancient13–100.058%28 Oct →
dust25–8-0.0210%26 Oct →
cache13–70.0214%26 Oct →
cache13–80.0213%26 Oct →
anubis13–110.0012%26 Oct →
mirage13–110.058%23 Oct →
anubis15–15-0.0213%22 Oct →
nuke13–11-0.0110%22 Oct →
ancient13–10.1010%21 Oct →
dust216–13-0.0211%20 Oct →
anubis13–110.0213%18 Oct →
cache13–9-0.0711%16 Oct →
cache13–9-0.0215%16 Oct →
nuke11–130.0219%16 Oct →
ancient13–10-0.027%14 Oct →
mirage12–16-0.0210%14 Oct →
mirage3–13-0.062%14 Oct →
inferno10–13-0.0711%14 Oct →
anubis13–10.0125%13 Oct →
ancient10–130.0316%13 Oct →
dust213–9-0.0213%13 Oct →
cache13–60.0023%13 Oct →
anubis13–90.056%13 Oct →
mirage10–13-0.069%13 Oct →
nuke13–11-0.0010%13 Oct →
nuke13–10-0.0411%12 Oct →
dust28–13-0.0913%12 Oct →
cache13–5-0.018%12 Oct →
anubis13–70.004%8 Oct →
mirage6–130.0116%8 Oct →
dust213–5-0.0418%7 Oct →
anubis13–6-0.0318%6 Oct →
inferno13–70.014%6 Oct →
ancient15–15-0.019%6 Oct →
ancient7–13-0.0424%5 Oct →
inferno1–13-0.085%3 Oct →
inferno13–80.0319%2 Oct →
ancient15–15-0.0111%2 Oct →
anubis13–7-0.0114%2 Oct →
ancient11–13-0.058%30 Sept →
mirage2–13-0.076%30 Sept →
anubis9–13-0.0311%29 Sept →
anubis9–13-0.080%29 Sept →
dust213–100.0117%29 Sept →
anubis13–50.1011%29 Sept →
cache10–130.0115%26 Sept →
ancient14–16-0.0213%26 Sept →
inferno13–8-0.0511%26 Sept →
dust213–9-0.056%24 Sept →
ancient13–90.0610%24 Sept →
cache13–10-0.0610%24 Sept →
inferno15–150.037%15 Sept →
nuke3–13-0.0421%12 Sept →
train9–13-0.029%12 Sept →
inferno13–5-0.038%12 Sept →
train13–00.0010%12 Sept →
overpass13–110.038%12 Sept →
mirage13–9-0.0315%12 Sept →
ancient13–100.0214%10 Sept →
dust210–13-0.0516%10 Sept →
anubis13–90.0114%10 Sept →
nuke11–13-0.0610%10 Sept →
inferno13–6-0.019%6 Sept →
overpass11–130.006%4 Sept →
ancient8–130.0011%4 Sept →
vertigo3–13-0.0711%4 Sept →
dust213–40.0313%4 Sept →
train13–90.0631%4 Sept →
anubis6–13-0.048%3 Sept →
overpass7–13-0.0410%3 Sept →
fachwerk9–130.0112%3 Sept →
ancient13–6-0.040%3 Sept →
dust25–13-0.0427%3 Sept →
nuke16–130.0610%2 Sept →
dust211–30.0017%1 Sept →
cache7–13-0.046%28 Aug →
anubis13–20.0814%28 Aug →
train13–50.067%28 Aug →
inferno13–70.0415%28 Aug →
vertigo13–00.0519%28 Aug →
mirage3–13-0.089%28 Aug →
nuke10–30.003%28 Aug →
inferno10–13-0.0313%28 Aug →
mirage13–7-0.054%27 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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