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Dagda — CS2 Stats

76561199215768049[U:1:1255502321]

122Tracked matches61%Win rate2025Tracked since
112Hours in CS
CSDB Rating3.0 Learning
Premier CS Rating6,844Light Blue band · top ~70% of ranked players (population est.)
CSDB Leaderboard#40032 of 53199 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate31.9%39.7%41.4%9.6% short
Shot accuracy0.0%6.7%9.0%9.0% short
Kill/death ratio0.720.910.970.25 short
Match win rate41.4%42.1%43.7%2.3% short

This profile sits below the typical Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGDagdaPREMIER6,844 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim27
Positioning37
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY45–45–10Last 10045%Win rateLLTWLTLWWW

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Aim2.7
Aggression2.9
Utility2.6
Positioning3.7
Opening Duels0.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 64% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 40% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim2.7
Positioning3.7
Utility2.6
Mechanics2.9
Opening Duels1.2
Win Impact8.6

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.01
Reaction time684ms−28ms
first ⅓ avg 711ms → last ⅓ avg 684ms
Headshot accuracy8.9%−1.8%
first ⅓ avg 10.6% → last ⅓ avg 8.9%

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.

Highlights

0.17Best rating — anubis 13–9
13–0Biggest win — mirage
6Longest win streak
L2Current streak
6–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 60% over 10dust2Weakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC6426–3841%-0.03
nukeB126–650%-0.03
ancientA106–460%-0.01
dust2D62–433%-0.04
inferno—42–250%-0.04
overpass—32–167%0.01
anubis—11–0100%0.17

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,669Lifetime kills
0.72K/D
292Matches
41.4%Match win rate
31.9%Headshot %
0.0%Shot accuracy
485MVPs
112Hours (in match)
245Bombs planted
123Bombs defused

Most-used weapons

M4A4 / M4A1-S1,122
AK-47957
MP7245
AWP238
P2000 / USP-S236
Glock-18187
Galil AR186
FAMAS150
MAC-1050
SSG 0840

Lifetime map wins

340dust2
307nuke
127inferno
68train
1office
1vertigo

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.7%Headshot accuracy
33.9%Accuracy (enemy spotted)
32.8%Spray accuracy
63.2%Counter-strafing
11.3°Preaim
673msReaction time
21.8%T opening success
39.7%CT opening success
0.42Enemies flashed / flash
0.6%Flash assists
11.08HE damage / grenade
2.73Flashes / 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 8.7135% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4156 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 21.7948% — below the 40% mark we flag

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.

33% win rate across 6 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
nuke10–130.025%17 Jul →
nuke9–13-0.038%16 Jul →
dust212–12-0.0211%16 Jul →
nuke13–90.0417%16 Jul →
ancient6–130.037%29 Jun →
nuke12–12-0.057%29 Jun →
nuke11–13-0.019%29 Jun →
ancient13–30.0013%14 Jun →
nuke13–7-0.1011%14 Jun →
overpass13–20.1012%14 Jun →
dust213–60.048%14 Jun →
dust213–5-0.1211%13 Jun →
ancient13–6-0.0314%13 Jun →
mirage13–16-0.0211%25 May →
inferno16–14-0.006%25 May →
nuke6–13-0.086%25 May →
anubis13–90.1710%25 May →
ancient13–20.0310%24 May →
ancient12–16-0.027%24 May →
inferno13–9-0.136%24 May →
ancient10–130.058%24 May →
nuke13–80.018%24 May →
inferno10–130.012%23 May →
nuke13–5-0.046%23 May →
mirage13–10.108%23 May →
dust26–13-0.0312%23 May →
nuke13–9-0.059%23 May →
nuke13–20.008%23 May →
mirage13–60.049%18 May →
ancient8–13-0.097%18 May →
mirage5–10-0.0313%17 May →
ancient13–8-0.037%17 May →
overpass1–13-0.036%17 May →
overpass13–10-0.026%16 May →
ancient13–90.038%16 May →
ancient13–10-0.0410%16 May →
inferno7–13-0.037%15 May →
dust23–13-0.0614%15 May →
mirage8–130.0910%15 May →
mirage6–130.0717%15 May →
mirage12–120.089%14 May →
dust28–13-0.032%3 May →
nuke8–13-0.054%3 May →
mirage13–7-0.0218%3 May →
mirage13–11-0.0310%2 May →
mirage7–13-0.085%19 Apr →
mirage8–130.024%19 Apr →
mirage13–1-0.0212%19 Apr →
mirage8–13-0.087%19 Apr →
mirage12–12-0.047%19 Apr →
mirage4–13-0.133%18 Apr →
mirage9–13-0.0010%17 Apr →
mirage13–90.014%16 Apr →
mirage13–9-0.006%16 Apr →
mirage13–7-0.053%31 Mar →
mirage13–8-0.0510%30 Mar →
mirage13–00.0110%29 Mar →
mirage10–13-0.039%15 Mar →
mirage5–13-0.059%15 Mar →
mirage2–13-0.0813%15 Mar →
mirage5–13-0.126%10 Mar →
mirage3–13-0.0111%10 Mar →
mirage12–12-0.049%9 Feb →
mirage13–7-0.0111%8 Feb →
mirage13–10-0.0711%7 Feb →
mirage12–12-0.076%5 Feb →
mirage8–13-0.0811%5 Feb →
mirage5–13-0.049%5 Feb →
mirage9–13-0.067%5 Feb →
mirage13–8-0.0612%1 Feb →
mirage12–12-0.0510%30 Jan →
mirage12–12-0.1017%30 Jan →
mirage13–8-0.028%26 Jan →
mirage7–13-0.0513%26 Jan →
mirage7–13-0.1113%26 Jan →
mirage13–6-0.099%26 Jan →
mirage3–13-0.0310%23 Jan →
mirage13–60.039%23 Jan →
mirage7–30.0118%23 Jan →
mirage4–13-0.039%22 Jan →
mirage7–13-0.084%22 Jan →
mirage10–30.0124%22 Jan →
mirage0–2-0.080%22 Jan →
mirage13–11-0.049%17 Jan →
mirage9–13-0.0818%17 Jan →
mirage13–7-0.043%17 Jan →
mirage12–12-0.1010%17 Jan →
mirage13–11-0.117%11 Jan →
mirage4–13-0.0612%11 Jan →
mirage13–4-0.0126%3 Jan →
mirage9–00.0219%29 Dec →
mirage7–60.027%29 Dec →
mirage4–13-0.092%29 Dec →
mirage11–13-0.0013%28 Dec →
mirage12–12-0.037%26 Dec →
mirage13–11-0.0613%25 Dec →
mirage9–13-0.083%25 Dec →
mirage12–0-0.0211%25 Dec →
mirage11–130.0011%25 Dec →
mirage9–130.049%22 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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