da bob

da bob — CS2 Stats

GB76561198264975508[U:1:304709780]Steam profile ↗✓ No bans

1,654Tracked matches41%Win rate2020Tracked since
2,957Hours in CS6Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify

Performance scores

Aim71
Positioning64
Utility29

0–100 skill scores via Leetify.

Recent form

COLD48–45–7Last 10048%Win rateWLLWTWLLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −2.9pp headshot accuracy · +66ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 534ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 564ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 531ms

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 (+2.3 against its own average).

Aim7.1
Utility2.9
Positioning6.4
Opening Duels4.1
Clutch3.2

Limited utility dependence

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

donk

Plays most like donk 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

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

Aim7.1
Positioning6.4
Utility2.9
Mechanics5.7
Opening Duels5.6
Win Impact1.9

Composite 4.9/10 (Developing), 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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time506ms−69ms
first ⅓ avg 575ms → last ⅓ avg 506ms
Headshot accuracy18.9%−1.4%
first ⅓ avg 20.3% → last ⅓ avg 18.9%

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.

Personal bests

0.40Best match rating · 9–1 · inferno, 16 Jul →
43%Best headshot accuracy · 2–8 · nuke, 28 Jul →
289msFastest reaction time · 8–13 · vertigo, 12 Sept →
13–1Biggest win · cache, 27 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–8In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 67% over 6anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
vertigoB3418–1653%0.01
infernoB168–850%0.06
nukeC104–640%-0.01
mirageD62–433%0.04
cacheS64–267%0.01
officeA53–260%-0.02
dust2C52–340%-0.02
anubisD51–420%0.04
train—43–175%0.01
ancient—21–150%-0.01
boulder—20–20%0.02
shelter—21–150%-0.03
fachwerk—10–10%0.05
poseidon—10–10%-0.18
debris—11–0100%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

180,015Lifetime kills
1.55K/D · Top 5% of tracked players
5,248Matches
39.4%Match win rate
57.2%Headshot % · Top 10% of tracked players
11.0%Shot accuracy
10,148MVPs
3,491Hours (in match)
2,142Bombs planted
1,110Bombs defused

Most-used weapons

AK-4757,585
Glock-1818,558
AWP10,930
Knife9,061
FAMAS8,665
P904,523
P2504,433

Lifetime map wins

2,585nuke
2,395vertigo
2,286inferno
2,115dust2
864lake
789cbble
766train
528office

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

Faceit stats

Combat

314Matches
51%Win rate
1.05Avg K/D
78.4ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient7453%1.0414.2
Anubis6455%1.1115.6
Inferno4659%1.1614.5
Mirage3936%0.9916.2
Nuke3855%1.0015.0
Dust21560%0.9814.2
Train1242%1.0518.3
Overpass30%0.7914.3

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.

18.9%Headshot accuracy
32.3%Accuracy (enemy spotted)
34.1%Spray accuracy
75.6%Counter-strafing
9.2°Preaim
514msReaction time
56.6%T opening success
48.2%CT opening success
0.45Enemies flashed / flash
6.3%Flash assists
5.74HE damage / grenade
1.84Flashes / 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 0.4515 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–9-0.0318%31 Oct →
office8–130.0113%31 Oct →
dust211–13-0.0016%29 Oct →
nuke13–110.0023%28 Oct →
mirage12–120.0311%28 Oct →
cache13–10.1220%27 Oct →
cache1–13-0.0816%21 Oct →
inferno11–13-0.0221%19 Oct →
nuke11–13-0.0322%19 Oct →
inferno10–130.039%19 Oct →
vertigo10–13-0.0717%19 Oct →
vertigo13–100.0529%19 Oct →
nuke13–10-0.019%18 Oct →
nuke6–13-0.0217%18 Oct →
vertigo9–130.0121%18 Oct →
vertigo13–70.0429%18 Oct →
anubis8–13-0.0118%18 Oct →
dust23–13-0.0714%16 Oct →
vertigo12–12-0.0123%13 Oct →
vertigo8–13-0.0320%11 Oct →
vertigo13–80.0320%11 Oct →
vertigo9–130.0619%10 Oct →
vertigo13–10-0.0219%10 Oct →
vertigo11–13-0.0220%10 Oct →
train13–11-0.0722%8 Oct →
train7–00.0919%8 Oct →
vertigo12–120.0021%5 Oct →
cache13–80.0018%4 Oct →
vertigo3–130.0416%4 Oct →
vertigo9–130.0224%3 Oct →
vertigo4–13-0.0321%2 Oct →
anubis10–130.0813%18 Sept →
inferno13–4-0.0022%17 Sept →
anubis11–130.0716%17 Sept →
vertigo13–90.0120%16 Sept →
vertigo13–4-0.0136%16 Sept →
vertigo13–30.0127%15 Sept →
vertigo8–0-0.0613%15 Sept →
inferno9–20.3321%15 Sept →
vertigo13–80.0828%15 Sept →
vertigo13–9-0.1225%12 Sept →
vertigo8–13-0.140%12 Sept →
vertigo13–60.1321%7 Sept →
vertigo13–9-0.0233%7 Sept →
office13–7-0.0214%4 Sept →
dust26–00.0214%31 Aug →
vertigo13–7-0.0323%30 Aug →
vertigo7–2-0.0212%30 Aug →
cache13–30.0524%29 Aug →
mirage13–2-0.019%29 Aug →
ancient9–13-0.0311%23 Aug →
train13–50.0111%18 Aug →
train10–110.0119%18 Aug →
boulder4–130.0223%5 Aug →
inferno11–13-0.0624%4 Aug →
cache13–11-0.0313%3 Aug →
mirage7–13-0.0230%3 Aug →
vertigo9–50.1223%3 Aug →
inferno2–9-0.0125%2 Aug →
inferno9–70.1633%2 Aug →
inferno6–9-0.0326%2 Aug →
nuke13–70.0120%1 Aug →
dust213–60.0314%1 Aug →
inferno13–100.0125%31 Jul →
mirage13–40.0519%31 Jul →
anubis9–130.0715%31 Jul →
vertigo9–130.0429%30 Jul →
nuke2–80.0043%28 Jul →
boulder12–120.0322%28 Jul →
vertigo12–12-0.0121%28 Jul →
fachwerk9–130.0521%28 Jul →
anubis13–8-0.0018%28 Jul →
vertigo13–3-0.0627%28 Jul →
cache5–90.0119%28 Jul →
vertigo5–13-0.0018%28 Jul →
dust23–13-0.106%28 Jul →
mirage12–120.1416%27 Jul →
mirage5–130.0439%27 Jul →
inferno8–80.0435%25 Jul →
poseidon0–9-0.1818%25 Jul →
vertigo9–00.3228%24 Jul →
vertigo10–130.0219%23 Jul →
nuke9–30.0819%22 Jul →
nuke3–9-0.0218%22 Jul →
ancient13–90.0215%22 Jul →
nuke2–9-0.1523%22 Jul →
inferno5–9-0.196%22 Jul →
inferno9–60.0920%21 Jul →
inferno5–9-0.0122%21 Jul →
debris9–10.0713%21 Jul →
nuke5–9-0.0010%21 Jul →
vertigo13–11-0.0320%20 Jul →
vertigo11–13-0.0117%20 Jul →
inferno9–40.0820%16 Jul →
inferno9–10.4032%16 Jul →
inferno9–60.0822%11 Jul →
shelter13–80.0417%11 Jul →
shelter2–13-0.1114%10 Jul →
office13–3-0.0118%10 Jul →
office7–13-0.0214%10 Jul →

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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