dolbajop

dolbajop — CS2 Stats

CG76561198962446283[U:1:1002180555]Steam profile ↗✓ No bans

1,964Tracked matches50%Win rate2021Tracked since
CSDB Rating5.8 SolidPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 75 days played since 1 Nov 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,898 +1,240 26 Dec23 Jan · 4 days played
8,6589,999peak 9,99926 Dec23 Jan
9,999Peak Premier in tracked matches
1,777Highest Faceit ELO seen on CSDB
75Days played since 2024-11-01

Faceit ELO

  • At peak — 1,777
  • Next: Level 10 at 2,001 224 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

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CSDB.GGdolbajopPEAK ELO1,777csdb.gg/stats

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Performance scores

Aim80
Positioning63
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY41536Last 10041%Win rateLLLLWWWLWT

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −33ms reaction

Win rate down 30pp 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

  • 14 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 561ms

Last 10

  • 451 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 562ms

Last 20

  • 1172 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 578ms

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 PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim8.0
Utility2.6
Positioning6.3
Opening Duels6.0
Clutch3.0

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

s1mple

Plays most like s1mple 90% 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.

T-side openings. Opening success drops from 58% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim8.0
Positioning6.3
Utility2.6
Mechanics7.0
Opening Duels5.0
Win Impact5.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time595ms−13ms
first ⅓ avg 608ms → last ⅓ avg 595ms
Headshot accuracy24.1%−7.0%
first ⅓ avg 31.2% → last ⅓ avg 24.1%

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

0.17Best match rating · 13–7 · nuke, 1 Dec
58%Best headshot accuracy · 11–0 · edin, 1 Jan
367msFastest reaction time · 6–9 · vertigo, 26 Feb
13–2Biggest win · train, 23 May

Across the last 100 tracked matches.

Highlights

3Longest win streak
L4Current streak
89In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 69% over 13infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageD2481633%0.00
anubisS139469%-0.01
ancientA116555%-0.01
nukeB115645%0.03
infernoD82625%0.00
trainC83538%0.01
dust2C73443%0.01
vertigo42250%0.03
overpass3030%-0.01
cache21150%-0.01
palais2020%-0.08
whistle2020%-0.08
sanctum110100%0.03
poseidon1010%-0.12
jura1010%-0.07
edin110100%0.08
memento1010%-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,206Matches
50%Win rate
1.02Avg K/D
79.1ADR
47%Headshot %

Clutches & streaks

35%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage35252%1.0516.5
Anubis19056%1.0115.2
Ancient13554%1.0916.6
Nuke7141%0.9915.2
Dust26442%1.0414.5
Vertigo4740%0.9015.0
Inferno4243%0.9514.6
Train3456%0.9816.4

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.

22.6%Headshot accuracy
37.0%Accuracy (enemy spotted)
38.3%Spray accuracy
81.3%Counter-strafing
9.7°Preaim
592msReaction time
41.3%T opening success
58.5%CT opening success
0.36Enemies flashed / flash
7.5%Flash assists
7.26HE damage / grenade
3.29Flashes / 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 0.3563 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–130.0123%16 Aug
dust26–13-0.0524%26 Jul
mirage9–130.0816%24 Jun
ancient3–13-0.0117%15 Jun
mirage16–130.0219%12 Jun
nuke16–140.0120%9 Jun
cache13–11-0.0221%25 May
cache7–130.0136%21 May
inferno9–50.0423%11 May
inferno8–8-0.0125%11 May
ancient13–80.0121%27 Apr
sanctum9–70.0319%26 Apr
inferno8–8-0.0227%26 Apr
anubis13–80.0117%12 Apr
anubis13–80.0221%4 Apr
inferno9–70.0826%29 Mar
poseidon5–9-0.1221%29 Mar
mirage13–50.0639%26 Mar
ancient16–130.0323%26 Mar
nuke7–130.0425%26 Mar
mirage5–130.0222%24 Mar
dust26–70.0339%28 Feb
dust210–130.0415%21 Feb
inferno8–8-0.0155%6 Feb
mirage13–11-0.0436%18 Jan
ancient13–40.0011%10 Jan
vertigo13–60.0633%9 Jan
nuke11–13-0.0320%9 Jan
mirage13–100.0116%13 Dec
mirage13–30.0731%7 Dec
ancient7–13-0.0321%3 Dec
nuke13–70.1728%1 Dec
inferno8–13-0.038%25 Nov
dust213–80.0122%10 Nov
train11–130.0017%5 Oct
mirage8–13-0.0023%22 Sept
dust211–13-0.0232%29 Aug
mirage6–13-0.0221%25 Aug
overpass10–130.0227%22 Aug
overpass1–13-0.0817%9 Aug
overpass12–120.0420%20 Jul
mirage13–16-0.0020%12 Jul
nuke9–13-0.0739%9 Jul
anubis7–130.0220%6 Jul
nuke4–130.0017%3 Jul
mirage13–8-0.0221%26 Jun
mirage7–13-0.0324%15 Jun
anubis14–16-0.0120%7 Jun
nuke13–100.0331%6 Jun
anubis5–130.0128%5 Jun
train10–130.0226%31 May
dust213–9-0.0419%28 May
anubis13–10-0.0219%25 May
mirage9–13-0.0316%25 May
ancient7–13-0.0620%25 May
mirage9–130.0120%25 May
ancient13–50.0418%24 May
anubis3–13-0.135%23 May
ancient13–11-0.0322%23 May
anubis13–50.0125%23 May
train13–2-0.0122%23 May
mirage10–13-0.0427%23 May
anubis13–6-0.0416%22 May
nuke8–130.0313%21 May
anubis13–9-0.0324%17 May
nuke13–30.1017%9 May
jura6–13-0.0734%8 May
anubis13–8-0.0336%7 May
mirage13–90.0121%7 May
mirage9–13-0.0033%27 Apr
ancient5–13-0.0230%27 Apr
palais6–9-0.0842%27 Apr
whistle5–9-0.0535%27 Apr
ancient8–13-0.0219%25 Apr
nuke1–13-0.0347%24 Apr
mirage13–100.0838%21 Apr
mirage9–13-0.0213%21 Apr
dust216–130.0842%9 Apr
train5–13-0.0027%7 Apr
mirage11–13-0.0138%6 Apr
anubis13–100.0327%3 Apr
train10–13-0.0125%27 Mar
mirage14–160.0123%27 Feb
vertigo6–9-0.0133%26 Feb
inferno7–90.0235%26 Feb
mirage1–13-0.0323%23 Jan
inferno13–16-0.0413%21 Jan
mirage4–13-0.0820%21 Jan
anubis13–110.0338%20 Jan
edin11–00.0858%1 Jan
vertigo13–110.0216%28 Dec
palais2–9-0.0942%28 Dec
whistle5–9-0.1125%28 Dec
vertigo8–80.0519%26 Dec
nuke13–20.0439%26 Dec
train13–60.0243%24 Nov
train5–13-0.0350%14 Nov
train13–80.0932%14 Nov
ancient13–80.0328%1 Nov
memento8–8-0.1017%1 Nov

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 →