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bob

bob — CS2 Stats

76561198043883908[U:1:83618180]Steam profile ↗✓ No bans

551Tracked matches33%Win rate2020Tracked since
CSDB Rating2.2 Learning
Ladder ranks via Leetify

Performance scores

Aim12
Positioning42
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY29–67–4Last 10029%Win rateWLLLWLWWLW

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

Player DNA

Aim1.2
Aggression3.6
Utility1.8
Positioning4.2
Opening Duels1.8
Clutch5.0

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 68% playstyle similarity

Most alike: opening-duel success, 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 49% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 741ms 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

Aim1.2
Positioning4.2
Utility1.8
Mechanics3.0
Opening Duels2.4
Win Impact0.0

Composite 2.2/10 (Learning), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time748ms+83ms
first ⅓ avg 665ms → last ⅓ avg 748ms
Headshot accuracy17.8%+1.6%
first ⅓ avg 16.3% → last ⅓ avg 17.8%

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

0.13Best rating — train 4–13
13–1Biggest win — inferno
4Longest win streak
3–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 63% over 16vertigoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeD184–1422%-0.03
infernoA1610–663%-0.02
trainD153–1220%-0.02
dust2C145–936%-0.01
mirageD133–1023%-0.06
ancientD102–820%-0.03
overpassC52–340%-0.03
vertigoD50–50%-0.04
anubis—20–20%-0.02
office—10–10%-0.02
thera—10–10%-0.09

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

223Matches
50%Win rate
1.04Avg K/D
73.4ADR
40%Headshot %

Clutches & streaks

45%1v1 clutch win
31%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2152%1.0413.2
Inferno1753%0.9416.1
Dust21540%0.9813.6
Nuke944%0.6810.4
Vertigo922%0.7213.0
Anubis757%1.0315.6
Ancient633%0.7012.5
Train10%0.7710.0

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.

17.8%Headshot accuracy
24.5%Accuracy (enemy spotted)
26.1%Spray accuracy
63.4%Counter-strafing
13.8°Preaim
741msReaction time
25.0%T opening success
49.4%CT opening success
0.50Enemies flashed / flash
2.9%Flash assists
8.00HE damage / grenade
7.83Flashes / 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 13.8046° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 741.0132ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.4956 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–5-0.078%7 Aug →
dust23–13-0.0425%20 Apr →
ancient4–13-0.0711%12 Mar →
dust29–13-0.0514%11 Mar →
inferno13–10-0.0421%23 Oct →
train4–13-0.0624%17 Oct →
inferno13–100.0017%17 Oct →
train13–3-0.0226%14 Oct →
ancient13–16-0.017%9 Oct →
overpass13–9-0.0115%9 Oct →
nuke5–13-0.0515%8 Oct →
inferno16–120.0022%8 Oct →
mirage13–5-0.0313%7 Oct →
dust210–13-0.0317%5 Oct →
mirage8–13-0.058%28 Sept →
dust26–130.0217%28 Sept →
inferno10–13-0.1425%27 Sept →
nuke13–40.1122%27 Sept →
nuke13–90.0125%26 Sept →
train8–13-0.0715%26 Sept →
overpass13–100.0517%26 Sept →
inferno2–8-0.0324%25 Sept →
nuke8–13-0.0832%24 Sept →
nuke4–13-0.0633%24 Sept →
dust29–13-0.0325%23 Sept →
nuke1–8-0.1010%23 Sept →
overpass11–13-0.090%21 Sept →
train7–13-0.0510%21 Sept →
nuke5–13-0.068%21 Sept →
dust28–13-0.0018%20 Sept →
inferno13–80.0122%19 Sept →
mirage9–13-0.0313%18 Sept →
nuke7–13-0.0030%17 Sept →
nuke11–13-0.0522%15 Sept →
inferno13–60.0427%11 Sept →
inferno13–9-0.0325%10 Sept →
train13–6-0.0120%10 Sept →
inferno13–90.0214%10 Sept →
mirage6–13-0.0711%7 Sept →
inferno5–130.0115%6 Sept →
dust213–20.1223%5 Sept →
overpass7–13-0.0420%5 Sept →
dust213–6-0.0033%26 Aug →
overpass6–13-0.0524%16 Jul →
mirage3–6-0.190%9 Jul →
ancient9–13-0.0321%4 Jul →
nuke2–8-0.0117%2 Jul →
mirage7–130.0126%13 Jan →
dust27–130.0225%8 Jan →
vertigo7–13-0.140%8 Jan →
nuke2–10-0.0514%7 Jan →
nuke13–80.0714%6 Jan →
inferno10–13-0.0322%6 Jan →
vertigo15–15-0.0126%6 Jan →
mirage2–13-0.077%6 Jan →
vertigo4–13-0.0722%21 Dec →
dust24–13-0.0729%19 Dec →
mirage0–13-0.0712%18 Dec →
inferno1–13-0.0418%18 Dec →
train10–13-0.1116%14 Dec →
ancient4–13-0.119%14 Dec →
mirage13–50.0210%14 Dec →
inferno0–13-0.0720%14 Dec →
mirage6–13-0.138%11 Dec →
ancient2–130.0019%11 Dec →
dust213–110.029%30 Nov →
inferno13–1-0.0315%30 Nov →
mirage5–13-0.057%27 Nov →
train1–7-0.0813%27 Nov →
inferno16–140.0113%27 Nov →
nuke15–15-0.0314%27 Nov →
dust213–100.0413%27 Nov →
mirage13–5-0.0633%27 Nov →
ancient12–120.0618%27 Nov →
dust213–11-0.0811%26 Nov →
ancient0–8-0.0925%24 Nov →
train5–13-0.0320%17 Nov →
train3–13-0.0317%14 Nov →
vertigo14–16-0.035%14 Nov →
anubis8–13-0.0217%14 Nov →
train11–13-0.0214%14 Nov →
train4–130.1319%14 Nov →
train3–13-0.089%14 Nov →
train13–20.0814%14 Nov →
train4–13-0.0419%14 Nov →
train2–40.016%14 Nov →
office9–13-0.0211%12 Nov →
ancient13–80.0114%12 Nov →
thera2–13-0.0916%12 Nov →
mirage5–13-0.0316%12 Nov →
anubis7–13-0.028%11 Nov →
nuke7–13-0.037%22 Oct →
dust24–13-0.0225%22 Oct →
ancient13–9-0.0230%22 Oct →
inferno13–8-0.0025%21 Oct →
nuke5–13-0.1230%21 Oct →
nuke8–13-0.0121%21 Oct →
ancient11–13-0.098%19 Oct →
nuke7–13-0.0424%19 Oct →
vertigo12–120.0616%19 Oct →

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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