Bruce

Bruce — CS2 Stats

76561197960396773[U:1:131045]Steam profile ↗✓ No bans

677Tracked matches40%Win rate2021Tracked since
CSDB Rating3.1 LearningAll-Rounder
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 677
0.0ppWin rate · 40.0% → 40.0%

Rating over time

Premier CS Rating: 3,862 +361 22 Mar – 13 Jan · 10 days played
3,3663,919peak 3,91922 Mar13 Jan
3,962Peak Premier in tracked matches
49Days played since 2025-03-09

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

Performance scores

Aim12
Positioning52
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY40–57–3Last 10040%Win rateLLLLWWWWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +0.8pp headshot accuracy · +53ms reaction

Win rate +10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 635ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 707ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 680ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim1.2
Utility4.7
Positioning5.2
Opening Duels5.2

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.

Strengths & areas to improve

Areas to improve

Reaction time. 674ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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
Positioning5.2
Utility4.7
Mechanics2.6
Opening Duels4.4
Win Impact1.7

Composite 3.1/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time688ms+17ms
first ⅓ avg 670ms → last ⅓ avg 688ms
Headshot accuracy11.0%−1.4%
first ⅓ avg 12.4% → last ⅓ avg 11.0%

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 · 13–4 · inferno, 22 Mar →
100%Best headshot accuracy · 6–13 · nuke, 17 Apr →
438msFastest reaction time · 13–6 · inferno, 22 Jan →
13–4Biggest win · nuke, 10 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
7–7In matches decided by ≤2 rounds
20Overtime games

Map breakdown

nukeBest map · 53% over 32trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB3217–1553%-0.01
infernoB179–853%-0.02
overpassD154–1127%-0.01
anubisB115–645%-0.02
cacheD62–433%-0.02
trainD51–420%-0.04
vertigoD51–420%-0.04
ancient—30–30%-0.05
mirage—31–233%-0.04
dust2—30–30%-0.01

Across the last 100 tracked matches.

Skill profile

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

11.3%Headshot accuracy
26.3%Accuracy (enemy spotted)
28.2%Spray accuracy
61.8%Counter-strafing
14.4°Preaim
674msReaction time
40.5%T opening success
54.6%CT opening success
0.36Enemies flashed / flash
3.4%Flash assists
5.52HE damage / grenade
7.11Flashes / 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 14.4074° — 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 11.3412% — below the 15% 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 0.3577 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0116%22 Sept →
cache5–13-0.044%7 Sept →
nuke8–13-0.0115%7 Sept →
anubis10–13-0.026%7 Sept →
inferno13–90.0412%7 Sept →
nuke16–12-0.066%2 Sept →
inferno13–11-0.0310%2 Sept →
nuke9–2-0.0617%31 Aug →
cache13–5-0.0214%27 Aug →
nuke7–13-0.0611%27 Aug →
nuke11–13-0.0210%23 Aug →
cache9–130.017%23 Aug →
anubis13–8-0.032%18 Aug →
cache13–60.0311%18 Aug →
inferno16–13-0.0210%18 Aug →
cache11–13-0.049%18 Aug →
cache8–13-0.0425%18 Aug →
nuke10–130.0117%9 Jun →
nuke13–50.0710%9 Jun →
overpass7–13-0.022%5 Jun →
overpass10–13-0.0411%16 May →
anubis16–120.0214%28 Apr →
overpass13–90.0420%28 Apr →
inferno3–13-0.1211%28 Apr →
inferno9–1-0.020%27 Mar →
nuke9–30.0113%27 Mar →
overpass5–13-0.0614%24 Mar →
inferno10–13-0.0816%24 Mar →
overpass10–130.0811%17 Mar →
nuke16–120.0412%17 Mar →
nuke8–130.018%24 Feb →
overpass4–13-0.0110%24 Feb →
overpass14–160.027%17 Feb →
overpass16–140.0817%17 Feb →
overpass6–13-0.0519%17 Feb →
anubis9–13-0.0510%10 Feb →
nuke13–40.0115%10 Feb →
inferno13–6-0.070%22 Jan →
nuke11–13-0.0217%13 Jan →
nuke13–60.0111%13 Jan →
nuke12–16-0.0117%23 Dec →
inferno16–140.0313%23 Dec →
nuke13–40.0420%16 Dec →
inferno13–40.0311%16 Dec →
train5–13-0.0610%16 Dec →
train8–13-0.0410%2 Dec →
inferno13–16-0.0421%15 Nov →
train13–11-0.037%15 Nov →
overpass10–130.0613%15 Nov →
nuke7–13-0.0610%15 Nov →
train15–15-0.018%15 Nov →
ancient8–13-0.0211%15 Nov →
nuke14–16-0.019%15 Nov →
overpass13–9-0.0416%15 Nov →
overpass13–10-0.0513%14 Nov →
nuke13–60.056%14 Nov →
overpass5–13-0.0512%14 Nov →
nuke13–10-0.039%14 Nov →
nuke9–80.0213%14 Nov →
train1–13-0.094%14 Nov →
overpass15–15-0.0511%21 Oct →
inferno13–6-0.0019%21 Oct →
nuke13–8-0.0512%27 Sept →
overpass8–13-0.017%17 Jul →
nuke12–120.026%15 Jul →
nuke13–11-0.057%5 May →
vertigo11–13-0.077%5 May →
nuke3–13-0.088%29 Apr →
nuke6–13-0.07100%17 Apr →
vertigo6–13-0.030%17 Apr →
ancient13–16-0.0513%15 Apr →
anubis16–12-0.0511%10 Apr →
mirage13–5-0.002%7 Apr →
inferno12–16-0.006%5 Apr →
nuke9–13-0.057%31 Mar →
inferno3–13-0.0311%30 Mar →
anubis1–13-0.088%30 Mar →
inferno7–13-0.0415%25 Mar →
inferno10–13-0.0017%25 Mar →
nuke16–120.0511%23 Mar →
vertigo8–13-0.0213%22 Mar →
nuke13–70.043%22 Mar →
vertigo13–5-0.0213%22 Mar →
inferno13–40.1013%22 Mar →
inferno10–13-0.025%21 Mar →
dust210–130.039%21 Mar →
mirage13–16-0.0610%20 Mar →
nuke13–70.017%20 Mar →
dust21–13-0.0715%19 Mar →
nuke13–80.0112%17 Mar →
anubis7–130.008%17 Mar →
vertigo11–13-0.0719%16 Mar →
anubis16–130.018%16 Mar →
nuke9–13-0.0415%16 Mar →
dust28–130.019%16 Mar →
ancient7–13-0.084%15 Mar →
anubis6–13-0.023%15 Mar →
nuke13–160.068%13 Mar →
mirage3–13-0.0719%11 Mar →
anubis16–14-0.009%9 Mar →

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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