Strawma

Strawma — CS2 Stats

GB76561198849074184[U:1:888808456]Steam profile ↗✓ No bans

209Tracked matches41%Win rate2021Tracked since
165Hours in CS
CSDB Rating2.8 LearningPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,604 +937 24 Oct – 28 Nov · 2 days played
12,66713,604peak 13,60424 Oct28 Nov
13,604Peak Premier in tracked matches
47Days played since 2024-09-23

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

Performance scores

Aim37
Positioning42
Utility11

0–100 skill scores via Leetify.

Recent form

COLD40–53–7Last 10040%Win rateLLWLWLLLLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −0.2pp headshot accuracy · −16ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 513ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 555ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 563ms

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 against its own average).

Aim3.7
Utility1.1
Positioning4.2
Opening Duels1.2

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 80% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim3.7
Positioning4.2
Utility1.1
Mechanics2.4
Opening Duels0.7
Win Impact2.1

Composite 2.8/10 (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-0.02+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time595ms−73ms
first ⅓ avg 667ms → last ⅓ avg 595ms
Headshot accuracy12.6%+1.5%
first ⅓ avg 11.1% → last ⅓ avg 12.6%

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

0.20Best match rating · 9–1 · vertigo, 28 Mar →
50%Best headshot accuracy · 6–2 · agency, 12 Sept →
422msFastest reaction time · 13–6 · anubis, 15 Jun →
13–3Biggest win · ancient, 10 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
5–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 71% over 7anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeD186–1233%-0.04
infernoB136–746%-0.02
overpassC104–640%-0.03
ancientC94–544%-0.02
mirageS75–271%-0.01
dust2D62–433%-0.03
anubisD51–420%-0.01
trainC52–340%-0.02
vertigo—43–175%0.04
office—40–40%-0.04
jura—31–233%-0.02
cache—21–150%-0.03
rooftop—20–20%-0.02
brewery—21–150%-0.11
grail—21–150%-0.02
italy—21–150%-0.03
agency—22–0100%-0.08
poseidon—10–10%-0.25
alpine—10–10%0.03
palacio—10–10%-0.14
golden—10–10%-0.11

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

6,143Lifetime kills
0.78K/D
521Matches
43.6%Match win rate
45.5%Headshot % · Top 50% of tracked players
11.2%Shot accuracy
638MVPs
165Hours (in match)
455Bombs planted
72Bombs defused

Most-used weapons

Lifetime map wins

642nuke
604inferno
597vertigo
323dust2
216office
91train
23lake
18cbble

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.

13.3%Headshot accuracy
32.3%Accuracy (enemy spotted)
29.4%Spray accuracy
60.9%Counter-strafing
10.3°Preaim
589msReaction time
33.7%T opening success
32.3%CT opening success
0.28Enemies flashed / flash
0.0%Flash assists
9.63HE damage / grenade
0.55Flashes / 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 13.2899% — 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 0.2809 — 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 33.7292% — below the 40% mark we flag

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
cache5–13-0.0416%1 Sept →
nuke5–13-0.113%1 Sept →
anubis13–60.0042%15 Jun →
anubis8–13-0.0028%4 Jun →
cache13–8-0.035%29 Apr →
ancient10–130.015%19 Apr →
dust24–13-0.074%19 Apr →
anubis9–13-0.0214%1 Apr →
inferno5–9-0.000%28 Mar →
vertigo9–10.203%28 Mar →
nuke8–8-0.0216%19 Mar →
poseidon2–9-0.258%19 Mar →
inferno9–50.1011%19 Mar →
nuke9–60.0624%17 Mar →
inferno9–50.0414%17 Mar →
vertigo9–20.106%17 Mar →
nuke8–13-0.0911%11 Mar →
office12–12-0.059%10 Mar →
office7–130.0715%2 Mar →
dust213–5-0.079%2 Mar →
ancient9–130.0013%18 Feb →
nuke13–9-0.038%18 Feb →
vertigo13–6-0.0817%11 Feb →
ancient1–13-0.0514%11 Feb →
dust26–13-0.026%6 Feb →
nuke13–6-0.0425%6 Feb →
inferno4–13-0.0811%6 Feb →
alpine10–130.0317%6 Feb →
dust211–130.0124%6 Feb →
overpass14–16-0.0110%5 Feb →
inferno16–14-0.0312%1 Feb →
ancient13–11-0.047%31 Jan →
rooftop7–9-0.029%28 Dec →
inferno8–80.0415%28 Dec →
office4–13-0.117%28 Nov →
overpass13–8-0.0124%28 Nov →
mirage13–9-0.0415%2 Nov →
mirage13–40.0316%2 Nov →
rooftop5–9-0.0319%26 Oct →
nuke3–9-0.0222%26 Oct →
train13–4-0.0012%24 Oct →
overpass11–13-0.053%23 Oct →
mirage13–9-0.016%23 Oct →
inferno9–13-0.089%22 Oct →
mirage13–50.0423%22 Oct →
nuke11–13-0.0415%22 Oct →
train8–13-0.0423%9 Oct →
office8–13-0.0711%9 Oct →
overpass5–1-0.0113%4 Oct →
palacio3–13-0.140%4 Oct →
golden0–13-0.110%4 Oct →
inferno15–15-0.0623%25 Sept →
overpass13–70.0418%23 Sept →
mirage7–130.009%23 Sept →
brewery4–9-0.1713%23 Sept →
grail1–8-0.0111%23 Sept →
italy1–13-0.045%23 Sept →
anubis4–13-0.026%23 Sept →
vertigo10–13-0.0511%22 Sept →
mirage16–14-0.048%22 Sept →
ancient9–130.0013%21 Sept →
nuke6–13-0.066%21 Sept →
nuke13–4-0.0114%21 Sept →
ancient8–13-0.0116%19 Sept →
train10–13-0.0411%19 Sept →
nuke10–13-0.0811%12 Sept →
agency6–2-0.1350%12 Sept →
inferno10–13-0.0412%12 Sept →
nuke13–10-0.0615%11 Sept →
nuke6–13-0.047%11 Sept →
dust212–12-0.0410%11 Sept →
inferno12–12-0.036%11 Sept →
ancient13–3-0.0217%10 Sept →
inferno11–3-0.045%10 Sept →
brewery9–5-0.0621%31 Aug →
overpass9–13-0.033%18 Aug →
train13–50.0318%18 Aug →
jura13–100.0622%18 Aug →
overpass9–13-0.0215%17 Aug →
inferno13–6-0.017%16 Aug →
jura1–8-0.047%16 Aug →
train1–13-0.060%16 Aug →
nuke13–5-0.050%15 Aug →
grail13–7-0.0313%15 Aug →
overpass13–11-0.0113%15 Aug →
inferno13–7-0.0511%13 Aug →
ancient13–8-0.017%13 Aug →
ancient13–5-0.039%13 Aug →
agency13–11-0.036%12 Aug →
nuke11–13-0.0410%12 Aug →
overpass6–13-0.0619%12 Aug →
anubis4–13-0.0322%11 Jul →
mirage4–13-0.0610%11 Jul →
jura2–13-0.069%11 Jul →
dust213–60.0214%16 Apr →
nuke6–13-0.0611%15 Oct →
nuke8–13-0.0816%3 Oct →
italy13–10-0.0221%3 Oct →
nuke12–12-0.0013%23 Sept →
overpass4–13-0.080%23 Sept →

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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