reactionary

reactionary — CS2 Stats

US76561198060550448[U:1:100284720]Steam profile ↗✓ No bans

355Tracked matches41%Win rate2025Tracked since
CSDB Rating4.8 Developing
Premier CS Rating13,708Blue band · top ~35.2% of ranked players (population est.)
CSDB Leaderboard#12918 of 19115 tracked
Ladder ranks via Leetify

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CSDB.GGreactionaryPREMIER13,708 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning50
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50455Last 10050%Win rateLLWLWLWWWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim5.8
Aggression6.8
Utility4.7
Positioning5.0
Opening Duels3.2

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

ropz

Plays most like ropz 85% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 660ms 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

Aim5.8
Positioning5.0
Utility4.7
Mechanics7.3
Opening Duels3.2
Win Impact2.1

Composite 4.8/10 (Developing), 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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time661ms−65ms
first ⅓ avg 726ms → last ⅓ avg 661ms
Headshot accuracy12.1%−4.9%
first ⅓ avg 17.1% → last ⅓ avg 12.1%

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.

Highlights

0.19Best rating — cache 13–3
131Biggest win — ancient
7Longest win streak
L2Current streak
78In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 67% over 6nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheB23111248%0.03
ancientB1991047%-0.01
dust2A1710759%-0.00
anubisC167944%0.03
mirageB84450%-0.00
nukeD62433%-0.02
infernoS64267%-0.01
overpass43175%0.03
train1010%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

12.4%Headshot accuracy
37.4%Accuracy (enemy spotted)
38.3%Spray accuracy
82.8%Counter-strafing
11.3°Preaim
660msReaction time
37.7%T opening success
47.6%CT opening success
0.52Enemies flashed / flash
5.4%Flash assists
7.11HE damage / grenade
6.72Flashes / 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 12.3898% — below the 15% mark we flag

    Aim Training
  2. 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 37.7261% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0014%19 Aug
nuke9–130.0616%19 Aug
inferno13–50.0221%19 Aug
anubis7–130.028%19 Aug
dust213–10-0.017%12 Aug
dust210–130.0116%12 Aug
cache13–110.056%10 Aug
inferno13–80.0319%10 Aug
cache16–12-0.0113%10 Aug
dust211–13-0.0710%9 Aug
mirage10–130.0518%9 Aug
ancient13–60.0312%7 Aug
cache6–13-0.0214%7 Aug
dust25–13-0.0416%7 Aug
nuke5–13-0.0513%7 Aug
anubis14–160.0111%7 Aug
anubis13–110.1216%7 Aug
ancient13–10.0617%6 Aug
overpass4–120.0413%6 Aug
nuke3–13-0.073%6 Aug
anubis11–130.0810%6 Aug
mirage15–15-0.0012%1 Aug
ancient13–90.0521%1 Aug
anubis8–13-0.0114%1 Aug
ancient4–13-0.085%1 Aug
cache12–160.004%1 Aug
mirage13–80.0514%1 Aug
cache13–50.0316%1 Aug
nuke13–11-0.046%1 Aug
dust29–13-0.0110%1 Aug
cache9–13-0.0412%1 Aug
ancient13–3-0.080%26 Jul
dust216–13-0.0413%26 Jul
anubis8–13-0.048%26 Jul
ancient7–13-0.025%26 Jul
cache13–11-0.0618%26 Jul
mirage16–14-0.0110%26 Jul
inferno8–130.0321%26 Jul
cache7–13-0.045%26 Jul
dust213–30.0120%24 Jul
dust24–13-0.0519%24 Jul
ancient6–13-0.0614%24 Jul
ancient5–13-0.0113%24 Jul
mirage8–13-0.0421%24 Jul
ancient13–100.039%22 Jul
cache12–160.0714%22 Jul
anubis13–70.0413%16 Jul
cache13–40.0618%16 Jul
dust213–160.0213%16 Jul
dust213–7-0.009%14 Jul
inferno13–9-0.0620%10 Jul
ancient11–130.0411%10 Jul
anubis7–130.019%10 Jul
dust211–13-0.0315%10 Jul
cache5–13-0.0621%10 Jul
cache11–13-0.0219%8 Jul
cache6–13-0.0317%8 Jul
mirage13–6-0.018%8 Jul
cache12–120.0211%8 Jul
dust213–3-0.0114%8 Jul
cache6–130.0919%1 Jul
dust213–90.0014%19 Jun
overpass13–7-0.0218%19 Jun
overpass13–100.0418%19 Jun
cache11–50.1318%17 Jun
ancient7–13-0.0415%17 Jun
anubis13–100.089%17 Jun
nuke13–4-0.0020%17 Jun
cache13–30.1928%17 Jun
dust213–50.0720%17 Jun
ancient13–5-0.0321%7 Jun
dust213–100.0719%7 Jun
dust213–100.0718%7 Jun
anubis8–13-0.0617%7 Jun
mirage0–13-0.083%7 Jun
anubis13–20.030%7 Jun
anubis15–15-0.0112%7 Jun
nuke3–13-0.0214%7 Jun
ancient13–30.0223%5 Jun
ancient13–90.0217%5 Jun
ancient13–20.0715%5 Jun
cache13–50.0924%30 May
cache5–13-0.0220%30 May
train12–12-0.0113%30 May
mirage13–110.0327%29 May
anubis11–13-0.077%29 May
cache13–40.0131%29 May
anubis13–30.169%29 May
anubis13–110.0922%27 May
ancient8–13-0.0122%27 May
overpass13–50.0713%27 May
ancient11–13-0.0714%27 May
cache6–130.0523%21 May
cache13–50.1119%21 May
ancient12–12-0.0114%21 May
anubis13–70.0216%20 May
inferno8–13-0.058%20 May
inferno13–9-0.0025%20 May
dust213–2-0.0511%20 May
cache13–20.0821%20 May

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 →