getting backshot — CS2 Stats

76561198057472831[U:1:97207103]✓ No bans

208Tracked matches50%Win rate2020Tracked since
648Hours in CS
CSDB Rating6.5 SolidAggressive Rifler
Premier CS Rating17,245Purple band · top ~19.5% of ranked players (population est.)
CSDB Leaderboard#10024 of 17589 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianvs Pink band
Headshot rate51.8%48.1%above
Shot accuracy14.1%12.9%above
Kill/death ratio0.711.080.37 short
Match win rate48.5%46.5%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim82
Positioning59
Utility45

0–100 skill scores via Leetify.

Recent form

COLD51436Last 10051%Win rateLLLWLLWWLL

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.2
Aggression9.6
Utility4.5
Positioning5.9
Opening Duels5.2
Clutch1.0

Strong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; higher opening-fight frequency.

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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 61% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim8.2
Positioning5.9
Utility4.5
Mechanics7.6
Opening Duels5.2
Win Impact5.0

Composite 6.5/10 (Solid), 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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time632ms+6ms
first ⅓ avg 626ms → last ⅓ avg 632ms
Headshot accuracy26.5%+1.1%
first ⅓ avg 25.4% → last ⅓ avg 26.5%

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

0.20Best rating — cache 2–0
131Biggest win — nuke
6Longest win streak
L3Current streak
107In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 15ancientWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B26121446%0.04
cacheB25121348%0.04
infernoS1510567%0.04
nukeB115645%0.07
ancientC94544%0.03
anubisA95456%0.03
mirage21150%0.04
overpass220100%0.13
vertigo1010%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,842Lifetime kills
0.71K/D
2,096Matches
48.5%Match win rate · Top 50% of tracked players
51.8%Headshot % · Top 50% of tracked players
14.1%Shot accuracy · Top 50% of tracked players
3,030MVPs
648Hours (in match)
742Bombs planted
315Bombs defused

Most-used weapons

Lifetime map wins

5,601dust2
1,427inferno
959nuke
297train
149stmarc
101cbble
94lake
75vertigo

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

53Matches
60%Win rate
1.43Avg K/D
84.6ADR
54%Headshot %

Clutches & streaks

25%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust2650%0.9513.7
Mirage580%1.1518.6
Nuke2100%1.5024.0
Inferno1100%1.1011.0

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.

27.7%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.1%Spray accuracy
84.0%Counter-strafing
8.2°Preaim
626msReaction time
40.1%T opening success
61.1%CT opening success
0.44Enemies flashed / flash
7.1%Flash assists
10.57HE damage / grenade
3.59Flashes / 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 0.4382 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient5–130.0326%28 Aug
inferno7–130.0530%28 Aug
ancient10–130.0819%28 Aug
cache13–40.0528%28 Aug
cache9–13-0.0217%27 Aug
cache2–7-0.140%27 Aug
anubis13–110.0331%26 Aug
dust213–30.0129%25 Aug
dust26–130.0037%25 Aug
cache3–13-0.0418%24 Aug
dust213–100.1028%24 Aug
inferno13–100.0422%23 Aug
dust213–70.1024%23 Aug
nuke11–130.1027%23 Aug
nuke13–80.1130%22 Aug
cache13–80.0222%22 Aug
dust28–13-0.0129%16 Aug
inferno13–5-0.0326%16 Aug
cache16–130.1038%15 Aug
cache3–130.0621%15 Aug
cache13–70.0919%10 Aug
ancient12–120.0437%9 Aug
dust26–130.0539%7 Aug
anubis12–120.0525%7 Aug
dust22–13-0.0426%6 Aug
nuke9–130.0527%6 Aug
ancient13–9-0.0523%5 Aug
dust213–5-0.0036%2 Aug
inferno13–50.0348%2 Aug
anubis8–13-0.0223%2 Aug
dust215–150.1225%2 Aug
inferno13–80.0216%1 Aug
dust211–130.0128%1 Aug
cache9–130.0116%1 Aug
cache13–50.0634%1 Aug
vertigo4–13-0.0622%31 Jul
dust212–12-0.0032%31 Jul
dust213–110.0025%27 Jul
nuke10–130.0124%27 Jul
dust212–160.0930%27 Jul
dust28–130.0226%26 Jul
inferno13–6-0.0314%26 Jul
dust214–16-0.0228%26 Jul
cache13–90.0730%26 Jul
inferno13–9-0.0218%25 Jul
nuke13–110.1124%25 Jul
mirage13–110.0321%25 Jul
nuke13–10.0820%25 Jul
dust213–90.0522%24 Jul
anubis11–130.0528%24 Jul
nuke8–130.0415%24 Jul
dust213–90.1727%23 Jul
mirage4–130.0517%22 Jul
inferno2–50.1723%22 Jul
cache13–80.0324%21 Jul
dust26–130.0330%21 Jul
nuke16–130.0325%21 Jul
cache13–90.0513%20 Jul
dust213–110.1031%14 Jul
inferno11–130.0233%14 Jul
cache10–13-0.0215%11 Jul
anubis16–12-0.0316%11 Jul
cache11–130.0519%11 Jul
anubis13–90.0721%11 Jul
inferno13–110.0724%11 Jul
cache1–60.0852%11 Jul
cache4–130.0228%11 Jul
cache13–2-0.0127%10 Jul
ancient10–13-0.0628%10 Jul
nuke15–150.0522%10 Jul
cache13–90.1128%10 Jul
inferno13–80.1529%10 Jul
dust213–110.0724%9 Jul
inferno9–130.0535%9 Jul
ancient9–130.0529%2 Jul
cache7–130.0016%2 Jul
inferno10–3-0.0213%28 Jun
ancient13–70.0320%28 Jun
ancient13–10.0636%28 Jun
ancient13–40.0730%28 Jun
cache7–130.0417%21 Jun
dust28–130.0123%21 Jun
anubis13–70.0426%21 Jun
dust213–110.0320%21 Jun
dust213–90.0521%21 Jun
inferno11–130.0120%20 Jun
nuke15–150.0323%20 Jun
anubis13–100.0919%20 Jun
overpass13–60.1024%20 Jun
nuke13–90.1117%18 Jun
inferno13–50.1128%18 Jun
anubis10–13-0.0430%17 Jun
overpass13–40.1634%17 Jun
cache5–13-0.0321%28 May
cache2–00.2063%28 May
dust210–130.0424%27 May
dust29–130.1220%18 May
dust213–110.0226%18 May
cache6–130.1323%18 May
cache13–100.0224%17 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 →