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Throw me on your back

Throw me on your back — CS2 Stats

PK76561198994703231[U:1:1034437503]Steam profile ↗

1,478Tracked matches79%Win rate2020Tracked since
747Hours in CS
CSDB Rating7.1 StrongEntry Fragger
Ladder ranks via Leetify

Performance scores

Aim79
Positioning65
Utility30

0–100 skill scores via Leetify.

Recent form

HOT68–27–5Last 10068%Win rateLWWLWWWWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim7.9
Aggression10.0
Utility3.0
Positioning6.5
Opening Duels7.2

Excellent counter-strafingLimited 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

s1mple

Plays most like s1mple 87% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 66% 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.

Reaction time. 631ms 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

Aim7.9
Positioning6.5
Utility3.0
Mechanics8.5
Opening Duels7.2
Win Impact10.0

Composite 7.1/10 (Strong), 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 rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time638ms−39ms
first ⅓ avg 676ms → last ⅓ avg 638ms
Headshot accuracy25.0%+1.1%
first ⅓ avg 23.9% → last ⅓ avg 25.0%

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.

Highlights

0.29Best rating — inferno 9–2
13–0Biggest win — dust2
8Longest win streak
13–8In matches decided by ≤2 rounds
18Overtime games

Map breakdown

ancientBest map · 88% over 8infernoWeakest map · 62% over 26
MapGradePlayedRecordWin rateAvg rating
mirageS3120–1165%0.04
infernoA2616–1062%0.05
dust2S2316–770%0.03
ancientS87–188%0.04
nukeS54–180%0.04
anubis—32–167%-0.01
overpass—22–0100%0.10
train—21–150%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (62% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,530Lifetime kills
1.46K/D · Top 5% of tracked players
2,533Matches
60.2%Match win rate · Top 5% of tracked players
52.8%Headshot % · Top 25% of tracked players
7.5%Shot accuracy
8,652MVPs
747Hours (in match)
1,714Bombs planted
493Bombs defused

Most-used weapons

AK-4716,043
M4A4 / M4A1-S6,565
AWP5,093
Desert Eagle3,212
SSG 082,896
P2000 / USP-S2,223
Glock-181,429
P2501,310
Galil AR904
Nova677

Lifetime map wins

11,130inferno
5,285dust2
858vertigo
664nuke
295train
219office
100italy
100aztec

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.

25.0%Headshot accuracy
35.7%Accuracy (enemy spotted)
30.8%Spray accuracy
88.4%Counter-strafing
8.8°Preaim
631msReaction time
51.7%T opening success
65.9%CT opening success
0.59Enemies flashed / flash
10.0%Flash assists
5.75HE damage / grenade
4.95Flashes / match

Recent matches

MapScoreRatingHS%Date
dust211–130.0132%20 Mar →
dust213–10.2243%19 Mar →
ancient13–10-0.0115%18 Mar →
nuke13–16-0.0630%16 Mar →
mirage13–30.0630%16 Mar →
ancient13–10.1230%16 Mar →
mirage13–20.0418%15 Mar →
dust213–100.0829%15 Mar →
inferno13–30.1819%15 Mar →
mirage13–30.0226%15 Mar →
mirage13–40.0424%13 Sept →
dust211–130.0829%13 Sept →
inferno13–90.0523%12 Sept →
inferno13–5-0.0523%12 Sept →
overpass13–110.1339%12 Sept →
nuke13–80.0520%12 Sept →
inferno15–150.0226%11 Sept →
dust27–130.0524%11 Sept →
mirage13–50.0913%11 Sept →
inferno16–14-0.0027%11 Sept →
ancient13–60.0215%11 Sept →
mirage9–130.0529%11 Sept →
dust213–110.0135%10 Sept →
overpass13–100.0723%10 Sept →
mirage13–20.0513%10 Sept →
mirage7–13-0.0212%9 Sept →
inferno13–80.0822%9 Sept →
mirage13–60.0129%9 Sept →
mirage13–10.0614%8 Sept →
inferno7–9-0.0822%8 Sept →
inferno13–100.0527%5 Sept →
inferno6–9-0.1339%4 Sept →
inferno11–130.0227%1 Aug →
inferno9–20.2933%28 Jul →
inferno9–50.1532%27 Jul →
mirage11–130.0728%24 Jul →
ancient6–130.0722%23 Jul →
dust213–30.1827%23 Jul →
inferno13–60.2031%23 Jul →
mirage13–100.1143%23 Jul →
mirage13–50.0412%21 Jul →
mirage13–110.0740%21 Jul →
dust213–90.0537%14 Jul →
inferno13–60.2133%14 Jul →
ancient13–90.0527%9 Jul →
mirage15–150.0827%8 Jul →
mirage13–90.0858%8 Jul →
inferno4–00.1660%8 Jul →
mirage13–30.1039%7 Jul →
nuke13–20.2337%7 Jul →
dust212–50.0349%7 Jul →
inferno13–110.1446%6 Jul →
inferno13–30.1541%2 Jul →
dust25–13-0.0310%2 Jul →
mirage13–100.0832%1 Jul →
train13–90.0655%30 Jun →
mirage13–110.0729%30 Jun →
inferno11–13-0.0523%27 Jun →
mirage13–110.0019%27 Jun →
dust215–150.0135%27 Jun →
dust213–100.0320%26 Jun →
dust213–100.0416%26 Jun →
inferno2–9-0.1560%26 Jun →
dust29–13-0.0429%26 Jun →
dust213–10-0.0121%26 Jun →
nuke13–9-0.0523%26 Jun →
dust212–16-0.0330%26 Jun →
mirage16–14-0.0130%24 Jun →
dust216–14-0.0130%24 Jun →
inferno4–13-0.0217%24 Jun →
mirage13–50.0826%24 Jun →
mirage13–100.0129%23 Jun →
nuke13–90.0025%23 Jun →
dust213–5-0.0240%23 Jun →
anubis13–7-0.0511%23 Jun →
mirage15–15-0.0513%23 Jun →
train15–15-0.0213%22 Jun →
anubis9–130.0323%22 Jun →
ancient13–90.0324%22 Jun →
inferno13–40.0727%22 Jun →
dust213–80.0122%22 Jun →
inferno9–50.1045%22 Jun →
dust213–30.0620%21 Jun →
mirage12–16-0.0225%21 Jun →
inferno13–160.0117%21 Jun →
mirage13–160.0625%20 Jun →
dust213–11-0.0127%20 Jun →
mirage7–130.0316%20 Jun →
mirage14–160.0721%20 Jun →
mirage9–130.019%18 Jun →
ancient16–140.0319%18 Jun →
dust213–0-0.0140%17 Jun →
mirage13–70.0329%17 Jun →
anubis13–50.0135%17 Jun →
mirage14–160.0018%17 Jun →
inferno13–9-0.0118%17 Jun →
inferno5–9-0.1314%17 Jun →
dust216–14-0.0127%16 Jun →
inferno7–13-0.0329%16 Jun →
ancient16–14-0.0126%16 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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