▲pk backthrow▽

▲pk backthrow▽ — CS2 Stats

US76561198141682247[U:1:181416519]Steam profile ↗✓ No bans

872Tracked matches62%Win rate2020Tracked since
2,441Hours in CS
CSDB Rating4.1 DevelopingSupport
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 872 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,352 +2,769 9 May – 10 Jul · 17 days played
13,58317,533peak 17,5339 May10 Jul
17,764Peak Premier in tracked matches
44Days played since 2025-05-09

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

Performance scores

Aim34
Positioning33
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY58–41–1Last 10058%Win rateWWLWTWLWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.1pp headshot accuracy · −19ms reaction

Win rate 0pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 627ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 653ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 663ms

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: Support — Utility contribution stands above the rest of this profile (+3.3 against its own average).

Aim3.4
Utility5.5
Positioning3.3
Opening Duels0.0
Clutch0.0

Effective flashes

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

Twistzz

Plays most like Twistzz 71% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Flashes. 0.89 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 647ms 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

Aim3.4
Positioning3.3
Utility5.5
Mechanics4.9
Opening Duels0.0
Win Impact9.0

Composite 4.1/10 (Developing), 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-0.06−0.03
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time634ms−13ms
first ⅓ avg 647ms → last ⅓ avg 634ms
Headshot accuracy11.7%−2.1%
first ⅓ avg 13.8% → last ⅓ avg 11.7%

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

0.05Best match rating · 13–2 · mirage, 9 May →
67%Best headshot accuracy · 9–3 · inferno, 21 May →
422msFastest reaction time · 9–3 · inferno, 21 May →
13–2Biggest win · mirage, 9 May →

Across the last 100 tracked matches.

Highlights

14Longest win streak
W2Current streak
9–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 76% over 34ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS3426–876%-0.04
dust2B199–1047%-0.03
infernoA1811–761%-0.07
anubisC125–742%-0.04
ancientD71–614%-0.06
trainS64–267%-0.06
nuke—21–150%-0.09
cache—11–0100%-0.08
vertigo—10–10%-0.28

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,178Lifetime kills
0.79K/D
5,097Matches
40.4%Match win rate
27.1%Headshot %
15.6%Shot accuracy · Top 25% of tracked players
9,464MVPs
2,441Hours (in match)
7,909Bombs planted
1,158Bombs defused

Most-used weapons

AWP15,699
AK-4714,848
Nova3,984
P2502,822
Knife2,139
Tec-92,094

Lifetime map wins

23,410dust2
4,252inferno
1,110cbble
631nuke
564train
525vertigo
296office
253lake

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

Faceit stats

Combat

85Matches
52%Win rate
0.65Avg K/D
56.7ADR
30%Headshot %

Clutches & streaks

15%1v1 clutch win
5%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1457%0.6510.6
Anubis1040%0.6112.6
Dust2944%0.7310.8
Ancient50%0.397.6
Nuke333%0.488.3
Train333%0.427.3
Inferno250%0.609.5
Cache1100%0.294.0

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.

12.5%Headshot accuracy
27.0%Accuracy (enemy spotted)
27.2%Spray accuracy
72.0%Counter-strafing
8.8°Preaim
647msReaction time
16.6%T opening success
30.0%CT opening success
0.89Enemies flashed / flash
10.3%Flash assists
12.47HE damage / grenade
6.69Flashes / 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 12.5121% — 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 16.6146% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–3-0.035%2 Aug →
mirage13–9-0.049%2 Aug →
mirage9–13-0.0513%19 Jul →
cache13–5-0.089%25 May →
dust215–15-0.0711%15 Apr →
mirage13–11-0.0510%12 Apr →
dust211–13-0.038%12 Apr →
mirage16–13-0.0717%31 Mar →
mirage8–13-0.140%2 Mar →
mirage13–7-0.0618%2 Feb →
mirage13–11-0.0517%2 Feb →
ancient7–13-0.118%31 Jan →
inferno13–6-0.0614%31 Jan →
mirage7–13-0.0715%23 Jan →
dust25–13-0.0326%23 Jan →
dust213–3-0.047%23 Jan →
mirage13–7-0.006%22 Jan →
ancient9–13-0.089%2 Nov →
mirage13–6-0.0210%2 Nov →
dust213–8-0.0019%2 Nov →
mirage9–30.0013%2 Nov →
inferno10–13-0.0612%14 Aug →
dust216–14-0.0120%30 Jul →
train13–6-0.0411%28 Jul →
mirage9–13-0.0617%26 Jul →
inferno13–9-0.0610%19 Jul →
inferno0–9-0.330%18 Jul →
vertigo1–9-0.2810%18 Jul →
inferno9–7-0.037%18 Jul →
inferno9–13-0.0313%11 Jul →
dust213–7-0.0420%10 Jul →
dust213–16-0.0713%2 Jul →
inferno13–5-0.0311%26 Jun →
anubis11–130.028%26 Jun →
mirage1–13-0.0823%26 Jun →
dust29–13-0.034%26 Jun →
mirage13–8-0.0722%22 Jun →
dust213–8-0.059%20 Jun →
anubis13–8-0.057%20 Jun →
mirage13–110.0116%14 Jun →
anubis10–13-0.076%14 Jun →
dust213–70.024%9 Jun →
dust27–13-0.0321%9 Jun →
train13–7-0.115%9 Jun →
mirage6–13-0.080%8 Jun →
train7–13-0.125%31 May →
dust213–16-0.069%31 May →
inferno13–8-0.0111%29 May →
mirage13–10-0.013%29 May →
anubis7–13-0.070%28 May →
nuke3–13-0.126%28 May →
anubis16–13-0.0010%27 May →
ancient11–13-0.043%27 May →
mirage9–13-0.076%27 May →
ancient11–13-0.0613%27 May →
anubis6–13-0.0316%27 May →
dust213–90.0117%27 May →
train11–13-0.0716%26 May →
nuke13–11-0.0612%26 May →
dust210–13-0.0830%26 May →
anubis22–18-0.0519%25 May →
inferno13–8-0.039%25 May →
dust213–110.0215%25 May →
ancient14–16-0.0714%25 May →
train13–10-0.039%25 May →
mirage6–13-0.0811%25 May →
anubis4–13-0.0510%25 May →
mirage13–80.055%25 May →
mirage13–9-0.0511%24 May →
inferno10–13-0.036%24 May →
anubis14–16-0.0711%24 May →
dust216–14-0.0620%24 May →
ancient6–13-0.0417%24 May →
inferno13–5-0.0318%23 May →
mirage13–8-0.0718%23 May →
mirage13–5-0.0429%23 May →
inferno9–7-0.037%21 May →
inferno9–3-0.0867%21 May →
anubis13–7-0.0810%21 May →
mirage13–10-0.073%20 May →
mirage13–6-0.0319%20 May →
mirage13–8-0.0318%20 May →
ancient13–7-0.016%20 May →
anubis13–8-0.0113%20 May →
inferno13–8-0.0020%18 May →
mirage13–40.0114%18 May →
mirage13–100.0118%17 May →
anubis15–19-0.0513%16 May →
mirage13–8-0.009%16 May →
mirage12–7-0.0319%15 May →
inferno7–13-0.099%15 May →
inferno1–13-0.165%14 May →
train13–80.0413%13 May →
mirage13–9-0.036%13 May →
dust22–13-0.104%13 May →
inferno13–9-0.036%13 May →
dust211–130.0320%13 May →
mirage13–20.056%9 May →
inferno8–13-0.098%9 May →
mirage13–8-0.0610%9 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches14-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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