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Tiananmen^2

Tiananmen^2 — CS2 Stats

IR76561198928918996[U:1:968653268]Steam profile ↗

538Tracked matches33%Win rate2022Tracked since
CSDB Rating3.8 LearningSupport
Ladder ranks via Leetify

Performance scores

Aim42
Positioning32
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY39–58–3Last 10039%Win rateLWWLLWLLLW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim4.2
Aggression3.1
Utility7.4
Positioning3.2
Opening Duels0.3

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

NiKo

Plays most like NiKo 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 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

Aim4.2
Positioning3.2
Utility7.4
Mechanics4.7
Opening Duels0.8
Win Impact0.0

Composite 3.8/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time657ms−43ms
first ⅓ avg 700ms → last ⅓ avg 657ms
Headshot accuracy14.0%−2.1%
first ⅓ avg 16.1% → last ⅓ avg 14.0%

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

0.21Best rating — ancient 13–2
13–2Biggest win — nuke
5Longest win streak
3–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 63% over 16cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
ancientB1910–953%-0.01
mirageC177–1041%-0.02
dust2A1610–663%-0.01
nukeD124–833%0.00
anubisD102–820%-0.03
overpassD102–820%-0.01
cacheD81–713%-0.05
infernoD62–433%-0.03
train—21–150%-0.05

Across the last 100 tracked matches.

Skill profile

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

14.3%Headshot accuracy
33.2%Accuracy (enemy spotted)
34.5%Spray accuracy
71.1%Counter-strafing
11.7°Preaim
647msReaction time
25.6%T opening success
36.4%CT opening success
0.59Enemies flashed / flash
9.8%Flash assists
9.42HE damage / grenade
14.45Flashes / 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 14.2525% — 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 25.6434% — below the 40% mark we flag

Spend your practice time on Cache

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0515%16 Aug →
mirage13–10-0.0512%13 Aug →
dust213–10-0.0417%13 Aug →
cache4–13-0.0519%13 Aug →
ancient9–13-0.0514%6 Aug →
ancient13–40.1212%6 Aug →
mirage8–13-0.0211%29 Jul →
anubis11–130.108%29 Jul →
nuke1–13-0.0513%29 Jul →
dust213–6-0.0211%17 Jul →
cache6–13-0.1118%16 Jul →
anubis8–13-0.0519%16 Jul →
mirage13–7-0.0014%15 Jul →
ancient1–13-0.0919%11 Jul →
cache10–13-0.0119%11 Jul →
mirage1–130.0211%11 Jul →
cache4–13-0.0817%9 Jul →
cache11–130.0112%9 Jul →
mirage8–13-0.0413%8 Jul →
dust21–13-0.0318%8 Jul →
anubis7–13-0.0322%6 Jul →
ancient8–130.0414%2 Jul →
anubis6–13-0.049%2 Jul →
ancient14–16-0.0713%25 Jun →
anubis14–16-0.0714%25 Jun →
dust216–120.0613%16 Jun →
ancient13–90.0415%16 Jun →
ancient13–11-0.0313%12 Jun →
anubis13–5-0.099%12 Jun →
dust213–8-0.0122%12 Jun →
mirage3–130.018%12 Jun →
dust29–13-0.0417%10 Jun →
overpass6–13-0.027%10 Jun →
dust211–13-0.0210%4 Jun →
inferno13–60.0811%4 Jun →
ancient7–13-0.085%3 Jun →
nuke13–90.0413%1 Jun →
inferno0–13-0.0817%1 Jun →
ancient13–7-0.0011%1 Jun →
nuke6–13-0.039%31 May →
overpass2–13-0.0325%25 May →
overpass13–11-0.043%15 May →
anubis9–13-0.0914%15 May →
nuke13–20.0412%15 May →
overpass3–13-0.0114%11 May →
nuke13–30.076%10 May →
cache9–13-0.0824%29 Apr →
cache13–7-0.0312%29 Apr →
ancient13–10-0.0710%29 Apr →
cache10–13-0.0510%29 Apr →
mirage10–13-0.0319%27 Apr →
dust29–13-0.076%27 Apr →
mirage13–30.0718%27 Apr →
nuke11–130.0310%27 Apr →
anubis7–130.017%18 Apr →
mirage4–13-0.0510%18 Apr →
ancient13–60.0114%15 Apr →
ancient4–13-0.119%15 Apr →
dust29–13-0.0419%9 Apr →
inferno9–13-0.0811%8 Apr →
anubis7–13-0.0710%7 Apr →
dust213–7-0.019%7 Apr →
dust213–10-0.046%6 Apr →
anubis13–50.0113%29 Mar →
overpass9–13-0.0318%26 Mar →
ancient15–150.0318%26 Mar →
overpass13–50.0417%23 Mar →
ancient13–6-0.0014%23 Mar →
dust28–130.0016%18 Mar →
inferno10–13-0.024%12 Mar →
ancient13–20.2119%12 Mar →
dust213–60.1211%12 Mar →
nuke8–13-0.0617%24 Dec →
dust213–10-0.0417%22 Dec →
ancient4–13-0.0326%15 Dec →
overpass10–13-0.0317%15 Dec →
mirage11–13-0.0216%15 Dec →
mirage13–9-0.0621%15 Dec →
ancient13–40.0315%30 Nov →
overpass7–130.0015%16 Nov →
dust213–7-0.0428%15 Nov →
mirage3–13-0.0315%14 Nov →
nuke10–13-0.0419%13 Nov →
ancient8–13-0.0320%6 Nov →
mirage8–130.0310%6 Nov →
nuke13–2-0.0111%19 Oct →
overpass15–15-0.0214%19 Oct →
train2–13-0.0714%17 Oct →
nuke1–13-0.0514%17 Oct →
mirage13–9-0.0123%13 Oct →
inferno11–13-0.0215%11 Oct →
train13–11-0.0315%2 Oct →
ancient13–8-0.0718%2 Oct →
mirage11–13-0.0631%28 Sept →
inferno13–8-0.0918%24 Sept →
mirage13–5-0.079%14 Sept →
mirage13–7-0.035%14 Sept →
dust216–13-0.0216%12 Sept →
nuke8–130.0413%11 Sept →
overpass15–15-0.0117%9 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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