.transcend

.transcend — CS2 Stats

CA76561198026395780[U:1:66130052]Steam profile ↗✓ No bans

123Tracked matches81%Win rate2026Tracked since
CSDB Rating8.0 StrongAll-Rounder
Ladder ranks via Leetify

Performance scores

Aim88
Positioning74
Utility70

0–100 skill scores via Leetify.

Recent form

HOT70–25–5Last 10070%Win rateWWTWWWWWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +2.1pp headshot accuracy · +19ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–0–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

Last 10

  • 9–0–1 · 90% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 22%
  • Avg reaction 555ms

Last 20

  • 16–1–3 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 545ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.8
Utility7.0
Positioning7.4
Opening Duels6.1

Sharp aimerEffective 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

jL

Plays most like jL 91% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

T openings. 62% T opening-duel success — entries that actually open the round.

Flashes. 0.86 enemies blinded per flash — utility that consistently lands.

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

Aim8.8
Positioning7.4
Utility7.0
Mechanics7.4
Opening Duels7.4
Win Impact10.0

Composite 8.0/10 (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 rating0.05−0.03
first ⅓ avg 0.08 → last ⅓ avg 0.05
Reaction time558ms−63ms
first ⅓ avg 620ms → last ⅓ avg 558ms
Headshot accuracy21.5%−2.5%
first ⅓ avg 24.0% → last ⅓ avg 21.5%

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.

Personal bests

0.29Best match rating · 13–3 · cache, 1 Jul →
50%Best headshot accuracy · 6–0 · cache, 10 Aug →
398msFastest reaction time · 0–6 · cache, 6 Oct →
13–0Biggest win · office, 11 Oct →

Across the last 100 tracked matches.

Highlights

12Longest win streak
W2Current streak
7–2In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 100% over 6cacheWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2S3222–1069%0.07
nukeS1511–473%0.09
mirageA159–660%0.07
infernoS1310–377%0.04
cacheC94–544%0.05
trainS66–0100%0.10
vertigo—43–175%0.05
ancient—32–167%0.02
anubis—22–0100%0.05
office—11–0100%0.07

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.

21.0%Headshot accuracy
40.1%Accuracy (enemy spotted)
38.9%Spray accuracy
83.4%Counter-strafing
8.1°Preaim
547msReaction time
62.0%T opening success
57.1%CT opening success
0.86Enemies flashed / flash
17.3%Flash assists
13.40HE damage / grenade
5.81Flashes / match

Recommended for you

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.

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0422%16 Oct →
nuke13–20.0319%16 Oct →
dust212–120.0325%16 Oct →
nuke13–80.049%15 Oct →
inferno13–40.0830%15 Oct →
mirage13–100.1020%13 Oct →
train13–30.0935%12 Oct →
dust213–40.0422%12 Oct →
nuke13–40.0621%11 Oct →
vertigo13–40.1018%11 Oct →
office13–00.0739%11 Oct →
dust213–60.0622%11 Oct →
nuke13–60.1017%9 Oct →
dust213–30.1220%8 Oct →
cache0–6-0.050%6 Oct →
mirage12–12-0.0227%6 Oct →
mirage13–30.0931%5 Oct →
nuke13–30.1212%3 Oct →
inferno13–110.0713%3 Oct →
ancient12–120.0519%3 Oct →
dust27–130.0315%3 Oct →
mirage10–130.0411%3 Oct →
inferno13–100.0922%28 Sept →
ancient13–2-0.0311%28 Sept →
cache4–13-0.0233%26 Sept →
inferno13–80.0120%25 Sept →
dust213–10.0529%25 Sept →
nuke13–50.1024%22 Sept →
dust27–13-0.0331%22 Sept →
mirage13–40.1021%21 Sept →
cache5–00.0627%21 Sept →
train13–80.0312%21 Sept →
dust213–110.1233%21 Sept →
vertigo10–130.0126%20 Sept →
mirage13–110.1726%18 Sept →
dust213–110.0830%17 Sept →
dust213–60.0315%17 Sept →
mirage13–10.0918%17 Sept →
train13–40.0838%17 Sept →
inferno13–90.0422%17 Sept →
anubis13–40.0735%16 Sept →
dust213–30.1038%15 Sept →
dust26–130.0927%14 Sept →
inferno2–70.039%14 Sept →
dust213–70.0329%13 Sept →
ancient13–80.0626%11 Sept →
dust213–80.0617%8 Sept →
dust27–130.0130%8 Sept →
dust213–90.1027%5 Sept →
train13–30.1536%5 Sept →
vertigo13–110.0522%5 Sept →
dust211–130.0523%5 Sept →
inferno13–50.0321%5 Sept →
dust213–70.1034%4 Sept →
dust25–13-0.0131%4 Sept →
train13–70.0922%3 Sept →
dust25–130.0823%2 Sept →
nuke6–130.0531%1 Sept →
cache13–60.0719%31 Aug →
inferno1–13-0.0244%28 Aug →
mirage12–120.0324%28 Aug →
cache12–120.0826%27 Aug →
vertigo13–60.0620%27 Aug →
mirage0–10-0.1027%26 Aug →
mirage11–130.0726%18 Aug →
dust213–40.2230%18 Aug →
nuke16–120.0827%18 Aug →
nuke5–130.0233%16 Aug →
dust27–130.0425%15 Aug →
train13–20.1531%15 Aug →
dust213–20.0925%15 Aug →
mirage13–10.1119%14 Aug →
dust213–20.1719%14 Aug →
nuke13–90.1028%14 Aug →
mirage13–10.0626%12 Aug →
nuke13–10.2225%10 Aug →
cache6–00.0450%10 Aug →
dust213–90.1222%10 Aug →
dust213–110.1120%7 Aug →
dust213–60.0435%7 Aug →
anubis13–60.0423%5 Aug →
dust27–130.0219%24 Jul →
mirage5–130.0528%22 Jul →
dust29–1-0.0018%22 Jul →
nuke13–80.008%22 Jul →
inferno13–60.1315%22 Jul →
cache13–16-0.0223%21 Jul →
inferno12–4-0.0322%20 Jul →
mirage13–100.1819%20 Jul →
nuke8–130.2025%20 Jul →
inferno6–13-0.0126%5 Jul →
mirage13–50.0315%3 Jul →
dust213–50.0822%2 Jul →
cache13–30.2922%1 Jul →
nuke13–90.0720%26 Jun →
nuke9–130.1020%26 Jun →
dust213–70.0940%26 Jun →
cache3–13-0.0321%25 Jun →
dust213–50.0823%25 Jun →
inferno13–40.0724%24 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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