TesááKkk88 — CS2 Stats

76561199645672967[U:1:1685407239]

1,425Tracked matches52%Win rate2024Tracked since
1,922Hours in CS8Hrs last 2 wks
CSDB Rating6.1 SolidAggressive Rifler
Premier CS Rating21,341Top 50% of 17,162 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#9490 of 28099 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 medianRed band medianvs Red band
Headshot rate45.7%47.2%49.9%4.2% short
Shot accuracy0.0%12.7%13.4%13.4% short
Kill/death ratio1.141.091.12meets
Match win rate53.7%46.6%48.4%above

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGTesááKkk88PREMIER21,341 · Pink bandcsdb.gg/stats

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Performance scores

Aim83
Positioning48
Utility47

0–100 skill scores via Leetify.

Recent form

HOT43534Last 10043%Win rateWWLWWTWWLW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

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

Aim8.3
Aggression7.2
Utility4.7
Positioning4.8
Opening Duels2.8
Clutch3.6

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: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.3
Positioning4.8
Utility4.7
Mechanics6.5
Opening Duels2.8
Win Impact5.6

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time555ms−63ms
first ⅓ avg 617ms → last ⅓ avg 555ms
Headshot accuracy18.0%−0.4%
first ⅓ avg 18.4% → last ⅓ avg 18.0%

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

0.12Best rating — cache 13–5
131Biggest win — dust2
4Longest win streak
W2Current streak
66In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 57% over 14ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C25101540%-0.00
infernoB23121152%0.01
mirageB1991047%0.00
cacheA148657%0.02
ancientD71614%-0.03
anubisD61517%0.01
nukeC52340%0.00
overpass1010%-0.05

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

45,017Lifetime kills
1.14K/D · Top 50% of Pink band
2,203Matches
53.7%Match win rate · Top 10% of Pink band
45.7%Headshot %
0.0%Shot accuracy
6,147MVPs
944Hours (in match)
2,507Bombs planted
522Bombs defused

Most-used weapons

AK-4713,907
AWP4,604
SSG 082,192
MP91,147
FAMAS1,094

Lifetime map wins

5,364dust2
4,489inferno
2,010nuke
1,168vertigo
193train
81office
1italy
1ar_shoots

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

Faceit stats

Combat

770Matches
50%Win rate
1.10Avg K/D
84.9ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage16551%1.0815.8
Dust216152%1.0816.7
Inferno13956%1.2017.5
Anubis11555%1.1217.9
Ancient7144%1.0515.2
Vertigo5139%1.0216.8
Nuke3839%1.0616.0
Overpass1547%1.0417.3

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.

17.3%Headshot accuracy
38.2%Accuracy (enemy spotted)
42.5%Spray accuracy
79.4%Counter-strafing
8.1°Preaim
549msReaction time
43.0%T opening success
39.6%CT opening success
0.43Enemies flashed / flash
1.8%Flash assists
7.74HE damage / grenade
8.35Flashes / 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 0.4275 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.554% — 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 & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0116%26 Aug
inferno13–40.0820%25 Aug
cache5–130.0716%25 Aug
inferno13–50.0515%25 Aug
cache13–100.0621%25 Aug
anubis15–150.099%25 Aug
cache13–60.0021%22 Aug
cache13–80.074%22 Aug
mirage7–130.0016%14 Aug
dust213–7-0.0118%13 Aug
mirage13–60.1120%13 Aug
cache1–13-0.0424%13 Aug
nuke13–70.0615%12 Aug
inferno4–70.0614%12 Aug
dust21–13-0.0412%12 Aug
anubis3–13-0.0315%10 Aug
dust213–5-0.0115%10 Aug
inferno3–130.0025%10 Aug
ancient9–130.0520%9 Aug
inferno4–13-0.0324%9 Aug
cache9–13-0.0310%5 Aug
cache13–50.1221%5 Aug
dust27–13-0.0119%3 Aug
inferno6–120.0917%3 Aug
mirage13–6-0.0421%3 Aug
dust213–50.0120%2 Aug
cache13–70.0716%2 Aug
ancient5–13-0.0919%30 Jul
inferno5–13-0.0521%30 Jul
mirage13–8-0.0123%30 Jul
anubis7–130.0317%29 Jul
mirage5–130.0024%29 Jul
inferno13–50.0128%29 Jul
mirage5–130.0226%29 Jul
cache7–130.0330%29 Jul
dust213–5-0.0022%29 Jul
inferno13–30.0823%28 Jul
inferno13–70.0628%28 Jul
inferno13–110.0732%28 Jul
dust210–13-0.0132%28 Jul
cache13–8-0.0114%27 Jul
inferno13–100.0311%27 Jul
dust28–13-0.0113%26 Jul
dust213–10-0.0220%25 Jul
nuke13–110.0317%25 Jul
mirage7–130.0419%25 Jul
dust213–10.0726%24 Jul
inferno11–130.039%21 Jul
ancient5–130.0418%21 Jul
inferno13–50.0616%21 Jul
dust213–110.0123%20 Jul
dust21–7-0.0336%20 Jul
mirage0–13-0.0510%15 Jul
mirage13–7-0.0621%15 Jul
dust213–5-0.1030%15 Jul
cache13–30.0218%15 Jul
dust24–13-0.0824%15 Jul
cache15–15-0.0917%14 Jul
mirage13–70.0615%14 Jul
mirage13–70.0532%14 Jul
cache11–13-0.0121%14 Jul
dust213–110.0422%13 Jul
inferno8–13-0.1023%8 Jul
ancient5–13-0.0717%8 Jul
mirage11–13-0.0315%6 Jul
mirage13–80.0516%6 Jul
nuke9–130.0015%6 Jul
inferno1–13-0.0125%6 Jul
dust22–13-0.0422%12 Jun
dust24–130.0417%12 Jun
mirage9–13-0.018%11 Jun
dust29–130.0523%11 Jun
nuke0–2-0.020%11 Jun
inferno4–13-0.0635%11 Jun
inferno13–50.0315%8 Jun
dust25–13-0.0212%5 Jun
dust24–130.0716%5 Jun
dust27–130.0810%5 Jun
ancient13–9-0.0320%4 Jun
inferno7–9-0.1318%4 Jun
inferno16–140.0118%3 Jun
dust24–130.0227%3 Jun
mirage11–13-0.0712%3 Jun
anubis13–10-0.0111%3 Jun
nuke3–13-0.0518%3 Jun
inferno9–130.0121%3 Jun
overpass1–13-0.0520%2 Jun
anubis4–130.018%2 Jun
dust215–15-0.0020%2 Jun
mirage5–130.0217%2 Jun
mirage13–10-0.0212%2 Jun
dust213–100.0417%2 Jun
dust215–15-0.0619%1 Jun
inferno13–1-0.0211%31 May
mirage8–13-0.0536%31 May
mirage13–11-0.0122%31 May
ancient0–13-0.0444%30 May
ancient6–13-0.0416%30 May
anubis8–13-0.0425%25 May
inferno13–80.0613%23 May

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 →