tula ✮ — CS2 Stats

76561199149896014[U:1:1189630286]

209Tracked matches68%Win rate2025Tracked since
603Hours in CS16Hrs last 2 wks
CSDB Rating2.4 Learning
Premier CS Rating2,182Grey band · top ~90.7% of ranked players (population est.)
CSDB Leaderboard#17718 of 22717 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianvs Light Blue band
Headshot rate45.5%40.1%above
Shot accuracy0.1%7.6%7.5% short
Kill/death ratio0.510.920.41 short
Match win rate38.2%42.2%4.0% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

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

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CSDB.GGtula ✮PREMIER2,182 · Grey bandcsdb.gg/stats

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Performance scores

Aim13
Positioning19
Utility40

0–100 skill scores via Leetify.

Recent form

HOT44515Last 10044%Win rateWTWWWTWWWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim1.3
Aggression0.0
Utility4.0
Positioning1.9
Opening Duels0.0

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 57% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 22% on CT to 7% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 790ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.3
Positioning1.9
Utility4.0
Mechanics1.9
Opening Duels0.0
Win Impact10.0

Composite 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.04
first ⅓ avg -0.06 → last ⅓ avg -0.02
Reaction time792ms−15ms
first ⅓ avg 806ms → last ⅓ avg 792ms
Headshot accuracy15.4%+0.8%
first ⅓ avg 14.6% → last ⅓ avg 15.4%

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

0.13Best rating — mirage 13–4
132Biggest win — mirage
7Longest win streak
65In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 63% over 8ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB36181850%-0.04
dust2B26121446%-0.04
infernoC94544%-0.05
nukeA85363%-0.02
ancientD71614%-0.06
anubisD51420%-0.06
cache3030%-0.06
overpass3030%-0.03
train220100%-0.05
shelter110100%-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

6,730Lifetime kills
0.51K/D
841Matches
38.2%Match win rate
45.5%Headshot % · Top 50% of tracked players
0.1%Shot accuracy
763MVPs
285Hours (in match)
1,126Bombs planted
98Bombs defused

Most-used weapons

Lifetime map wins

1,992dust2
469inferno
289nuke
86train
40vertigo
25office
4militia

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.

14.3%Headshot accuracy
26.4%Accuracy (enemy spotted)
27.6%Spray accuracy
58.8%Counter-strafing
10.8°Preaim
790msReaction time
6.7%T opening success
22.0%CT opening success
0.42Enemies flashed / flash
4.8%Flash assists
7.36HE damage / grenade
7.91Flashes / 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 14.3492% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 789.6544ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.4207 — below the 0.5 mark we flag

    Grenade Lineups
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
nuke13–9-0.074%29 Aug
mirage12–12-0.0815%29 Aug
dust213–7-0.0212%29 Aug
mirage13–40.1322%28 Aug
mirage13–10-0.0717%28 Aug
mirage12–12-0.109%22 Aug
mirage13–10-0.0718%22 Aug
nuke13–40.0321%22 Aug
mirage13–10-0.0723%16 Aug
mirage10–13-0.0119%16 Aug
dust29–130.0318%16 Aug
anubis10–13-0.0513%16 Aug
inferno10–13-0.0610%10 Aug
mirage13–11-0.0112%10 Aug
dust213–9-0.0310%9 Aug
inferno13–7-0.0916%9 Aug
nuke13–6-0.017%9 Aug
mirage16–14-0.0610%9 Aug
anubis13–60.0226%8 Aug
inferno13–9-0.0513%8 Aug
cache6–13-0.036%8 Aug
nuke13–40.018%8 Aug
dust27–13-0.0312%2 Aug
mirage11–130.0413%2 Aug
mirage13–100.0117%2 Aug
dust213–50.0511%2 Aug
dust213–4-0.0213%29 Jul
mirage13–20.0733%29 Jul
dust211–13-0.0316%29 Jul
mirage7–13-0.0510%28 Jul
mirage14–16-0.0318%28 Jul
ancient13–16-0.0420%27 Jul
dust213–80.0034%27 Jul
cache6–13-0.0927%27 Jul
dust29–13-0.0522%26 Jul
nuke5–13-0.0316%26 Jul
mirage9–130.0015%26 Jul
mirage9–2-0.0214%26 Jul
mirage13–11-0.0528%24 Jul
inferno8–13-0.0923%24 Jul
dust24–13-0.0331%22 Jul
mirage5–13-0.0018%22 Jul
mirage13–4-0.0129%21 Jul
inferno4–13-0.100%20 Jul
mirage14–16-0.0617%20 Jul
dust213–40.0324%20 Jul
mirage3–13-0.074%20 Jul
dust213–10-0.0133%17 Jul
dust22–13-0.0614%15 Jul
ancient5–13-0.0824%11 Jul
ancient5–13-0.0716%11 Jul
nuke6–13-0.0410%11 Jul
mirage9–13-0.0311%11 Jul
ancient3–13-0.089%11 Jul
inferno12–120.0125%11 Jul
dust28–13-0.087%10 Jul
shelter13–4-0.056%10 Jul
dust213–9-0.104%5 Jul
mirage13–11-0.0413%5 Jul
anubis9–13-0.1121%4 Jul
dust210–13-0.0313%3 Jul
mirage12–12-0.0016%29 Jun
mirage13–4-0.0410%28 Jun
dust21–13-0.1230%28 Jun
dust25–13-0.0316%24 Jun
overpass8–13-0.0514%23 Jun
dust22–13-0.1315%23 Jun
nuke5–13-0.0610%23 Jun
mirage10–13-0.0810%23 Jun
ancient4–13-0.096%23 Jun
mirage6–13-0.0817%21 Jun
dust25–13-0.0326%21 Jun
mirage13–9-0.0717%21 Jun
overpass11–13-0.0133%21 Jun
inferno13–40.018%20 Jun
dust213–80.0113%20 Jun
anubis8–13-0.0814%20 Jun
nuke11–7-0.0119%20 Jun
mirage3–13-0.116%19 Jun
dust213–11-0.0610%19 Jun
ancient7–13-0.0514%18 Jun
mirage1–13-0.1820%18 Jun
train13–11-0.0713%17 Jun
mirage4–13-0.0610%17 Jun
overpass9–13-0.0433%17 Jun
dust213–9-0.0815%17 Jun
dust29–13-0.0717%15 Jun
inferno13–9-0.069%15 Jun
mirage15–15-0.0824%15 Jun
ancient13–70.0211%15 Jun
inferno7–13-0.0417%7 Jun
dust23–13-0.0613%7 Jun
mirage13–8-0.093%7 Jun
mirage10–0-0.0713%6 Jun
dust213–10-0.0715%1 Jun
mirage13–7-0.0913%1 Jun
cache5–13-0.0713%1 Jun
train13–6-0.0314%1 Jun
mirage13–9-0.0621%1 Jun
anubis8–13-0.085%1 Jun

Match data via Leetify.

Recent teammates

Milestones

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