tervito

tervito — CS2 Stats

76561199161516799[U:1:1201251071]Steam profile ↗✓ No bans

1,932Tracked matches56%Win rate2023Tracked since
1,974Hours in CS21Hrs last 2 wks
CSDB Rating3.7 Learning
Ladder ranks via Leetify

Performance scores

Aim32
Positioning29
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY55387Last 10055%Win rateWTWLLLWTWW

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

Player DNA

Aim3.2
Aggression1.5
Utility5.1
Positioning2.9
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 65% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 689ms 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

Aim3.2
Positioning2.9
Utility5.1
Mechanics5.0
Opening Duels0.0
Win Impact6.9

Composite 3.7/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time699ms+7ms
first ⅓ avg 691ms → last ⅓ avg 699ms
Headshot accuracy14.6%+2.8%
first ⅓ avg 11.8% → last ⅓ avg 14.6%

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

0.15Best rating — boulder 13–7
130Biggest win — train
9Longest win streak
93In matches decided by ≤2 rounds

Map breakdown

boulderBest map · 86% over 7infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheA159660%-0.00
nukeS1310377%0.00
mirageB115645%-0.00
vertigoC114736%-0.02
trainB115645%0.04
anubisA106460%-0.01
infernoD82625%0.00
boulderS76186%0.04
dust2C52340%-0.01
overpass32167%-0.02
fachwerk330100%0.05
poseidon1010%-0.05
ancient1010%-0.05
shelter110100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,575Lifetime kills
0.71K/D
2,027Matches
41.7%Match win rate
42.3%Headshot %
0.1%Shot accuracy
2,652MVPs
741Hours (in match)
3,046Bombs planted
405Bombs defused

Most-used weapons

Lifetime map wins

4,511nuke
2,468inferno
2,293vertigo
1,369train
640dust2
104office
11italy
10ar_shoots

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.

14.4%Headshot accuracy
30.1%Accuracy (enemy spotted)
32.3%Spray accuracy
72.5%Counter-strafing
12.0°Preaim
689msReaction time
22.7%T opening success
23.1%CT opening success
0.55Enemies flashed / flash
5.6%Flash assists
6.43HE damage / grenade
14.46Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0464° — above the 12° mark we flag

    Aim Training
  2. 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 14.4027% — below the 15% mark we flag

    Aim Training
Spend your practice time on Inferno

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–100.0515%27 Aug
mirage12–12-0.0316%27 Aug
anubis13–11-0.0013%25 Aug
inferno4–13-0.1024%25 Aug
inferno11–130.0721%25 Aug
vertigo8–13-0.0319%25 Aug
nuke13–80.0425%25 Aug
cache12–120.0315%25 Aug
inferno13–7-0.0017%21 Aug
anubis13–70.0215%21 Aug
train13–70.0227%21 Aug
mirage13–8-0.0010%21 Aug
vertigo7–13-0.044%18 Aug
nuke13–2-0.048%18 Aug
overpass13–90.006%17 Aug
nuke13–5-0.0117%17 Aug
cache3–130.0511%17 Aug
anubis2–130.0110%17 Aug
cache13–11-0.0411%16 Aug
train6–130.079%16 Aug
dust213–8-0.0010%16 Aug
anubis12–12-0.0810%14 Aug
dust211–13-0.0317%14 Aug
cache9–130.059%14 Aug
train5–10-0.0017%14 Aug
cache13–8-0.0313%14 Aug
mirage13–80.0216%14 Aug
train13–70.1113%13 Aug
mirage2–13-0.0519%11 Aug
cache1–13-0.0617%11 Aug
train2–130.0222%10 Aug
vertigo6–130.0312%10 Aug
dust29–13-0.0116%10 Aug
mirage13–60.039%10 Aug
vertigo13–6-0.017%10 Aug
poseidon7–9-0.0529%10 Aug
dust26–13-0.0613%10 Aug
inferno6–13-0.0113%10 Aug
anubis13–90.0515%8 Aug
nuke13–9-0.0117%8 Aug
mirage10–130.0824%8 Aug
inferno10–130.0711%8 Aug
train7–130.0515%8 Aug
vertigo13–40.0310%4 Aug
inferno13–20.0327%4 Aug
anubis13–60.079%4 Aug
cache13–20.0917%4 Aug
mirage8–30.0511%4 Aug
nuke13–50.0217%3 Aug
vertigo13–110.0720%3 Aug
vertigo12–12-0.0422%2 Aug
overpass4–13-0.0428%31 Jul
train4–130.0118%31 Jul
nuke12–12-0.0015%29 Jul
vertigo5–13-0.0811%29 Jul
ancient4–13-0.0517%29 Jul
cache13–90.0313%29 Jul
nuke13–80.0412%22 Jul
anubis13–3-0.057%22 Jul
vertigo7–13-0.055%22 Jul
cache13–100.0114%22 Jul
train13–70.019%20 Jul
overpass13–11-0.0211%20 Jul
nuke4–13-0.077%20 Jul
mirage5–13-0.0927%20 Jul
vertigo13–3-0.093%20 Jul
train12–12-0.0513%20 Jul
cache13–20.0316%19 Jul
dust213–110.0411%19 Jul
inferno2–13-0.0829%18 Jul
cache2–13-0.070%17 Jul
mirage13–40.036%17 Jul
nuke13–11-0.0412%17 Jul
boulder13–30.0010%17 Jul
anubis12–12-0.0515%15 Jul
cache13–6-0.0121%15 Jul
nuke13–100.1013%15 Jul
nuke6–13-0.053%15 Jul
mirage4–13-0.0316%15 Jul
train13–110.0712%14 Jul
vertigo1–100.038%14 Jul
fachwerk13–110.0614%14 Jul
boulder7–13-0.068%12 Jul
fachwerk13–110.0317%12 Jul
cache1–13-0.0611%12 Jul
anubis13–60.019%12 Jul
anubis9–13-0.048%11 Jul
boulder7–40.0620%11 Jul
shelter13–50.0111%11 Jul
boulder13–80.0419%11 Jul
boulder13–30.059%11 Jul
boulder13–70.159%11 Jul
cache13–8-0.074%10 Jul
fachwerk13–60.0613%9 Jul
boulder13–90.0114%9 Jul
train13–00.1020%8 Jul
inferno10–130.0310%7 Jul
cache13–7-0.018%7 Jul
nuke13–6-0.029%6 Jul
mirage9–13-0.058%6 Jul

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 →