TOTTI    10

TOTTI 10 — CS2 Stats

76561198006717057[U:1:46451329]Steam profile ↗✓ No bans

2,912Tracked matches60%Win rate2020Tracked since
CSDB Rating2.9 LearningClutch Specialist
Premier CS Rating9,820Light Blue band · top ~55.8% of ranked players (population est.)
CSDB Leaderboard#15152 of 20544 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGTOTTI 10FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER9,820 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim12
Positioning37
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateWLWLWWLWLT

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim1.2
Aggression4.7
Utility5.8
Positioning3.7
Opening Duels1.7
Clutch9.4

Reliable in 1v1s

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 77% playstyle similarity

Most alike: opening-fight frequency, 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. 667ms 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

Aim1.2
Positioning3.7
Utility5.8
Mechanics2.0
Opening Duels1.7
Win Impact8.3

Composite 2.9/10 (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+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time684ms−15ms
first ⅓ avg 699ms → last ⅓ avg 684ms
Headshot accuracy12.3%+0.9%
first ⅓ avg 11.4% → last ⅓ avg 12.3%

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 — inferno 9–2
131Biggest win — inferno
4Longest win streak
88In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 60% over 10cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B32161650%-0.02
infernoA25141156%-0.02
mirageA106460%-0.02
nukeC83538%-0.03
ancientC83538%-0.03
cacheD72529%-0.03
vertigoD62433%-0.03
anubis220100%-0.01
overpass2020%-0.10

Across the last 100 tracked matches.

Faceit stats

Combat

79Matches
48%Win rate
0.77Avg K/D
77.1ADR
28%Headshot %

Clutches & streaks

67%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2475%1.3015.8
Inferno367%0.7710.3
Anubis250%1.2414.5
Ancient1100%1.2714.0
Mirage10%1.1820.0

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.

10.8%Headshot accuracy
28.1%Accuracy (enemy spotted)
29.1%Spray accuracy
59.1%Counter-strafing
14.9°Preaim
667msReaction time
33.8%T opening success
39.7%CT opening success
0.52Enemies flashed / flash
7.4%Flash assists
7.97HE damage / grenade
8.43Flashes / 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 14.8687° — 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 10.811% — below the 15% mark we flag

    Aim Training
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno13–30.0623%28 Aug
dust22–13-0.0926%28 Aug
anubis13–9-0.0314%28 Aug
inferno5–9-0.0914%28 Aug
inferno9–7-0.0910%28 Aug
dust213–6-0.0411%26 Aug
inferno8–13-0.0212%24 Aug
mirage13–11-0.066%24 Aug
nuke6–9-0.1027%24 Aug
inferno8–8-0.0526%24 Aug
mirage16–14-0.027%21 Aug
dust210–13-0.0518%21 Aug
nuke9–6-0.019%21 Aug
nuke13–40.0311%20 Aug
cache13–9-0.1115%20 Aug
dust213–80.008%20 Aug
dust28–13-0.060%20 Aug
vertigo6–9-0.065%20 Aug
inferno6–9-0.0517%20 Aug
dust27–130.0215%18 Aug
ancient16–120.045%18 Aug
cache9–13-0.045%14 Aug
inferno13–9-0.0113%14 Aug
mirage6–1-0.058%13 Aug
nuke16–130.068%9 Aug
anubis13–50.005%9 Aug
dust23–13-0.024%9 Aug
inferno9–6-0.037%9 Aug
inferno13–10.0529%8 Aug
cache11–130.0115%8 Aug
dust213–7-0.0110%8 Aug
ancient13–60.0113%8 Aug
vertigo7–90.0313%8 Aug
vertigo9–10.1512%8 Aug
dust213–80.0612%7 Aug
mirage5–13-0.0112%7 Aug
vertigo0–9-0.300%7 Aug
inferno9–70.0215%7 Aug
ancient9–13-0.0110%5 Aug
dust214–16-0.099%3 Aug
dust211–130.0212%3 Aug
inferno13–5-0.044%1 Aug
mirage5–13-0.0311%1 Aug
dust25–13-0.047%1 Aug
dust29–13-0.023%30 Jul
mirage13–40.047%30 Jul
cache7–13-0.0321%30 Jul
inferno11–130.0613%29 Jul
dust214–160.016%28 Jul
dust26–13-0.0512%28 Jul
inferno9–70.0915%28 Jul
dust28–13-0.0514%26 Jul
nuke6–13-0.085%26 Jul
inferno8–13-0.0513%25 Jul
dust213–80.0819%25 Jul
nuke4–130.0212%25 Jul
dust28–13-0.0212%25 Jul
inferno9–60.0117%25 Jul
nuke7–90.0310%25 Jul
dust213–11-0.0110%24 Jul
dust213–5-0.0615%24 Jul
vertigo8–80.0210%24 Jul
nuke1–9-0.1720%24 Jul
ancient8–13-0.027%21 Jul
dust216–12-0.0110%17 Jul
dust216–13-0.055%17 Jul
inferno9–4-0.0419%17 Jul
inferno4–9-0.066%17 Jul
cache8–13-0.0310%16 Jul
mirage16–12-0.049%16 Jul
ancient8–13-0.078%16 Jul
inferno5–9-0.1117%16 Jul
inferno9–20.159%16 Jul
inferno2–9-0.204%16 Jul
inferno13–80.029%11 Jul
dust213–8-0.036%8 Jul
dust210–130.0519%8 Jul
dust213–10-0.068%8 Jul
dust213–10-0.0318%5 Jul
mirage15–15-0.0314%5 Jul
dust213–1-0.0218%5 Jul
inferno16–14-0.0411%5 Jul
dust213–10-0.0219%5 Jul
inferno15–15-0.0610%1 Jul
mirage13–11-0.0211%25 Jun
dust213–30.018%25 Jun
dust23–130.0021%15 Jun
vertigo9–6-0.040%15 Jun
ancient7–13-0.0915%14 Jun
mirage10–13-0.0322%14 Jun
inferno2–13-0.0617%14 Jun
cache13–9-0.010%9 Jun
overpass6–9-0.1217%9 Jun
overpass7–9-0.075%9 Jun
ancient13–8-0.0215%9 Jun
cache10–13-0.007%6 Jun
dust213–2-0.055%3 Jun
inferno13–60.0214%3 Jun
dust21–13-0.098%3 Jun
ancient8–13-0.0718%3 Jun

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 →