Tobi aka Dexter

Tobi aka Dexter — CS2 Stats

DE76561198054887720[U:1:94621992]Steam profile ↗✓ No bans

1,794Tracked matches43%Win rate2020Tracked since
CSDB Rating3.6 Learning
Premier CS Rating15,319Purple band · top ~27.1% of ranked players (population est.)
CSDB Leaderboard#31642 of 53594 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGTobi aka DexterFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER15,319 · Purple bandcsdb.gg/stats

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Performance scores

Aim31
Positioning39
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY53434Last 10053%Win rateLWWWLWTLLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim3.1
Aggression4.4
Utility5.7
Positioning3.9
Opening Duels1.1

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 76% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.1
Positioning3.9
Utility5.7
Mechanics4.2
Opening Duels1.4
Win Impact2.6

Composite 3.6/10 (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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time593ms−39ms
first ⅓ avg 632ms → last ⅓ avg 593ms
Headshot accuracy11.4%+0.2%
first ⅓ avg 11.2% → last ⅓ avg 11.4%

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

0.14Best rating — vertigo 9–2
131Biggest win — inferno
4Longest win streak
93In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 70% over 10mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C27111641%-0.03
infernoS2114767%-0.02
cacheB158753%-0.02
anubisC125742%-0.05
ancientS107370%0.00
nukeS64267%-0.01
mirageD51420%-0.05
vertigo220100%0.05
overpass1010%-0.06
eldorado110100%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

93Matches
51%Win rate
0.80Avg K/D
ADR
35%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

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.

11.7%Headshot accuracy
31.5%Accuracy (enemy spotted)
29.8%Spray accuracy
68.9%Counter-strafing
13.2°Preaim
592msReaction time
27.5%T opening success
41.4%CT opening success
0.53Enemies flashed / flash
5.2%Flash assists
6.74HE damage / grenade
11.14Flashes / 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 13.1612° — 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 11.6611% — below the 15% mark we flag

    Aim Training
Spend your practice time on Mirage

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0411%30 Aug
ancient13–100.017%30 Aug
dust213–6-0.017%29 Aug
ancient13–20.0316%29 Aug
cache8–13-0.0913%29 Aug
anubis13–11-0.0613%29 Aug
inferno15–15-0.0313%29 Aug
dust26–13-0.044%28 Aug
cache4–13-0.0911%28 Aug
cache13–40.0117%28 Aug
dust26–13-0.0913%27 Aug
dust26–13-0.0913%27 Aug
inferno9–13-0.0113%26 Aug
anubis7–13-0.124%25 Aug
cache8–130.0020%24 Aug
dust213–7-0.0312%24 Aug
nuke15–15-0.0612%24 Aug
inferno10–13-0.0312%23 Aug
inferno13–4-0.056%23 Aug
cache9–13-0.0313%23 Aug
dust213–90.0414%22 Aug
ancient11–130.0319%21 Aug
anubis13–7-0.0212%21 Aug
cache8–13-0.0513%21 Aug
dust28–13-0.0714%21 Aug
inferno13–60.0011%20 Aug
anubis13–70.016%20 Aug
cache8–13-0.039%11 Aug
vertigo9–7-0.046%11 Aug
inferno9–70.0512%11 Aug
overpass4–9-0.0613%11 Aug
dust214–160.0014%10 Aug
anubis13–9-0.027%10 Aug
dust29–0-0.027%10 Aug
anubis13–8-0.0211%9 Aug
dust27–13-0.0810%9 Aug
dust216–12-0.0216%7 Aug
anubis7–13-0.037%7 Aug
inferno13–90.0112%6 Aug
nuke6–130.0114%6 Aug
mirage7–13-0.046%6 Aug
dust26–130.004%5 Aug
cache3–13-0.070%5 Aug
ancient13–40.0315%4 Aug
cache13–110.0215%3 Aug
inferno13–100.007%3 Aug
dust27–13-0.0626%2 Aug
nuke9–60.1115%2 Aug
cache13–8-0.0318%2 Aug
cache13–8-0.0610%31 Jul
inferno13–50.0514%31 Jul
ancient11–13-0.0311%31 Jul
eldorado9–40.063%31 Jul
nuke9–4-0.1222%31 Jul
inferno9–7-0.0621%31 Jul
vertigo9–20.1421%31 Jul
dust29–13-0.0712%30 Jul
dust213–70.0412%30 Jul
inferno13–7-0.0112%29 Jul
dust26–13-0.0628%29 Jul
inferno5–9-0.0415%28 Jul
inferno13–10-0.0112%28 Jul
inferno13–80.0114%27 Jul
ancient13–110.014%27 Jul
nuke13–5-0.0611%27 Jul
mirage15–15-0.071%27 Jul
inferno9–13-0.1110%27 Jul
mirage13–8-0.0415%26 Jul
cache13–7-0.0110%26 Jul
dust213–80.017%26 Jul
ancient13–6-0.0012%25 Jul
dust29–130.0310%25 Jul
inferno13–10-0.0714%25 Jul
cache13–70.0711%25 Jul
mirage13–16-0.0410%25 Jul
anubis3–13-0.080%24 Jul
cache13–50.022%24 Jul
ancient13–110.007%24 Jul
dust213–40.0413%24 Jul
inferno5–13-0.074%24 Jul
dust213–16-0.0414%23 Jul
dust213–110.0617%22 Jul
inferno13–10.0615%22 Jul
dust213–9-0.0410%22 Jul
dust215–15-0.0620%21 Jul
inferno3–13-0.0716%21 Jul
ancient8–13-0.0412%21 Jul
anubis4–13-0.0811%20 Jul
dust22–13-0.0811%20 Jul
inferno13–6-0.0613%15 Jul
cache13–40.0715%12 Jul
anubis4–13-0.070%12 Jul
ancient10–4-0.0320%12 Jul
inferno13–7-0.0515%12 Jul
anubis5–13-0.087%11 Jul
nuke13–30.037%11 Jul
dust213–11-0.048%11 Jul
dust26–13-0.0415%11 Jul
anubis4–13-0.0712%11 Jul
dust25–130.0217%10 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 →