tum tum

tum tum — CS2 Stats

US76561198147762748[U:1:187497020]Steam profile ↗✓ No bans

4,226Tracked matches53%Win rate2022Tracked since
CSDB Rating6.3 SolidPositional Player
Premier CS Rating21,443Top 50% of 175,286 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#56399 of 222598 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+674Premier CS Rating · 20,769 → 21,443
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 24 days played since 21 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,443 -1,010 24 Aug17 Sept · 17 days played
20,12424,277peak 24,27724 Aug17 Sept
24,453Peak Premier in tracked matches
1,695Highest Faceit ELO seen on CSDB
24Days played since 2026-08-21

Faceit ELO

  • At peak — 1,695
  • Next: Level 9 at 1,751 56 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-28
  • Level 7 first seen 2026-08-28

Premier CS Rating

  • 2,834 below peak (24,277)
  • -1,010 over 30 days · declining
  • Next: Red band at 25,000 3,557 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGtum tumPREMIER21,443 · Pink bandPEAK ELO1,695csdb.gg/stats

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Performance scores

Aim66
Positioning65
Utility63

0–100 skill scores via Leetify.

Recent form

HOT464410Last 10046%Win rateWWLWWWLWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −5.7pp headshot accuracy · +31ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 672ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 674ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 659ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim6.6
Utility6.3
Positioning6.5
Opening Duels3.3
Clutch4.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 612ms 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

Aim6.6
Positioning6.5
Utility6.3
Mechanics6.3
Opening Duels4.2
Win Impact6.1

Composite 6.3/10 (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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time607ms+43ms
first ⅓ avg 564ms → last ⅓ avg 607ms
Headshot accuracy18.7%+1.9%
first ⅓ avg 16.8% → last ⅓ avg 18.7%

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.

Personal bests

0.15Best match rating · 13–5 · cache, 15 Sept
40%Best headshot accuracy · 9–7 · inferno, 9 Sept
391msFastest reaction time · 7–9 · inferno, 26 Aug
13–0Biggest win · mirage, 17 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
139In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 70% over 10dust2Weakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
nukeB22101245%0.02
dust2D1861233%-0.02
infernoC1661038%0.03
ancientC146843%0.01
mirageB105550%0.02
cacheS107370%0.02
anubisA74357%-0.00
vertigo32167%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,176Matches
50%Win rate
1.00Avg K/D
73.8ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage28450%0.9614.6
Ancient20958%1.0515.0
Dust220548%1.0314.9
Nuke14852%1.0915.1
Inferno10352%0.9313.9
Overpass9245%0.9414.1
Anubis7439%0.9714.0
Train2850%1.0314.1

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.

18.6%Headshot accuracy
36.2%Accuracy (enemy spotted)
38.1%Spray accuracy
78.4%Counter-strafing
11.1°Preaim
612msReaction time
44.8%T opening success
48.9%CT opening success
0.69Enemies flashed / flash
6.3%Flash assists
5.79HE damage / grenade
11.79Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–90.0518%17 Sept
mirage13–40.0721%17 Sept
dust27–13-0.0117%17 Sept
mirage13–0-0.0312%17 Sept
nuke13–40.0227%17 Sept
mirage13–50.0215%17 Sept
nuke11–13-0.0510%16 Sept
dust213–100.0216%16 Sept
cache13–50.1514%15 Sept
mirage11–130.0313%15 Sept
mirage13–80.1024%15 Sept
anubis13–11-0.0024%14 Sept
inferno6–13-0.0619%14 Sept
cache13–11-0.0421%14 Sept
nuke6–13-0.0614%14 Sept
nuke16–14-0.0125%13 Sept
dust28–13-0.0229%13 Sept
nuke3–13-0.0718%13 Sept
dust213–100.0422%13 Sept
nuke13–40.0724%13 Sept
dust211–13-0.0024%13 Sept
anubis13–160.0413%12 Sept
mirage13–80.0314%12 Sept
nuke1–13-0.0116%12 Sept
ancient13–8-0.0211%12 Sept
mirage13–160.0027%12 Sept
ancient13–80.0611%12 Sept
nuke9–13-0.0123%12 Sept
mirage14–16-0.0417%11 Sept
ancient10–13-0.0213%11 Sept
ancient9–130.0121%11 Sept
ancient5–13-0.0921%10 Sept
dust211–130.0222%10 Sept
nuke6–13-0.0322%10 Sept
nuke2–80.0022%10 Sept
inferno2–13-0.0116%10 Sept
anubis3–13-0.0213%10 Sept
inferno9–130.0419%10 Sept
inferno8–80.0117%10 Sept
inferno5–9-0.0329%9 Sept
nuke6–9-0.0618%9 Sept
inferno9–70.0740%9 Sept
ancient9–13-0.0412%8 Sept
anubis16–14-0.0219%8 Sept
inferno13–8-0.0215%8 Sept
dust215–15-0.0111%8 Sept
cache16–140.049%5 Sept
nuke13–10-0.0017%5 Sept
inferno13–70.0613%5 Sept
ancient13–160.0415%5 Sept
dust213–11-0.0218%4 Sept
ancient9–13-0.049%4 Sept
cache13–90.0311%4 Sept
anubis8–13-0.0111%3 Sept
ancient13–50.1210%3 Sept
nuke15–150.0317%3 Sept
dust216–130.016%3 Sept
anubis13–10-0.0120%3 Sept
nuke2–130.0412%3 Sept
cache5–13-0.0128%3 Sept
inferno13–70.0813%3 Sept
vertigo1–13-0.0518%3 Sept
inferno13–110.067%2 Sept
cache12–12-0.0114%2 Sept
dust213–11-0.0218%2 Sept
cache13–10.0113%1 Sept
vertigo13–100.0616%1 Sept
cache13–60.0522%1 Sept
ancient15–15-0.0013%1 Sept
inferno11–13-0.0213%31 Aug
nuke13–9-0.0119%31 Aug
ancient13–160.029%31 Aug
dust26–13-0.079%29 Aug
nuke3–13-0.046%29 Aug
mirage5–130.0422%29 Aug
nuke12–120.0819%29 Aug
vertigo13–40.0615%29 Aug
nuke13–110.1017%29 Aug
ancient13–110.0513%29 Aug
inferno12–120.1011%29 Aug
nuke13–100.1516%29 Aug
ancient13–50.0818%29 Aug
dust21–13-0.056%29 Aug
dust210–13-0.018%28 Aug
dust22–13-0.1118%28 Aug
cache13–5-0.055%28 Aug
dust210–13-0.0038%27 Aug
ancient13–11-0.0011%27 Aug
dust213–6-0.0227%26 Aug
cache12–120.0521%26 Aug
inferno7–90.0413%26 Aug
dust211–13-0.0221%24 Aug
mirage9–13-0.0423%24 Aug
anubis13–50.0218%24 Aug
dust211–13-0.0018%23 Aug
inferno8–8-0.0222%22 Aug
inferno8–80.0427%22 Aug
nuke9–60.0715%22 Aug
nuke9–70.0817%21 Aug
inferno9–30.1025%21 Aug

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 →