Tuhma Tumpston

Tuhma Tumpston — CS2 Stats

FR76561198106278496[U:1:146012768]Steam profile ↗✓ No bans

530Tracked matches43%Win rate2021Tracked since
CSDB Rating3.9 LearningSupport
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 10,232 +1,198 6 Feb – 22 Jun · 37 days played
6,77711,303peak 11,3036 Feb22 Jun
11,411Peak Premier in tracked matches
46Days played since 2026-01-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGTuhma TumpstonFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim49
Positioning28
Utility48

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateWLLLLLWLLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +1.4pp headshot accuracy · −28ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 644ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 693ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 707ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim4.9
Utility4.8
Positioning2.8
Opening Duels0.0

Limited utility dependence

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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 708ms 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

Aim4.9
Positioning2.8
Utility4.8
Mechanics5.5
Opening Duels0.0
Win Impact2.8

Composite 3.9/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time711ms−32ms
first ⅓ avg 743ms → last ⅓ avg 711ms
Headshot accuracy12.3%+1.5%
first ⅓ avg 10.8% → 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.

Personal bests

0.11Best match rating · 13–7 · nuke, 24 Apr →
24%Best headshot accuracy · 5–13 · inferno, 22 May →
445msFastest reaction time · 7–13 · inferno, 8 May →
13–0Biggest win · anubis, 25 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 56% over 25ancientWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
infernoD289–1932%-0.03
nukeA2514–1156%-0.02
ancientD154–1127%-0.03
anubisB158–753%-0.02
overpassD103–730%-0.03
mirageC73–443%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.9%Headshot accuracy
36.1%Accuracy (enemy spotted)
42.8%Spray accuracy
74.6%Counter-strafing
11.5°Preaim
708msReaction time
14.7%T opening success
27.6%CT opening success
0.40Enemies flashed / flash
5.1%Flash assists
8.55HE damage / grenade
4.81Flashes / 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 12.8775% — 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 708.4984ms — 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 0.3996 — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–8-0.0118%24 Oct →
inferno7–13-0.0814%8 Oct →
inferno8–13-0.0019%26 Sept →
ancient11–13-0.0318%22 Jun →
mirage3–13-0.0621%22 Jun →
nuke10–13-0.0411%22 Jun →
nuke13–11-0.0213%21 Jun →
overpass8–130.0311%21 Jun →
overpass9–13-0.017%2 Jun →
mirage13–20.0218%2 Jun →
nuke13–50.0416%22 May →
nuke13–10-0.067%22 May →
inferno5–13-0.0224%22 May →
inferno11–13-0.0110%20 May →
nuke13–60.0217%20 May →
inferno9–130.0012%19 May →
inferno13–9-0.0120%16 May →
ancient13–6-0.065%13 May →
ancient5–13-0.1017%8 May →
inferno7–13-0.089%8 May →
ancient13–9-0.0215%8 May →
inferno13–16-0.106%7 May →
ancient11–130.0210%2 May →
nuke7–13-0.037%26 Apr →
inferno2–13-0.053%26 Apr →
anubis13–0-0.015%25 Apr →
inferno8–13-0.0215%25 Apr →
overpass13–5-0.0218%24 Apr →
nuke13–70.1114%24 Apr →
ancient13–11-0.0014%24 Apr →
inferno13–70.047%23 Apr →
mirage9–130.015%23 Apr →
nuke13–6-0.024%21 Apr →
inferno11–13-0.0612%21 Apr →
mirage13–90.0717%21 Apr →
nuke6–13-0.0113%16 Apr →
overpass8–13-0.056%10 Apr →
inferno12–16-0.089%10 Apr →
anubis13–5-0.0718%6 Apr →
anubis13–00.0118%6 Apr →
inferno15–15-0.0316%4 Apr →
anubis13–11-0.0512%4 Apr →
ancient13–60.0413%4 Apr →
nuke13–90.0013%27 Mar →
inferno8–130.0512%27 Mar →
inferno3–13-0.0819%26 Mar →
anubis4–13-0.0421%26 Mar →
nuke13–70.0310%26 Mar →
mirage8–13-0.0813%24 Mar →
overpass6–13-0.0510%24 Mar →
nuke3–13-0.0812%24 Mar →
overpass11–13-0.069%23 Mar →
nuke4–13-0.0217%23 Mar →
nuke8–13-0.034%21 Mar →
anubis13–90.049%20 Mar →
nuke10–13-0.0211%20 Mar →
inferno13–8-0.0711%20 Mar →
ancient7–13-0.028%20 Mar →
overpass13–10-0.0712%20 Mar →
inferno13–5-0.0610%14 Mar →
ancient15–15-0.0614%14 Mar →
ancient11–130.0015%14 Mar →
inferno13–60.0411%14 Mar →
inferno13–30.0620%7 Mar →
nuke8–13-0.0510%7 Mar →
nuke13–6-0.0414%7 Mar →
anubis4–13-0.0418%7 Mar →
overpass13–16-0.0521%23 Feb →
mirage13–2-0.0115%23 Feb →
anubis8–13-0.0610%23 Feb →
ancient7–13-0.083%22 Feb →
inferno13–8-0.069%22 Feb →
nuke13–4-0.0711%22 Feb →
nuke13–70.0115%21 Feb →
inferno15–150.0220%21 Feb →
inferno4–13-0.0418%16 Feb →
anubis9–13-0.0211%16 Feb →
ancient14–160.038%11 Feb →
nuke4–13-0.0113%11 Feb →
mirage9–13-0.093%11 Feb →
anubis13–8-0.0213%11 Feb →
nuke8–130.0313%10 Feb →
anubis13–160.0512%8 Feb →
nuke9–13-0.0614%7 Feb →
inferno8–13-0.079%7 Feb →
anubis2–13-0.0510%7 Feb →
inferno9–13-0.0515%6 Feb →
overpass13–70.004%6 Feb →
anubis16–14-0.0011%6 Feb →
ancient13–16-0.085%31 Jan →
anubis11–13-0.0110%31 Jan →
inferno13–10-0.0011%31 Jan →
inferno4–13-0.039%30 Jan →
ancient6–13-0.019%29 Jan →
nuke13–11-0.0511%29 Jan →
anubis13–11-0.079%26 Jan →
nuke13–11-0.0610%26 Jan →
ancient4–13-0.045%25 Jan →
overpass8–13-0.015%24 Jan →
inferno13–110.0216%24 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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