Klimma

Klimma — CS2 Stats

76561198096071779[U:1:135806051]Steam profile ↗✓ No bans

840Tracked matches71%Win rate2020Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating26,006Top 10% of 215,558 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#14008 of 261698 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

+411Premier CS Rating · 25,595 → 26,006

Rating over time

Premier CS Rating: 26,006 +1,742 11 Apr – 15 Nov · 12 days played
24,26428,270peak 28,27011 Apr15 Nov
28,316Peak Premier in tracked matches
44Days played since 2025-03-10

Premier CS Rating

  • 2,264 below peak (28,270)
  • +358 over 30 days · steady
  • Next: Gold band at 30,000 — 3,994 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

Share this profile

CSDB.GGKlimmaFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER26,006 · Red bandcsdb.gg/stats

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Performance scores

Aim78
Positioning59
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY62–31–7Last 10062%Win rateTLWLLLWWWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −5.0pp headshot accuracy · −81ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 517ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 533ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 573ms

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 Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim7.8
Utility5.8
Positioning5.9
Opening Duels4.0
Clutch2.6

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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 572ms 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

Aim7.8
Positioning5.9
Utility5.8
Mechanics6.6
Opening Duels3.9
Win Impact10.0

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time569ms−31ms
first ⅓ avg 600ms → last ⅓ avg 569ms
Headshot accuracy25.0%+2.5%
first ⅓ avg 22.5% → last ⅓ avg 25.0%

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

0.18Best match rating · 9–2 · nuke, 7 Oct →
75%Best headshot accuracy · 0–5 · inferno, 17 May →
406msFastest reaction time · 11–13 · inferno, 6 Nov →
13–1Biggest win · mirage, 17 May →

Across the last 100 tracked matches.

Highlights

11Longest win streak
5–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 86% over 7ancientWeakest map · 50% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA3321–1264%0.02
nukeS1410–471%0.03
ancientB126–650%0.01
infernoA116–555%0.01
dust2S96–367%0.02
cacheS76–186%0.02
anubisB63–350%0.01
overpassB63–350%-0.00
vertigo—10–10%-0.09
train—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

632Matches
55%Win rate
1.09Avg K/D
79.5ADR
54%Headshot %

Clutches & streaks

33%1v1 clutch win
34%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3161%1.1217.4
Ancient1547%1.3516.6
Dust2944%0.9414.9
Inferno989%1.1516.3
Nuke771%1.1417.9
Vertigo540%1.6019.4
Anubis540%0.8212.8
Overpass40%1.3725.5

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.

24.1%Headshot accuracy
36.0%Accuracy (enemy spotted)
39.9%Spray accuracy
79.7%Counter-strafing
11.0°Preaim
572msReaction time
46.2%T opening success
44.8%CT opening success
0.62Enemies flashed / flash
10.9%Flash assists
7.20HE damage / grenade
7.85Flashes / match

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0421%15 Nov →
cache10–130.0028%7 Nov →
ancient13–60.0122%6 Nov →
inferno11–130.0319%6 Nov →
anubis9–130.0431%25 Oct →
anubis9–13-0.0611%25 Oct →
mirage16–13-0.0219%25 Oct →
mirage13–90.0117%23 Oct →
mirage9–30.0724%23 Oct →
cache13–40.0627%23 Oct →
cache13–100.0424%4 Oct →
inferno13–3-0.0321%4 Oct →
nuke13–2-0.0415%4 Oct →
mirage13–10-0.0221%4 Oct →
mirage13–60.1146%4 Oct →
cache13–50.0116%4 Oct →
cache13–80.0537%20 Aug →
mirage9–130.0328%15 Jun →
mirage3–13-0.0131%15 Jun →
nuke12–160.0431%10 Jun →
mirage13–80.0110%10 Jun →
inferno0–50.0175%17 May →
mirage13–60.0312%17 May →
mirage13–10.0831%17 May →
nuke13–30.0923%17 May →
mirage12–120.0428%10 May →
cache13–90.0432%7 May →
cache13–7-0.0522%3 May →
dust213–8-0.0217%10 Apr →
mirage13–11-0.0326%10 Apr →
mirage6–130.0625%10 Apr →
nuke13–80.0519%30 Jan →
mirage13–100.0617%28 Jan →
vertigo6–9-0.0915%28 Jan →
inferno13–7-0.0221%22 Jan →
mirage13–100.0424%22 Jan →
nuke2–13-0.0233%9 Jan →
mirage11–130.0124%9 Jan →
train13–3-0.0314%9 Jan →
anubis13–20.0520%10 Dec →
anubis9–00.0247%10 Dec →
dust213–90.0520%28 Nov →
mirage11–130.0520%21 Nov →
nuke9–20.1832%7 Oct →
nuke4–13-0.0345%11 Sept →
dust28–130.0730%11 Sept →
inferno13–6-0.0327%13 Aug →
overpass13–8-0.0226%10 Aug →
inferno13–80.0018%7 Aug →
overpass11–13-0.0122%7 Aug →
mirage8–12-0.0422%24 Jul →
overpass2–130.0129%24 Jul →
ancient13–100.0819%24 Jul →
mirage13–50.0112%20 Jul →
mirage15–15-0.0123%20 Jul →
nuke5–10.0226%20 Jul →
inferno13–20.0528%20 Jul →
mirage8–13-0.0225%20 Jul →
overpass13–30.0233%20 Jul →
ancient10–130.0329%20 Jul →
nuke13–30.1229%17 Jul →
mirage13–110.0142%17 Jul →
overpass13–10-0.0220%17 Jul →
overpass12–120.0127%16 Jul →
ancient16–130.0328%13 Jul →
dust213–90.0319%13 Jul →
ancient9–130.0324%13 Jul →
inferno7–13-0.0117%13 Jul →
ancient11–13-0.0521%12 Jul →
inferno7–130.0129%12 Jul →
nuke13–6-0.0130%12 Jul →
mirage13–50.0517%12 Jul →
ancient5–13-0.0325%10 Jul →
nuke13–11-0.0319%10 Jul →
ancient13–90.0425%10 Jul →
anubis13–70.0221%10 Jul →
dust213–10-0.0428%10 Jul →
nuke8–13-0.0519%10 Jul →
mirage13–11-0.0426%15 Jun →
mirage5–13-0.0426%15 Jun →
ancient13–100.0327%14 Jun →
ancient15–15-0.0232%14 Jun →
mirage13–40.1013%14 Jun →
mirage19–170.0217%13 May →
nuke19–160.0622%11 May →
mirage19–16-0.0219%10 May →
inferno13–30.0625%7 May →
dust210–13-0.0123%7 May →
dust213–100.0834%6 May →
anubis3–13-0.0221%6 May →
mirage13–80.0222%6 May →
mirage13–7-0.0324%6 May →
mirage15–15-0.0225%11 Apr →
nuke13–100.0538%11 Apr →
dust216–130.0624%11 Apr →
ancient5–13-0.0411%11 Apr →
ancient13–70.0315%23 Mar →
inferno11–13-0.0213%15 Mar →
mirage13–40.0417%15 Mar →
mirage12–120.0819%10 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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